Built for applicant tracking systems

ATS Professional

ATS-safe

Single column, standard headings, no graphics. The safest choice when you know the resume goes through a parser first.

Large-company applications · Job boards · Any posting with an online form

Priya Menon

priya.menon@example.com+91 98765 43210Bengaluru, Indialinkedin.com/in/examplegithub.com/example

Professional Summary

Data scientist with 4 years of experience building forecasting and churn models in retail. Owns work end to end, from warehouse SQL through model deployment to the dashboards category managers use daily.

Work Experience

Data Scientist — Northwind RetailApr 2023 – Present

Bengaluru

Built a demand forecasting model across 1200 SKUs, reducing stockouts by 18% in the first two quarters.
Replaced a manual weekly reporting process with an Airflow pipeline, cutting turnaround from 2 days to 3 hours.
Partnered with four category managers to turn model output into pricing decisions they could act on directly.

Data Analyst — Zentra AnalyticsJul 2021 – Mar 2023

Remote

Developed SQL models feeding 12 recurring business reports used across three departments.
Led the migration of legacy Excel reporting into Power BI, training 20 colleagues on the new dashboards.

Education

B.Tech, Computer Science — National Institute of Technology2021

GPA: 8.6/10

Relevant coursework: Machine Learning, Statistics, Database Systems

Skills

Languages & Core Tech: Python, SQL, R

Frameworks & Libraries: pandas, scikit-learn, PyTorch, Prophet

Tools & Platforms: Airflow, Power BI, dbt, Snowflake, Git, Docker

Soft Skills: Stakeholder communication, Mentoring

Projects

Churn Early-Warning ModelPython, scikit-learn, Streamlit

github.com/example/churn

Trained a gradient-boosted classifier on 50,000 subscription records, surfacing at-risk accounts 30 days ahead.

Certifications

Google Advanced Data Analytics — GoogleMar 2023

dbt Analytics Engineering — dbt LabsAug 2022

Talks & Writing

Spoke on retail demand forecasting at PyData Bengaluru, 2024.

Contemporary

Modern

ATS-safe

Sans-serif with a blue accent and generous whitespace. Contemporary without being decorative.

Startups · Product roles · Tech companies

Priya Menon

priya.menon@example.com+91 98765 43210Bengaluru, Indialinkedin.com/in/examplegithub.com/example

Professional Summary

Data scientist with 4 years of experience building forecasting and churn models in retail. Owns work end to end, from warehouse SQL through model deployment to the dashboards category managers use daily.

Work Experience

Data Scientist — Northwind RetailApr 2023 – Present

Bengaluru

Built a demand forecasting model across 1200 SKUs, reducing stockouts by 18% in the first two quarters.
Replaced a manual weekly reporting process with an Airflow pipeline, cutting turnaround from 2 days to 3 hours.
Partnered with four category managers to turn model output into pricing decisions they could act on directly.

Data Analyst — Zentra AnalyticsJul 2021 – Mar 2023

Remote

Developed SQL models feeding 12 recurring business reports used across three departments.
Led the migration of legacy Excel reporting into Power BI, training 20 colleagues on the new dashboards.

Education

B.Tech, Computer Science — National Institute of Technology2021

GPA: 8.6/10

Relevant coursework: Machine Learning, Statistics, Database Systems

Skills

Languages & Core Tech: Python, SQL, R

Frameworks & Libraries: pandas, scikit-learn, PyTorch, Prophet

Tools & Platforms: Airflow, Power BI, dbt, Snowflake, Git, Docker

Soft Skills: Stakeholder communication, Mentoring

Projects

Churn Early-Warning ModelPython, scikit-learn, Streamlit

github.com/example/churn

Trained a gradient-boosted classifier on 50,000 subscription records, surfacing at-risk accounts 30 days ahead.

Certifications

Google Advanced Data Analytics — GoogleMar 2023

dbt Analytics Engineering — dbt LabsAug 2022

Talks & Writing

Spoke on retail demand forecasting at PyData Bengaluru, 2024.

Minimal

ATS-safe

No rules, no colour, nothing but hierarchy and space. Content has nowhere to hide.

