Summary
Work History
Education
Skills
Projects
COURSES
Timeline
Generic

RUSHABH PATWATKAR

Dombivli

Summary

B.Tech student specializing in Computer Science and Engineering with a specialization in Data Science at SRM University Kattankulathur. Aspiring to be a Data Analyst and ML developer with a specialization in Data Science. Passionate about solving real-world problems through innovative technology and committed to building solutions that create real impact.

Work History

Software Intern

L&T Precision Manufacturing and Systems
Powai
05.2025 - 06.2025

Software Intern, L&T precision Manufacturing and Systems: Built using Python and multiple NLP libraries for sentiment classification on customer feedback. Integrated TextBlob, AFINN, VADER, and NLTK for lexicon-based analysis, combined with a machine learning model for improved prediction accuracy. Skills: Python, NLP, TextBlob, AFINN, VADER, NLTK, scikit-learn, Sentiment Analysis, Machine Learning

Education

B.Tech - CSE (Data Science)

SRM Institute of Science and Technology
Chennai
05.2027

12th standard -

Royal College of Science and commerce
Dombivli
05.2023

10th standard -

B.K. Birla Public School Kalyan
Kalyan
04.2020

Skills

  • C
  • C
  • Python
  • HTML
  • CSS
  • SQL
  • Flask
  • Pandas
  • Numpy
  • Matplotlib
  • Machine Learning
  • scikit-Learn
  • Streamlit
  • Web development

Projects

🔹 Hand Gesture Recognition

Technologies: Python, OpenCV, MediaPipe, Random Forest, Machine Learning, Computer Vision

  • Built a real-time hand gesture recognition system using Python and OpenCV.
  • Integrated MediaPipe for accurate hand landmark detection and gesture tracking.
  • Trained a Random Forest classifier on custom gesture data for effective gesture-based control via webcam feed.

🔹 Sentiment Analysis on Service Feedback (L&T Precision Manufacturing and Systems)

Technologies: Python, NLP, TextBlob, AFINN, VADER, NLTK, scikit-learn

  • Developed a sentiment analysis tool for customer service feedback using multiple NLP libraries.
  • Combined lexicon-based methods (TextBlob, AFINN, VADER, NLTK) with a machine learning model for enhanced sentiment classification accuracy.

🔹 House Price Prediction using ML Models

  • Technologies: Python, scikit-learn, XGBoost, Random Forest, Pandas, Seaborn
  • Developed a regression model to predict house prices using data preprocessing, feature engineering, and one-hot encoding.
  • Trained and evaluated Random Forest and XGBoost models with cross-validation and visualized performance metrics.
  • Generated final predictions and exported results for submission.

COURSES

  • IBM RDBMS Coursera course: IBM
  • C programming: NIIT
  • Python: udemy
  • Figma workshop: Cherry network
  • Machine Learning: Udemy
  • Machine Learning with python: Coursera

Timeline

Software Intern

L&T Precision Manufacturing and Systems
05.2025 - 06.2025

B.Tech - CSE (Data Science)

SRM Institute of Science and Technology

12th standard -

Royal College of Science and commerce

10th standard -

B.K. Birla Public School Kalyan
RUSHABH PATWATKAR