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Aditya Gautam

Aditya Gautam

Data Analyst / Business Analyst

85
Profile Score

About

High-achieving CS graduate (CGPA: 9.62) with proven ability to build end-to-end data pipelines, dimensional models, and interactive BI dashboards using SQL, Python, and Power BI. Delivered 4 analytics projects from raw data ingestion to actionable business insight. Seeking Data Analyst / Business Analyst roles.

Skills & Expertise (26)

Python Advanced
8.7/10
4
Years Exp
SQL Advanced
8.5/10
4
Years Exp
Power BI Advanced
8.2/10
3
Years Exp
Pandas Advanced
8.1/10
4
Years Exp
NumPy Advanced
7.9/10
4
Years Exp
Power BI Service Jupyter Notebook Git SQLite MySql Dashboards Power Query VLOOKUP PivotTables Advanced Excel Stored Procedures Star Schema Aggregations Subqueries Window Functions CTEs Joins DAX SQLAlchemy Seaborn Matplotlib

Work Experience

Data Analyst

E-Commerce Sales Performance Dashboard

Present - Present

Built end-to-end ETL pipeline on 100K+ orders across 9 tables using Python and SQLAlchemy, loading into MySQL for analysis. Implemented 3-layer medallion architecture (staging → silver → gold) with star schema across 8 dimension tables — reducing query complexity and enabling direct Power BI connection to clean gold layer data. Wrote 10+ advanced SQL queries (CTEs, window functions, JOINs) revealing top 3 categories drive 60%+ of revenue.

Data Analyst

HR Analytics — Employee Attrition Dashboard

Present - Present

Analyzed 1,470 records across 35 variables — found overtime employees leave at 3x the rate (30.5% vs 10.4%). Uncovered 18–25 age group has 34.8% attrition and Sales Reps earn ₹6,220 below dept average using CTEs and window functions. Delivered stakeholder dashboard with 3 KPI cards and 5 visuals — surfacing 3 critical HR findings including 34.8% attrition among youngest cohort and 3x overtime attrition risk for 237 at-risk employees.

Data Analyst

Interactive BI Dashboard — Spotify Global Charts

Present - Present

Analysed 50K+ streaming records, built multi-page dashboard with 15+ DAX measures deployed on Power BI Service. Dynamic slicers (year, artist, album type) — key finding: explicit tracks gain traction 2x faster, 25% accuracy boost.

Data Analyst

Uber Ride Analytics — EDA + SQLite Pipeline

Present - Present

Automated pipeline ingesting 500K+ ride records into SQLite with 30% data quality improvement via null handling and outlier removal. Identified top 10 pickup locations, peak demand hours, and high-surge weekdays from EDA using Matplotlib and Seaborn.

Education

B.E. in Computer Science Engineering - Chitkara University

2020 - 2024 · Afghanistan

Certifications

SQL Bootcamp

ITM Edutech Training Pvt. Ltd. in collaboration with National Skill Development Corporation (NSDC) · 2026

Excel Bootcamp

ITM Edutech Training Pvt. Ltd. in collaboration with NIESBUD · 2026

Introduction to Python

Coding Ninjas, Chitkara University · 2021

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Profile Score Breakdown

📷 Photo 10/10
📄 Resume 10/10
💼 Job Title 10/10
✍️ Bio 10/10
🛠️ Skills 20/20
🎓 Education 10/10
⏱️ Experience 5/15
💰 Rate 0/5
🏆 Certs 5/5
Verified 5/5
Total Score 85/100

Profile Overview

Member sinceMar 2026

Skills (26)

Python SQL Power BI Pandas NumPy Power BI Service Jupyter Notebook Git SQLite MySql +16 more