Design-conscious teams · Senior individual contributors

Priya Menon

priya.menon@example.com+91 98765 43210Bengaluru, Indialinkedin.com/in/examplegithub.com/example

Professional Summary

Data scientist with 4 years of experience building forecasting and churn models in retail. Owns work end to end, from warehouse SQL through model deployment to the dashboards category managers use daily.

Work Experience

Data Scientist — Northwind RetailApr 2023 – Present

Bengaluru

Built a demand forecasting model across 1200 SKUs, reducing stockouts by 18% in the first two quarters.
Replaced a manual weekly reporting process with an Airflow pipeline, cutting turnaround from 2 days to 3 hours.
Partnered with four category managers to turn model output into pricing decisions they could act on directly.

Data Analyst — Zentra AnalyticsJul 2021 – Mar 2023

Remote

Developed SQL models feeding 12 recurring business reports used across three departments.
Led the migration of legacy Excel reporting into Power BI, training 20 colleagues on the new dashboards.

Education

B.Tech, Computer Science — National Institute of Technology2021

GPA: 8.6/10

Relevant coursework: Machine Learning, Statistics, Database Systems

Skills

Languages & Core Tech: Python, SQL, R

Frameworks & Libraries: pandas, scikit-learn, PyTorch, Prophet

Tools & Platforms: Airflow, Power BI, dbt, Snowflake, Git, Docker

Soft Skills: Stakeholder communication, Mentoring

Projects

Churn Early-Warning ModelPython, scikit-learn, Streamlit

github.com/example/churn

Trained a gradient-boosted classifier on 50,000 subscription records, surfacing at-risk accounts 30 days ahead.

Certifications

Google Advanced Data Analytics — GoogleMar 2023

dbt Analytics Engineering — dbt LabsAug 2022

Talks & Writing

Spoke on retail demand forecasting at PyData Bengaluru, 2024.

Technical roles

Tech

ATS-safe

Skills promoted above education, dense bullets, monospace accents on the stack line.

Engineering roles · DevOps · Platform teams

Priya Menon

priya.menon@example.com+91 98765 43210Bengaluru, Indialinkedin.com/in/examplegithub.com/example

Professional Summary

Data scientist with 4 years of experience building forecasting and churn models in retail. Owns work end to end, from warehouse SQL through model deployment to the dashboards category managers use daily.

Skills

Languages & Core Tech: Python, SQL, R

Frameworks & Libraries: pandas, scikit-learn, PyTorch, Prophet

Tools & Platforms: Airflow, Power BI, dbt, Snowflake, Git, Docker

Soft Skills: Stakeholder communication, Mentoring

Work Experience

Data Scientist — Northwind RetailApr 2023 – Present

Bengaluru

Built a demand forecasting model across 1200 SKUs, reducing stockouts by 18% in the first two quarters.
Replaced a manual weekly reporting process with an Airflow pipeline, cutting turnaround from 2 days to 3 hours.
Partnered with four category managers to turn model output into pricing decisions they could act on directly.

Data Analyst — Zentra AnalyticsJul 2021 – Mar 2023

Remote

Developed SQL models feeding 12 recurring business reports used across three departments.
Led the migration of legacy Excel reporting into Power BI, training 20 colleagues on the new dashboards.

Projects

Churn Early-Warning ModelPython, scikit-learn, Streamlit

github.com/example/churn

Trained a gradient-boosted classifier on 50,000 subscription records, surfacing at-risk accounts 30 days ahead.

Education

B.Tech, Computer Science — National Institute of Technology2021

GPA: 8.6/10

Relevant coursework: Machine Learning, Statistics, Database Systems

Certifications

Google Advanced Data Analytics — GoogleMar 2023

dbt Analytics Engineering — dbt LabsAug 2022

Talks & Writing

Spoke on retail demand forecasting at PyData Bengaluru, 2024.

Data Science

ATS-safe

Projects sit alongside experience, with room for methods and tooling. Written for portfolios that carry as much weight as job history.

Data Scientist · ML Engineer · Research roles

Priya Menon

priya.menon@example.com+91 98765 43210Bengaluru, Indialinkedin.com/in/examplegithub.com/example

Professional Summary

Data scientist with 4 years of experience building forecasting and churn models in retail. Owns work end to end, from warehouse SQL through model deployment to the dashboards category managers use daily.

