Mohit Raj

Noida, Uttar Pradesh 0+ yrs exp 65 · Good

About

Recent B.Tech CSE graduate skilled in Data Analytics and Generative AI with hands-on experience in Python, SQL, Power BI, LangChain, Streamlit, FastAPI, and LLM-based application development. Passionate about building AI-driven and data-centric solutions to solve real-world business problems.

Skills & Expertise (24)

Generative AI Beginner

5.0/10

0.25

Years Exp

Large Language Models Beginner

5.0/10

0.25

Years Exp

Prompt Engineering Beginner

5.0/10

0.25

Years Exp

MS Excel Beginner

5.0/10

0.25

Years Exp

Power BI Beginner

4.5/10

0.25

Years Exp

Dashboard Development Beginner

4.5/10

0.25

Years Exp

Data Visualization Beginner

4.5/10

0.25

Years Exp

Python Beginner

4.5/10

0.25

Years Exp

Matplotlib Beginner

4.5/10

0.25

Years Exp

NumPy Beginner

4.5/10

0.25

Years Exp

Pandas Beginner

4.5/10

0.25

Years Exp

Postgresql Beginner

4.0/10

0.25

Years Exp

MySql Beginner

4.0/10

0.25

Years Exp

Power Query Beginner

4.0/10

0.25

Years Exp

Data Modeling Beginner

4.0/10

0.25

Years Exp

Data Transformation Beginner

4.0/10

0.25

Years Exp

DAX Beginner

4.0/10

0.25

Years Exp

KPI Reporting Beginner

4.0/10

0.25

Years Exp

GitHub Beginner

4.0/10

0.25

Years Exp

ETL Beginner

4.0/10

0.25

Years Exp

EDA Beginner

4.0/10

0.25

Years Exp

SQL Beginner

4.0/10

0.25

Years Exp

Statistical Analysis Beginner

4.0/10

0.25

Years Exp

LangChain Beginner

3.5/10

0.25

Years Exp

Work Experience

Business Intelligence Intern

Baazi Games

Apr 2025 - Jun 2025

Optimized the table chat feature by analyzing 30K+ typed messages vs. 30 default messages monthly, reducing 18 static configurations to 3 structured rules, enhancing UI and boosting potential engagement by 100×. Examined multi-phase campaign data to identify a 25% drop-off after failed FTD attempts and recommended better mission timing (3–4 minutes) and incentive segmentation to improve user retention. Strengthened VOC analytics workflow by integrating LLM-based automation models for sentiment tagging and summarization, reducing manual review effort by 70% and improving reporting reliability.