Summary
Work History
Education
Skills
Websites
GitHub
Projects
Certification
Generic
Rishabh Pandey

Rishabh Pandey

Kalyan,MH

Summary

Final-year Electronics and Telecommunication Engineering student with a strong foundation in data analysis, and problemsolving. Skilled in Python, SQL, and Power BI, with hands-on experience analyzing real-world datasets and deploying ML applications using Flask and Render. Experienced in preparing computer vision datasets using LabelImg and contributing to model improvement workflows. Demonstrated ability to learn quickly, communicate effectively, and apply analytical thinking to support data-driven decision-making and product development.

Work History

Artificial Intelligence Intern

CMS INFO SYSTEMS LTD.
, Maharashtra
04.2025 - 09.2025
  • Annotated images using LabelImg to create accurate datasets for training and evaluating computer vision models.
  • Collaborated with the AI team to iteratively improve model performance through hands-on dataset preparation and real-world training workflows.
  • Conducted analysis on anomaly alerts using Python (Pandas) and Power BI, resulting in improved operational efficiency and alert fidelity.
  • Appointed as the team lead responsible for supervising fellow interns, ensuring completion of daily annotation targets, and maintaining high-quality dataset standards.
  • Supported testing and validation of AI models, ensuring accuracy of results before deployment.
  • Coordinated with mentors to refine coding skills and improve project contributions effectively.

Education

BE - Electronics and Telecommunication

Bharati Vidyapeeth College of Engineering
12.2026

Intermediate - undefined

R K Talreja College
12.2022

High school - undefined

Sai English high school

Skills

  • Python
  • SQL
  • Pandas
  • NumPy
  • Matplotlib
  • Seaborn
  • Scikit-learn
  • EDA
  • Feature Engineering
  • Model Training
  • Power BI
  • Excel
  • Git
  • GitHub
  • LabelImg
  • Render
  • Flask
  • Problem Solving
  • Critical Thinking
  • Fast Learner
  • Analytical Thinking

Websites

GitHub

https://github.com/rishabhpandey-2005

Projects

1.Google Play Store Dataset (Python, EDA): Performed EDA and feature engineering on Google Play Store data using Python. Cleaned data, analyzed trends in app installs, categories, and sizes using Pandas and visualization libraries.

2.Netflix Analytics Dashboard (Power BI): Developed an interactive Power BI dashboard to analyze Netflix content trends, genres, and country-wise availability by transforming raw data into actionable insights using data modeling, DAX, and dynamic visualizations.

3.Telecom Customer Churn Prediction (Machine Learning): Developed an end-to-end churn prediction model using

scikit-learn with complete data cleaning, feature engineering, and Random Forest training. Built and deployed a Flask

based web application on Render that allows users to input customer details and receive real-time churn predictions.

Certification

  • Advance Excel
  • Data Analytics & Visualization Virtual Internship - Accenture (Forage)
  • Data Analyst

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Rishabh Pandey