Skills

Languages & Core Tech: Python, SQL, R

Frameworks & Libraries: pandas, scikit-learn, PyTorch, Prophet

Tools & Platforms: Airflow, Power BI, dbt, Snowflake, Git, Docker

Soft Skills: Stakeholder communication, Mentoring

Work Experience

Data Scientist — Northwind RetailApr 2023 – Present

Bengaluru

Built a demand forecasting model across 1200 SKUs, reducing stockouts by 18% in the first two quarters.
Replaced a manual weekly reporting process with an Airflow pipeline, cutting turnaround from 2 days to 3 hours.
Partnered with four category managers to turn model output into pricing decisions they could act on directly.

Data Analyst — Zentra AnalyticsJul 2021 – Mar 2023

Remote

Developed SQL models feeding 12 recurring business reports used across three departments.
Led the migration of legacy Excel reporting into Power BI, training 20 colleagues on the new dashboards.

Projects

Churn Early-Warning ModelPython, scikit-learn, Streamlit

github.com/example/churn

Trained a gradient-boosted classifier on 50,000 subscription records, surfacing at-risk accounts 30 days ahead.

Education

B.Tech, Computer Science — National Institute of Technology2021

GPA: 8.6/10

Relevant coursework: Machine Learning, Statistics, Database Systems

Certifications

Google Advanced Data Analytics — GoogleMar 2023

dbt Analytics Engineering — dbt LabsAug 2022

Talks & Writing

Spoke on retail demand forecasting at PyData Bengaluru, 2024.

Software Engineer

ATS-safe

Impact-first bullets with a compact skills block. Assumes the reader is scanning for systems you have actually shipped.

Backend · Frontend · Full-stack

Priya Menon

priya.menon@example.com+91 98765 43210Bengaluru, Indialinkedin.com/in/examplegithub.com/example

Professional Summary

Data scientist with 4 years of experience building forecasting and churn models in retail. Owns work end to end, from warehouse SQL through model deployment to the dashboards category managers use daily.

Work Experience

Data Scientist — Northwind RetailApr 2023 – Present

Bengaluru

Built a demand forecasting model across 1200 SKUs, reducing stockouts by 18% in the first two quarters.
Replaced a manual weekly reporting process with an Airflow pipeline, cutting turnaround from 2 days to 3 hours.
Partnered with four category managers to turn model output into pricing decisions they could act on directly.

Data Analyst — Zentra AnalyticsJul 2021 – Mar 2023

Remote

Developed SQL models feeding 12 recurring business reports used across three departments.
Led the migration of legacy Excel reporting into Power BI, training 20 colleagues on the new dashboards.

Projects

Churn Early-Warning ModelPython, scikit-learn, Streamlit

github.com/example/churn

Trained a gradient-boosted classifier on 50,000 subscription records, surfacing at-risk accounts 30 days ahead.

Skills

Languages & Core Tech: Python, SQL, R

Frameworks & Libraries: pandas, scikit-learn, PyTorch, Prophet

Tools & Platforms: Airflow, Power BI, dbt, Snowflake, Git, Docker

Soft Skills: Stakeholder communication, Mentoring

Education

B.Tech, Computer Science — National Institute of Technology2021

GPA: 8.6/10

Relevant coursework: Machine Learning, Statistics, Database Systems

Certifications

Google Advanced Data Analytics — GoogleMar 2023

dbt Analytics Engineering — dbt LabsAug 2022

Talks & Writing

Spoke on retail demand forecasting at PyData Bengaluru, 2024.

Senior and leadership

Executive

ATS-safe

Larger name, tighter body, leadership and scope up front. Built for a résumé that must land in ten seconds.

Director and above · Leadership roles · Board applications

Priya Menon

priya.menon@example.com+91 98765 43210Bengaluru, Indialinkedin.com/in/examplegithub.com/example

Professional Summary

Data scientist with 4 years of experience building forecasting and churn models in retail. Owns work end to end, from warehouse SQL through model deployment to the dashboards category managers use daily.

Work Experience

Data Scientist — Northwind RetailApr 2023 – Present

Bengaluru

Built a demand forecasting model across 1200 SKUs, reducing stockouts by 18% in the first two quarters.
Replaced a manual weekly reporting process with an Airflow pipeline, cutting turnaround from 2 days to 3 hours.
Partnered with four category managers to turn model output into pricing decisions they could act on directly.

