Pawan Jogi

Aspiring Data Analyst / Data Scientist

Indore, Madhya Pradesh 0+ yrs exp 80 · Excellent

About

Data Science undergraduate with hands-on internship experience delivering Python/SQL-driven analytics and Power BI dashboards. Proven ability to clean, explore, and model real-world datasets, and to ship full-stack ML products end-to-end (React + FastAPI). Seeking a Data Analyst / Data Science role to turn business data into measurable decisions.

Skills & Expertise (24)

SQL Intermediate

5.5/10

0.25

Years Exp

Pandas Intermediate

5.5/10

0.25

Years Exp

Data Cleaning Intermediate

5.5/10

0.25

Years Exp

Jupyter Notebook Intermediate

5.5/10

0.25

Years Exp

MySql Intermediate

5.5/10

0.25

Years Exp

Python Intermediate

5.5/10

0.25

Years Exp

Power BI Intermediate

5.5/10

0.25

Years Exp

Excel Intermediate

5.0/10

0.25

Years Exp

VS Code Intermediate

5.0/10

0.25

Years Exp

Google Sheets Intermediate

5.0/10

0.25

Years Exp

GitHub Intermediate

5.0/10

0.25

Years Exp

Git Intermediate

5.0/10

0.25

Years Exp

NumPy Intermediate

5.0/10

0.25

Years Exp

Model Evaluation Intermediate

4.5/10

0.25

Years Exp

Matplotlib Intermediate

4.5/10

0.25

Years Exp

Seaborn Intermediate

4.5/10

0.25

Years Exp

Classification Intermediate

4.5/10

0.25

Years Exp

MongoDb Intermediate

4.5/10

0.25

Years Exp

Regression Intermediate

4.5/10

0.25

Years Exp

scikit-learn Intermediate

4.5/10

0.25

Years Exp

Feature Engineering Intermediate

4.5/10

0.25

Years Exp

React Beginner

3.5/10

0.25

Years Exp

FastAPI Beginner

2.5/10

0.25

Years Exp

EDA

Work Experience

Data Science & Analytics Intern

Zidio Development

Apr 2025 - Jun 2025

Analyzed multi-source datasets using Python, SQL, and Pandas, translating raw data into business-ready insights for stakeholders. Built interactive Power BI dashboards that surfaced key trends, improving visibility into performance metrics for the team. Performed end-to-end data cleaning, preprocessing, and exploratory data analysis (EDA) on real-world, messy datasets to ensure model-ready data quality.