Payel Paul
Gurgaon
Summary
Detail-oriented Data Analyst with an MA in Economics and practical experience delivering end-to-end BI solutions using Power BI, SQL and Python. Skilled at building ETL pipelines, writing DAX & SQL (including window functions), performing data cleaning and feature engineering in pandas, and creating actionable dashboards and reports. Seeking an entry-level Data Analyst role to apply strong data modeling, visualization and analytical skills.
Overview
5
5
years of professional experience
1
1
Certification
Work History
Subject Matter Expert (Economics)
Chegg India Pvt. Ltd
01.2018 - 01.2023
- Authored clear, step-by-step solutions to complex economics problems for a high-volume student base, ensuring accuracy and pedagogical clarity.
- Standardized solution templates and quality checks to maintain content consistency across reviewers.
- Collaborated with cross-functional reviewers to validate content and ensure fast turnaround of answers.
- Remote
Education
Master of Arts - Economics
Indira Gandhi National Open University
12-2018
Bachelor of Arts - Economics
Tripura University
06-2015
Skills
- Power BI (Power Query M, DAX)
- SQL (MySQL, PostgreSQL)
- Python (pandas, numpy, scikit-learn)
- Jupyter Notebooks
- Tableau
- Advanced Excel (Pivot Tables, VLOOKUP)
- ETL
- Data Cleaning
- Data Modeling
- DAX measures
- SQL window functions
- Data Visualization
- Feature Engineering
- Logistic Regression
- Confusion Matrix
Certification
- Data Analyst Masters Program — Simplilearn, 2025
- Power BI / PL-300 — Simplilearn, 2025
- Python 101 for Data Science — IBM, 2025
- SQL for Data Analysis — Simplilearn, 2025
Timeline
Subject Matter Expert (Economics)
Chegg India Pvt. Ltd
01.2018 - 01.2023
Master of Arts - Economics
Indira Gandhi National Open University
Bachelor of Arts - Economics
Tripura University
PROJECTS (Course / Capstone)
Zomato Restaurant Analytics — Power BI | Aug 2025,
Tools: Power BI (Power Query, DAX),
> Consolidated multi-file restaurant datasets into a single Power BI data model using Power Query; cleaned and standardized fields to enable reliable joins and reporting., Implemented DAX measures for YoY growth, Average Order Value and repeat-customer rate; built drill-through dashboards for city/cuisine/restaurant-level analysis., Designed interactive visuals and filters for quick segmentation and trend discovery to support prioritization of top-performing restaurants.,
Healthcare Analytics — Python & Power BI (Capstone) | Sep 2025,
Tools: Python (pandas), Power BI,
> Cleaned and engineered features from raw clinical datasets using pandas; prepared train/test datasets and implemented logistic regression models., Evaluated model performance using confusion matrix and standard classification metrics; visualized outcomes in interactive Power BI dashboards.,
Air Cargo Analysis — SQL | Apr 2025,
Tools: SQL (MySQL/PostgreSQL),
> Performed SQL-based analysis to identify regular customers and busiest routes; prepared insights to inform capacity planning and route optimization., Produced ticket-sales and route utilization analyses to guide operational decisions.
ADDITIONAL INFORMATION
- Languages: English, Hindi, Bengali
- Availability: Immediate