Data Analyst — Zentra AnalyticsJul 2021 – Mar 2023

Remote

Developed SQL models feeding 12 recurring business reports used across three departments.
Led the migration of legacy Excel reporting into Power BI, training 20 colleagues on the new dashboards.

Skills

Languages & Core Tech: Python, SQL, R

Frameworks & Libraries: pandas, scikit-learn, PyTorch, Prophet

Tools & Platforms: Airflow, Power BI, dbt, Snowflake, Git, Docker

Soft Skills: Stakeholder communication, Mentoring

Education

B.Tech, Computer Science — National Institute of Technology2021

GPA: 8.6/10

Relevant coursework: Machine Learning, Statistics, Database Systems

Certifications

Google Advanced Data Analytics — GoogleMar 2023

dbt Analytics Engineering — dbt LabsAug 2022

Projects

Churn Early-Warning ModelPython, scikit-learn, Streamlit

github.com/example/churn

Trained a gradient-boosted classifier on 50,000 subscription records, surfacing at-risk accounts 30 days ahead.

Talks & Writing

Spoke on retail demand forecasting at PyData Bengaluru, 2024.

Experienced

ATS-safe

Depth over breadth: long experience section, condensed education, no filler.

5+ years · Specialist roles · Senior IC

Priya Menon

priya.menon@example.com+91 98765 43210Bengaluru, Indialinkedin.com/in/examplegithub.com/example

Professional Summary

Data scientist with 4 years of experience building forecasting and churn models in retail. Owns work end to end, from warehouse SQL through model deployment to the dashboards category managers use daily.

Work Experience

Data Scientist — Northwind RetailApr 2023 – Present

Bengaluru

Built a demand forecasting model across 1200 SKUs, reducing stockouts by 18% in the first two quarters.
Replaced a manual weekly reporting process with an Airflow pipeline, cutting turnaround from 2 days to 3 hours.
Partnered with four category managers to turn model output into pricing decisions they could act on directly.

Data Analyst — Zentra AnalyticsJul 2021 – Mar 2023

Remote

Developed SQL models feeding 12 recurring business reports used across three departments.
Led the migration of legacy Excel reporting into Power BI, training 20 colleagues on the new dashboards.

Skills

Languages & Core Tech: Python, SQL, R

Frameworks & Libraries: pandas, scikit-learn, PyTorch, Prophet

Tools & Platforms: Airflow, Power BI, dbt, Snowflake, Git, Docker

Soft Skills: Stakeholder communication, Mentoring

Projects

Churn Early-Warning ModelPython, scikit-learn, Streamlit

github.com/example/churn

Trained a gradient-boosted classifier on 50,000 subscription records, surfacing at-risk accounts 30 days ahead.

Education

B.Tech, Computer Science — National Institute of Technology2021

GPA: 8.6/10

Relevant coursework: Machine Learning, Statistics, Database Systems

Certifications

Google Advanced Data Analytics — GoogleMar 2023

dbt Analytics Engineering — dbt LabsAug 2022

Talks & Writing

Spoke on retail demand forecasting at PyData Bengaluru, 2024.

Early career

Fresher

ATS-safe

Education and projects lead, experience follows. Fills a page honestly when the job history is short.

Final-year students · First job · Career starters

Priya Menon

priya.menon@example.com+91 98765 43210Bengaluru, Indialinkedin.com/in/examplegithub.com/example

Professional Summary

Data scientist with 4 years of experience building forecasting and churn models in retail. Owns work end to end, from warehouse SQL through model deployment to the dashboards category managers use daily.

Education

B.Tech, Computer Science — National Institute of Technology2021

GPA: 8.6/10

Relevant coursework: Machine Learning, Statistics, Database Systems

Skills

Languages & Core Tech: Python, SQL, R

Frameworks & Libraries: pandas, scikit-learn, PyTorch, Prophet

Tools & Platforms: Airflow, Power BI, dbt, Snowflake, Git, Docker

Soft Skills: Stakeholder communication, Mentoring

Projects

Churn Early-Warning ModelPython, scikit-learn, Streamlit

github.com/example/churn

Trained a gradient-boosted classifier on 50,000 subscription records, surfacing at-risk accounts 30 days ahead.

