Data Science Machine Learning

Chaitanya Modupalli

+ Inkster # **********************@*****.*** +1-313-***-**** ð chaitanya modupalli Education

University of Michigan Dearborn

MS in Data Science, GPA 3.8/4.0

Aug 2023 - Apr 2025

Coursework: Artificial Intelligence, Intelligent Systems, Data Mining, Big Data and Visualization, Applied Regression Analysis, Deep Learning, ERP systems, Database Systems. Dayanandasagar college of Engineering

B.E Electronics and Communication Engineering, GPA 3.4/4.0 Aug 2018 – Apr 2022

Skills

Programming: Python, SQL,

ML & Deep Learning: scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, CNNs, Transformers, BERT NLP & Chatbots: Hugging Face, Sentence-Transformers, Tokenization, Lemmatization, RAG, Vector DBs Data Engineering: Pandas, NumPy, Feature Engineering, Data Cleaning, SQL Joins, EDA Visualization: Power BI, Tableau, Seaborn, Matplotlib, Plotly Tools & Platforms: Jupyter, VS Code, Azure ML, Git, FastAPI, Docker (basic), REST APIs Experience

Graduate Teaching Assistant

University of Michigan

Dearborn, USA

Aug 2024 – Apr 2025

Led the creation and evaluation of assessments for 100+ students across AI and data science.

Automated digital attendance using Python, improving accuracy and reducing workload by 30%. Data Analyst

LeadSquared

Banglore, India

Apr 2022 – Mar 2023

Automated 10+ KPI dashboards in Power BI, reducing reporting time by 40% across 5+ business units.

Collaborated with engineers to optimize SQL queries and pipelines, reducing report generation time by 40%.

Analyzed 1M+ log records to extract behavioral trends, improving marketing campaign efficiency. Machine Learning Intern

Konigtronics Private Limited

Banglore, India

Dec 2021 – Mar 2022

Constructed regression models to forecast automobile sales with 92% predictive accuracy.

Designed and deployed interactive dashboards that transformed product strategy sessions.

Architected a predictive analytics pipeline uncovering in cost savings, boosting decision-making by 30%. Publications

Performance Evaluation of SRAM Cell using FinFET

Dr. Dinesha P., K. Subba Reddy, Chaitanya Modupalli, S. Sri Harsha Phani, M. Sai Vishal Reddy Published in IEEE Transactions on Applied Superconductivity, Sep 2022 DOI: 10.1109/TASC.2023.3340648

Academic Projects

Project 1: ML-Powered Network Anomaly Detection

Built an adaptive intrusion detection system with real-time performance and minimal false positives.

Implemented state-of-the-art ML algorithms to achieve high detection accuracy and real-time performance.

Pioneered adaptive threat detection mechanisms that reduced emerging attack risks by 40%. Project 2: Hugging Face-Powered RAG Chatbot with Advanced Semantic Search

Built a RAG chatbot using Hugging Face and cosine similarity-driven vector retrieval.

Optimized semantic search using sentence-transformers and cosine similarity for high-accuracy responses.

Engineered prompts and fallback mechanisms to enforce LLM responses from retrieved data. Project 3: Sentiment Analysis of Twitter Data Using Machine Learning

Created an NLP pipeline that classified 1.6M tweets using preprocessing, SVC, and logistic regression.

Conducted confusion matrix analysis to reduce false positives and improve sentiment classification reliability.

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