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Harsh Chauhan

Harsh Chauhan

Data Analyst

Greater Noida 85 · Excellent

About

B. Tech Artificial Intelligence graduate with hands-on expertise in Python, SQL, Pandas, and Power BI. Experienced in end-to-end data analytics workflows including data cleaning, Exploratory Data Analysis (EDA), predictive modeling, and KPI dashboard reporting. Delivered actionable business insights through two independent analytics projects spanning retail customer behavior and real estate market trends. Certified in Data Science with Python by E&ICT Academy, IIT Kanpur. Seeking a Junior Data Analyst role to contribute data-driven decision-making to business teams.

Skills & Expertise (25)

Data Wrangling Advanced
8.0/10
3
Years Exp
Data Cleaning Advanced
8.0/10
3
Years Exp
Excel Advanced
8.0/10
5
Years Exp
Python Advanced
7.5/10
4
Years Exp
Pandas Advanced
7.5/10
4
Years Exp
Jupyter Notebook Advanced
7.5/10
4
Years Exp
SQL Advanced
7.0/10
4
Years Exp
VS Code Advanced
7.0/10
4
Years Exp
NumPy Advanced
7.0/10
4
Years Exp
Matplotlib Intermediate
6.5/10
3
Years Exp
Power BI Intermediate
6.5/10
2
Years Exp
KPI Reporting Intermediate
6.5/10
2
Years Exp
scikit-learn Intermediate
6.5/10
3
Years Exp
Predictive Modeling Intermediate
6.5/10
3
Years Exp
Dashboard Design Intermediate
6.0/10
3
Years Exp
GitHub Intermediate
6.0/10
3
Years Exp
Git Intermediate
6.0/10
3
Years Exp
PyCharm Intermediate
6.0/10
3
Years Exp
MySQL WorkBench Intermediate
6.0/10
3
Years Exp
Tableau Intermediate
6.0/10
2
Years Exp
Seaborn Intermediate
6.0/10
3
Years Exp
ETL Basics Intermediate
5.5/10
3
Years Exp
EDA Google Sheets Statistics

Work Experience

Data Analyst

Retail & E-Commerce Domain

Present - Present

Analyzed 80,000+ customer transaction records using Python and SQL to uncover purchasing trends, seasonal sales patterns, and product preferences. Performed comprehensive data cleaning and EDA using Pandas and NumPy, processing 15+ features to eliminate noise and handle missing values. Applied customer segmentation techniques to identify high-value and repeat customers, enabling targeted marketing strategies.

Data Analyst

Real Estate & Housing Market Domain

Present - Present

Analyzed post-COVID real estate pricing trends across 5,000+ property records using Python, conducting time-based trend analysis on housing market data (2019–2023). Identified price variation by property type, season, and year — highlighted 18–25% increased demand for larger residential units post-pandemic. Built a classification model using Scikit-learn to categorize price movement patterns, achieving predictive insights for market stakeholders. Created 10+ visual analytics charts using Matplotlib and Seaborn to support data-driven presentations and findings.

Education

B. Tech in Artificial Intelligence - GNIOT

2022 - 2026 · Afghanistan

CBSE Class 12th - SRV Global Academy

- 2022 · Afghanistan

CBSE Class 10th - SRV Global Academy

- 2020 · Afghanistan

Certifications

Data Science with Python

E&ICT Academy, IIT Kanpur · 2025

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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 sinceJun 2026