Work Experience

Data Scientist — Northwind RetailApr 2023 – Present

Bengaluru

Built a demand forecasting model across 1200 SKUs, reducing stockouts by 18% in the first two quarters.
Replaced a manual weekly reporting process with an Airflow pipeline, cutting turnaround from 2 days to 3 hours.
Partnered with four category managers to turn model output into pricing decisions they could act on directly.

Data Analyst — Zentra AnalyticsJul 2021 – Mar 2023

Remote

Developed SQL models feeding 12 recurring business reports used across three departments.
Led the migration of legacy Excel reporting into Power BI, training 20 colleagues on the new dashboards.

Certifications

Google Advanced Data Analytics — GoogleMar 2023

dbt Analytics Engineering — dbt LabsAug 2022

Talks & Writing

Spoke on retail demand forecasting at PyData Bengaluru, 2024.

Traditional

Classic

ATS-safe

Serif type and centred header. The format most recruiters have read a thousand times, which is exactly its strength.

Traditional industries · Finance · Government

Priya Menon

priya.menon@example.com+91 98765 43210Bengaluru, Indialinkedin.com/in/examplegithub.com/example

Professional Summary

Data scientist with 4 years of experience building forecasting and churn models in retail. Owns work end to end, from warehouse SQL through model deployment to the dashboards category managers use daily.

Work Experience

Data Scientist — Northwind RetailApr 2023 – Present

Bengaluru

Built a demand forecasting model across 1200 SKUs, reducing stockouts by 18% in the first two quarters.
Replaced a manual weekly reporting process with an Airflow pipeline, cutting turnaround from 2 days to 3 hours.
Partnered with four category managers to turn model output into pricing decisions they could act on directly.

Data Analyst — Zentra AnalyticsJul 2021 – Mar 2023

Remote

Developed SQL models feeding 12 recurring business reports used across three departments.
Led the migration of legacy Excel reporting into Power BI, training 20 colleagues on the new dashboards.

Education

B.Tech, Computer Science — National Institute of Technology2021

GPA: 8.6/10

Relevant coursework: Machine Learning, Statistics, Database Systems

Skills

Languages & Core Tech: Python, SQL, R

Frameworks & Libraries: pandas, scikit-learn, PyTorch, Prophet

Tools & Platforms: Airflow, Power BI, dbt, Snowflake, Git, Docker

Soft Skills: Stakeholder communication, Mentoring

Projects

Churn Early-Warning ModelPython, scikit-learn, Streamlit

github.com/example/churn

Trained a gradient-boosted classifier on 50,000 subscription records, surfacing at-risk accounts 30 days ahead.

Certifications

Google Advanced Data Analytics — GoogleMar 2023

dbt Analytics Engineering — dbt LabsAug 2022

Talks & Writing

Spoke on retail demand forecasting at PyData Bengaluru, 2024.

Consulting

ATS-safe

Structured, metric-heavy, education prominent. Matches what consulting firms screen for.

Management consulting · Strategy · MBA applications

Priya Menon

priya.menon@example.com+91 98765 43210Bengaluru, Indialinkedin.com/in/examplegithub.com/example

Professional Summary

Data scientist with 4 years of experience building forecasting and churn models in retail. Owns work end to end, from warehouse SQL through model deployment to the dashboards category managers use daily.

Education

B.Tech, Computer Science — National Institute of Technology2021

GPA: 8.6/10

Relevant coursework: Machine Learning, Statistics, Database Systems

Work Experience

Data Scientist — Northwind RetailApr 2023 – Present

Bengaluru

Built a demand forecasting model across 1200 SKUs, reducing stockouts by 18% in the first two quarters.
Replaced a manual weekly reporting process with an Airflow pipeline, cutting turnaround from 2 days to 3 hours.
Partnered with four category managers to turn model output into pricing decisions they could act on directly.

Data Analyst — Zentra AnalyticsJul 2021 – Mar 2023

Remote

Developed SQL models feeding 12 recurring business reports used across three departments.
Led the migration of legacy Excel reporting into Power BI, training 20 colleagues on the new dashboards.

