Machine Learning Data Science

JASWANTH KUMAR SANGEPAVU

Massachusetts, *****

+1-774-***-****, ***************@*****.***, inkedin.com/in/jaswanth-kumar-sangepavu, github.com/jaswanthraj2000 Certifications

Python Programming Certificate

C Programming

Snowflake Data Warehousing

Automating Web Application Testing (AS1)

SKILLS

Programming Languages : Python, Java, SQL,

Machine Learning Techniques : Linear Regression, Logistic Regression, Decision Tree, KNN, K-Means, DBSCAN, CART

AI Techniques & Deep Learning

Techniques

: Generative AI, LLM Prompt Engineering, RAG, CNN, RNN Frameworks & Tools : Langchain, TensorFlow, Pytorch, Pyspark, Apache Spark, Apache Airflow, Postman, Tableau, Openai API

Cloud : AWS (S3, CloudFormation, Redshift, Glue, Lambda, SageMaker, CloudWatch, EC2, QuickSight), but-cloud

Tools & Platforms : Figma, JIRA, Agile, Scrum, Jupyter, Visual Studio Code,, Unix/Linux,, JUnit5, PROFESSIONAL EXPERIENCE

Data Science Intern - Oasis Infobyte April 15, 2025 -May 25.2025

• Built a classification model on the Iris dataset using Python and Scikit-learn, achieving high accuracy through KNN, SVM, and cross- validation.

• Analysed unemployment trends in India using Pandas and Seaborn, uncovering regional disparities during COVID-19.

• Predicted car prices using regression models with feature engineering and correlation analysis.

• Tools & Technologies: Python, Pandas, NumPy, Scikit-learn, Seaborn, Matplotlib, Jupyter Notebook Software Engineering Intern - Zebo. AI-Hyderabad, India April 1, 2023 – May 30, 2023

• Cleaned and transformed large-scale datasets to ensure high-quality input for machine learning models and analytics workflows.

• Engineered features and trained both supervised and unsupervised models, improving predictive accuracy; automated pipelines to reduce manual effort and enhance efficiency.

• Created insightful data visualisations using Pandas, matplotlib, and Seaborn, effectively communicating trends and model behaviour to stakeholders.

ACADEMIC PROJECTS

Developed a Real-Time Multiplayer Game Platform(Applegamecenter) April 2025

• Built a full-stack web application featuring Tic-Tac-Toe, Checkers, and Chess using Java and Spring Boot

• Enabled real-time multiplayer gameplay using WebSockets, with secure authentication via JWT and Spring Security

• Implemented auto-save functionality with Mysql and Spring Data JPA, enhancing game continuity and overall user experience.

Developed Autonomous AI Assistant with Auto GPT December 2024

• Collaboratively built an AI-powered assistant using Auto GPT to autonomously generate content, conduct research, and automate daily workflows

• Designed and implemented custom algorithms enabling the assistant to respond to emails and schedule tasks in Google Calendar based on context.

• Improved productivity by reducing manual effort through real-time API integrations and adaptive task management. Built Advanced Minimax AI for Stonehenge Game August 2024

• Engineered a turn-based command-line Stonehenge game in Python with a scalable board and intelligent gameplay mechanics.

• Developed a Minimax-based AI with alpha-beta pruning to enable strategic decision-making up to depth 4.

• Designed and implemented core components, including StonehengeGame, Minimaxai, HumanPlayer, and GameController to support dynamic game flow and robust AI-human interaction. EDUCATIONAL QUALIFICATIONS

• University of Massachusetts Dartmouth GPA- 3.52 Aug2023-May2025

• Master of Science – Data Science

• Malla Reddy Institute of Engineering and Technology June 2019-Aug2023 Bachelor of Technology – Computer Science and Engineering

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