Sai Sriram Uppada

WORK HISTORY

EDUCATION

ABOUT SAI SRIRAM UPPADA

Hello, I’m Sai Sriram Uppada - a Data Analytics Engineering graduate, aspiring Data Analyst/Engineer, and AI enthusiast focused on turning complex data into clear, scalable, and intelligent solutions. I recently completed my Master’s in Data Analytics Engineering at George Mason University (GPA 3.85/4.0), where I worked on data‑driven and LLM‑powered systems, including an Intelligent Resume Job Matcher for FCEDA that uses Large Language Models to improve resume–job matching accuracy. Through academic projects, internships, and research‑oriented work, I’ve gained hands‑on experience across the data lifecycle: • Built end‑to‑end ML and analytics pipelines in Python for forecasting, risk analysis, and crash‑severity prediction using Random Forest, XGBoost, Logistic Regression, and SMOTE. • Developed an LLM‑based resume and job‑posting classification system using SOC‑2018 codes, integrating multiple LLM APIs (GPT‑4o, GPT‑4o‑mini, Claude, Cohere, Mistral) and achieving high accuracy on Top‑10 job recommendations. • Designed and evaluated data engineering workflows on AWS (S3, Glue, EMR, Aurora, Redshift) and worked with ETL tools such as Python, PySpark, and SnapLogic to support reporting and analytics. 🧠 My technical skillset includes Python, R, SQL, PySpark, Scikit‑learn, TensorFlow, Keras, AWS (S3, Glue, EMR, Aurora, Redshift), MongoDB, and Streamlit, with experience in data preprocessing, feature engineering, model evaluation, and visualization across structured and unstructured data. My current goal is to grow as a Data Engineer / Data Analyst, contribute to AI‑driven, cloud‑native products, and work on problems like job matching, forecasting, risk modeling, and intelligent analytics that create real value for users and organizations. You can reach me at: s••••••••@gmail.com