Skills

Languages & Core Tech: Python, SQL, R

Frameworks & Libraries: pandas, scikit-learn, PyTorch, Prophet

Tools & Platforms: Airflow, Power BI, dbt, Snowflake, Git, Docker

Soft Skills: Stakeholder communication, Mentoring

Certifications

Google Advanced Data Analytics — GoogleMar 2023

dbt Analytics Engineering — dbt LabsAug 2022

Projects

Churn Early-Warning ModelPython, scikit-learn, Streamlit

github.com/example/churn

Trained a gradient-boosted classifier on 50,000 subscription records, surfacing at-risk accounts 30 days ahead.

Talks & Writing

Spoke on retail demand forecasting at PyData Bengaluru, 2024.

Fixed length

One-Page

ATS-safe

Tight margins and compressed spacing, capped at a single page. The quality check warns you when content will not fit.

Early career · Referrals · Career fairs

Priya Menon

priya.menon@example.com+91 98765 43210Bengaluru, Indialinkedin.com/in/examplegithub.com/example

Professional Summary

Data scientist with 4 years of experience building forecasting and churn models in retail. Owns work end to end, from warehouse SQL through model deployment to the dashboards category managers use daily.

Work Experience

Data Scientist — Northwind RetailApr 2023 – Present

Bengaluru

Built a demand forecasting model across 1200 SKUs, reducing stockouts by 18% in the first two quarters.
Replaced a manual weekly reporting process with an Airflow pipeline, cutting turnaround from 2 days to 3 hours.
Partnered with four category managers to turn model output into pricing decisions they could act on directly.

Data Analyst — Zentra AnalyticsJul 2021 – Mar 2023

Remote

Developed SQL models feeding 12 recurring business reports used across three departments.
Led the migration of legacy Excel reporting into Power BI, training 20 colleagues on the new dashboards.

Education

B.Tech, Computer Science — National Institute of Technology2021

GPA: 8.6/10

Relevant coursework: Machine Learning, Statistics, Database Systems

Skills

Languages & Core Tech: Python, SQL, R

Frameworks & Libraries: pandas, scikit-learn, PyTorch, Prophet

Tools & Platforms: Airflow, Power BI, dbt, Snowflake, Git, Docker

Soft Skills: Stakeholder communication, Mentoring

Projects

Churn Early-Warning ModelPython, scikit-learn, Streamlit

github.com/example/churn

Trained a gradient-boosted classifier on 50,000 subscription records, surfacing at-risk accounts 30 days ahead.

Certifications

Google Advanced Data Analytics — GoogleMar 2023

dbt Analytics Engineering — dbt LabsAug 2022

Talks & Writing

Spoke on retail demand forecasting at PyData Bengaluru, 2024.

Two-Page

ATS-safe

Comfortable spacing across two pages, with section breaks placed so no entry splits across the page boundary.

10+ years · Multiple specialisations · Detailed project history

Priya Menon

priya.menon@example.com+91 98765 43210Bengaluru, Indialinkedin.com/in/examplegithub.com/example

Professional Summary

Data scientist with 4 years of experience building forecasting and churn models in retail. Owns work end to end, from warehouse SQL through model deployment to the dashboards category managers use daily.

Work Experience

Data Scientist — Northwind RetailApr 2023 – Present

Bengaluru

Built a demand forecasting model across 1200 SKUs, reducing stockouts by 18% in the first two quarters.
Replaced a manual weekly reporting process with an Airflow pipeline, cutting turnaround from 2 days to 3 hours.
Partnered with four category managers to turn model output into pricing decisions they could act on directly.

Data Analyst — Zentra AnalyticsJul 2021 – Mar 2023

Remote

Developed SQL models feeding 12 recurring business reports used across three departments.
Led the migration of legacy Excel reporting into Power BI, training 20 colleagues on the new dashboards.

Education

B.Tech, Computer Science — National Institute of Technology2021

GPA: 8.6/10

Relevant coursework: Machine Learning, Statistics, Database Systems

Skills

Languages & Core Tech: Python, SQL, R

Frameworks & Libraries: pandas, scikit-learn, PyTorch, Prophet

Tools & Platforms: Airflow, Power BI, dbt, Snowflake, Git, Docker

Soft Skills: Stakeholder communication, Mentoring

Projects

Churn Early-Warning ModelPython, scikit-learn, Streamlit

github.com/example/churn

Trained a gradient-boosted classifier on 50,000 subscription records, surfacing at-risk accounts 30 days ahead.

