G R Uday Kumar Reddy

Email: udaybhaskar717@gmail.com

Phone: +91 7995338522

Links: LinkedIn | GitHub | LeetCode

🚀 Professional Summary

Data Scientist with 2.3+ years of experience specializing in ML model development, testing, and validation. Proven expertise in automated workflows, AI/ML system evaluation, and data quality assurance. Strong ability to optimize ML pipelines, reduce processing time, and enhance model performance.

🎓 Education

Master of Technology in Energy Systems Engineering

IIT Bombay, Mumbai (Jul 2021 – Jun 2023)

🛠️ Technical Skills

• Programming: Python 🐍 | SQL 🛢️
• Frameworks: TensorFlow 🔥 | PyTorch | Hugging Face 🤗
• Tools: Git 🛠️ | Docker 🐳 | Streamlit 🌐 | Flask 🏗️ | VS Code
• Libraries: pandas 📈 | NumPy 🔢 | Matplotlib 📊 | Scikit-learn 🤖 | OpenCV 👁️
• Cloud Platforms: AWS (Redshift, S3, SageMaker) ☁️
• Databases: MySQL 🏛️

💼 Professional Experience

Analyst | D.E. Shaw India Pvt Ltd | Hyderabad (Jul 2023 – Present)

• Built & optimized ML models (Gradient Boosting, Random Forest, DNNs) for irradiance prediction, achieving RMSE of 0.43 W/m² 📉
• Designed automated testing workflows with APIs & Python pipelines, cutting data processing time by 95% ⏳
• Developed intelligent document analysis with LLMs, reducing manual review time by 80% 📄 ➡️ 🤖
• Improved data imputation techniques (Linear Regression, KNN, MICE), boosting ML model accuracy by 20% 🎯

Research Assistant | IIT Bombay (Jul 2021 – Jun 2023)

• Developed SVM, LSTM, CNN-LSTM models for solar power forecasting, improving RMSE by 20% ☀️
• Built automated testing frameworks for model validation & deployment using Streamlit 🚀
• Enhanced time-series forecasting accuracy by 15% through transfer learning 📈

Systems Engineer | Infosys, Bangalore (Jan 2021 – Jul 2021)

• Developed backend systems with Python, Flask, and SQL, ensuring robust data pipelines 🏗️
• Implemented testing procedures for database operations, strengthening SQL expertise 🔍

📌 Featured Project

Enterprise Customer Churn Prediction System

• End-to-end ML pipeline for customer churn prediction achieving 83% ROC-AUC score 📊
• Implemented SMOTE for handling imbalanced data & deployed a production-ready API using Flask & Docker 🐳
• GitHub: Churn Prediction App

🏆 Achievements

• 99.30 percentile in GATE 2020 (Electrical Engineering) 🏅
• Ranked 3rd in AI Challenge: ML for Renewable Energy (Dphi) 🏅
• 1st Place in Circuitrix Competition (SVEC) 🏅

📜 Certifications

• AWS Certified Machine Learning Associate (In Progress) ✔️
• Machine Learning by Andrew Ng ✔️