Raj Tripathi

Ghaziabad,Uttar Pradesh

Summary

Data Scientist specializing in Machine Learning, AI, and Big Data Technologies. Proficient in Python and SQL for analyzing extensive datasets and delivering actionable insights through stakeholder reports. Experienced in creating and implementing scalable machine learning models. Demonstrates strong problem-solving abilities and a commitment to innovation.

Overview

year of professional experience

Work History

Data Analytics Intern

Times Internet

10.2024 - 12.2024

Deployed machine learning model utilizing Python and TensorFlow, achieving 15% improvement in SEO Score prediction.
Implemented AI-driven algorithms for content ranking, increasing engagement and user retention by 45%.
Conducted statistical analysis and performed feature engineering on large datasets with scikit-learn and PyTorch.
Collaborated with cross-functional teams to launch ML models into production, enhancing scalability and automation.
Packaged model outputs into dashboards, presenting key performance metrics to senior leadership.

Web Development Intern

VST Growth Business

02.2024 - 04.2024

Boosted user experience and workflow efficiency by 36% through collaborative innovation.
Implemented five new features within tight deadlines to enhance functionality.
Restructured codebase, increasing team productivity by 30%.
Optimized code to reduce page load time by 40%.
Developed responsive UI components using React.js and Bootstrap.
Integrated REST APIs to ensure seamless data flow across platforms.

Education

Bachelor of Technology - Computer Science & Engineering

Dr. A.P.J. Abdul Kalam Technical University

Ghaziabad

09-2025

Skills

Python and C
JavaScript and Reactjs
SQL and MySQL
Data manipulation with Pandas and NumPy
Machine learning frameworks: TensorFlow, PyTorch, Keras
NLP and transformers
AWS cloud services
Supervised and unsupervised learning
Large-scale data wrangling
Model deployment strategies

Algorithm development
Data visualization and EDA
Windows and Linux OS proficiency
Streamlit applications
Prompt engineering and fine-tuning
RAG methodologies
Problem-solving skills
Analytical thinking abilities
Communication skills
Teamwork and leadership

Projects

Computer Vision Tool

Built an interactive CV application using Python, OpenCV, and Streamlit to simplify
Implemented color detection, morphological operations, and background subtraction for real-time visualization.
Developed mini-projects like a Document Scanner and integrated YOLOv8 for object detection, segmentation, tracking,
and posture detection with 92% accuracy.
Tech Stack: Python, OpenCV, Streamlit, YOLOv8

Movie Recommendation System

Developed a movie recommendation system using TMDB 5000 dataset, enhancing content discovery by 30% through
text vectorization and cosine similarity.
Implemented content-based filtering, analyzing 5000+ movies for personalized recommendations with 85% accuracy.
Tech Stack: Python, Pandas, NumPy, Scikit-learn, NLTK, Streamlit

Timeline