Certifications

Google Advanced Data Analytics — GoogleMar 2023

dbt Analytics Engineering — dbt LabsAug 2022

Talks & Writing

Spoke on retail demand forecasting at PyData Bengaluru, 2024.

Academic

ATS-safe

Publications, research and teaching before industry work, with no page limit. A CV rather than a resume.

PhD applications · Research roles · Faculty positions

Priya Menon

priya.menon@example.com+91 98765 43210Bengaluru, Indialinkedin.com/in/examplegithub.com/example

Professional Summary

Data scientist with 4 years of experience building forecasting and churn models in retail. Owns work end to end, from warehouse SQL through model deployment to the dashboards category managers use daily.

Education

B.Tech, Computer Science — National Institute of Technology2021

GPA: 8.6/10

Relevant coursework: Machine Learning, Statistics, Database Systems

Talks & Writing

Spoke on retail demand forecasting at PyData Bengaluru, 2024.

Work Experience

Data Scientist — Northwind RetailApr 2023 – Present

Bengaluru

Built a demand forecasting model across 1200 SKUs, reducing stockouts by 18% in the first two quarters.
Replaced a manual weekly reporting process with an Airflow pipeline, cutting turnaround from 2 days to 3 hours.
Partnered with four category managers to turn model output into pricing decisions they could act on directly.

Data Analyst — Zentra AnalyticsJul 2021 – Mar 2023

Remote

Developed SQL models feeding 12 recurring business reports used across three departments.
Led the migration of legacy Excel reporting into Power BI, training 20 colleagues on the new dashboards.

Projects

Churn Early-Warning ModelPython, scikit-learn, Streamlit

github.com/example/churn

Trained a gradient-boosted classifier on 50,000 subscription records, surfacing at-risk accounts 30 days ahead.

Skills

Languages & Core Tech: Python, SQL, R

Frameworks & Libraries: pandas, scikit-learn, PyTorch, Prophet

Tools & Platforms: Airflow, Power BI, dbt, Snowflake, Git, Docker

Soft Skills: Stakeholder communication, Mentoring

Certifications

Google Advanced Data Analytics — GoogleMar 2023

dbt Analytics Engineering — dbt LabsAug 2022

Design-forward

Creative

Send directly, not through a form

Two columns with a coloured sidebar. Strong for a portfolio review or a direct send; convert to a recruiter version before an online form.

Design · Marketing · Direct applications

Priya Menon

priya.menon@example.com+91 98765 43210Bengaluru, Indialinkedin.com/in/examplegithub.com/example

Skills

Languages & Core Tech

Python, SQL, R

Frameworks & Libraries

pandas, scikit-learn, PyTorch, Prophet

Tools & Platforms

Airflow, Power BI, dbt, Snowflake, Git, Docker

Soft Skills

Stakeholder communication, Mentoring

Certifications

Google Advanced Data Analytics — GoogleMar 2023

dbt Analytics Engineering — dbt LabsAug 2022

Professional Summary

Data scientist with 4 years of experience building forecasting and churn models in retail. Owns work end to end, from warehouse SQL through model deployment to the dashboards category managers use daily.

Work Experience

Data Scientist — Northwind RetailApr 2023 – Present

Bengaluru

Built a demand forecasting model across 1200 SKUs, reducing stockouts by 18% in the first two quarters.
Replaced a manual weekly reporting process with an Airflow pipeline, cutting turnaround from 2 days to 3 hours.
Partnered with four category managers to turn model output into pricing decisions they could act on directly.

Data Analyst — Zentra AnalyticsJul 2021 – Mar 2023

Remote

Developed SQL models feeding 12 recurring business reports used across three departments.
Led the migration of legacy Excel reporting into Power BI, training 20 colleagues on the new dashboards.

Education

B.Tech, Computer Science — National Institute of Technology2021

GPA: 8.6/10

Relevant coursework: Machine Learning, Statistics, Database Systems

Projects

Churn Early-Warning ModelPython, scikit-learn, Streamlit

github.com/example/churn

Trained a gradient-boosted classifier on 50,000 subscription records, surfacing at-risk accounts 30 days ahead.

Talks & Writing

Spoke on retail demand forecasting at PyData Bengaluru, 2024.