Mohit Varma Sagi | "Data are just summaries of thousands of stories and I try to tell a few of them to make the data meaningful."

Mohit Varma Sagi

"Data are just summaries of thousands of stories and I try to tell a few of them to make the data meaningful."

Based in Atlanta, GA, USA

About

Hey Mohit here, I’m passionate about math & turning data into meaningful insights. With a strong foundation in Python, R, SQL, and visualization tools like Tableau and Power BI, I specialize in building Data & AI-driven solutions that improve operations and drive decision-making. I’ve had the opportunity to work with diverse teams across healthcare (Eyesouth Partners), finance (Truist), public sector operations (SERC), and industrial analytics (HPCL)- delivering insights that drive smarter decisions and measurable results. Whether I’m forecasting food donations using hybrid ML models, analyzing multi-source risk data, or building iOS apps that manage mental well-being with AI-driven scheduling, I thrive on making data meaningful.

Skills

Projects

Deep Learning & AI Projects

Developed a real-time face mask detection model using MobileNetV2 and a gender detection system with a custom CNN and OpenCV for webcam input. Also built EduMentor, an AI powered learning assistant that uses GPT-4,RAG, and real-time web data to deliver personalized quizzes, chat, and learning paths.

Machine Learning Projects

I performed end-to-end analysis and modeling across multiple datasets, including predicting heart attack risk, analyzing Melbourne housing prices, and customer clustering. I applied techniques such as exploratory data analysis (EDA), feature selection, and clustering algorithms to uncover patterns.

EDA Projects

I analyzed global salary trends in data science using EDA to uncover insights on experience, remote work, and compensation patterns. In another project, I built ML models to predict heart attack risk from patient health data, applying ML techniques to identify key risk factors.

Tableau Dashboards

Created Tableau dashboards for projects including a Netflix recommender system and dairy product sales analysis.

SpaceX Launch Records Dashboard

This project leverages Dash and Plotly to develop an interactive dashboard for analyzing SpaceX launch data.

Diabetes Classification Project

This project aims to classify whether an individual has diabetes using machine learning algorithms and a dataset of medical variables.

Covid 19 Data Exploration

In this project, leveraged SQL Server to investigate global COVID-19 data.

Enhancing Perishable Supply Chain Efficiency and Determining Suitable Inventory Policy

We developed a framework which aims to minimize the total cost between supplier and customer using a pilot perishable goods data, by optimizing shipment supply and defining pertinent minimum and maximum stock levels leveraging data analysis. The results demonstrate that VMI outperforms EOQ model.

Experience

May 2025 - Present

Revenue Cycle Analyst at EyeSouth Partners

Audited charge master claims using SQL to identify and correct billing code mismatches, recovering $700K+ in underbilled revenue across 50+ affiliates, ensuring proper payer reimbursement. Designed azure cloud infrastructure integrating SFTP, Power Query ETL, and SQL databases with incremental loading, accelerating query times from 8 minutes to 45 seconds and reducing data transfer volumes by 94%, streamlining enterprise data workflows. Built predictive Power BI dashboards tracking $10M+ revenue that identified $890K in unbilled encounters, reducing A/R from 38 to 28 days. Collaborated with Finance leadership presenting automation tools and revenue recovery insights to CRO, driving strategic decisions in revenue cycle operations, establishing enterprise data governance framework.

Jan 2025 – May 2025

Data Scientist at SERC

Applied deep learning ensembles (CNN&XGBoost) on 20K+ crop records to forecast yields more accurately, improving supply-chain planning efficiency and driving $100K in cost savings across 10 states. Fine-tuned ensemble hyperparameters through grid search and cross-validation, enhancing model robustness and predictive precision. Engineered SQL pipelines in Databricks to clean and unify 6 agricultural datasets, improving data quality for yield forecasting. Automated end-to-end model retraining and data workflows, reducing manual intervention by 80% and ensuring real-time forecast updates. Delivered Power BI dashboards for USDA stakeholders, visualizing KPIs and donation trends across 12 states to guide strategic decisions.

Aug 2024- Dec 2024

Data Analyst at Truist

At Truist, I had the unique opportunity to apply data science to climate and ESG reporting, a space where precision really matters. I benchmarked Truist’s TCFD/ESG metrics against 6 national banks, giving executives a clear view of where the company stood. To cut down on tedious work, conducted a/b testing and automated ESG text reviews with Python (NLTK), saving teams 50% of their data processing time, and built an OCR pipeline that freed up 30 hours/month. I wrapped it all together with Tableau dashboard, giving senior leadership a clear, real-time window into ESG and risk performance.

May 2023 - August 2023

Operations Analyst at HPCL

At HPCL, I worked at the intersection of industrial systems and data analytics, helping keep one of India’s largest refineries running smoothly. Using Grafana and time-series analysis, I uncovered inefficiency patterns across refinery systems, and by deploying a real-time anomaly detection pipeline with Kafka + AutoML, we reduced unplanned equipment downtime by 12%. I also optimized predictive maintenance pipelines in Databricks with Airflow, boosting asset reliability. To empower leadership with better visibility, I built a centralized Power BI dashboard with 15+ operational metrics, improving both reporting accuracy and decision-making speed.

Education

Nov 2020- May 2024

Production Engineering at National Institute Of Technology Calicut

My time at NIT Calicut was a total game-changer! I got hands-on with manufacturing & operations and fine-tuned my problem-solving and analytical skills. Coursework: Supply Chain Management, Economics, Transportation System and Network Design, Production Management, Automobile Engineering, Renewable Energy Systems, Machine Learning, Industrial Engineering

Aug 2024- Dec 2025

Masters: Data Science & Analytics at J Mack Robinson College Of Business

I’m currently pursuing my Master’s in Data Science & Analytics at Georgia State University with a GPA of 3.83. My coursework includes Machine Learning, Deep Learning, Generative AI, Statistics, Predictive Analytics, and Data Management. As a Research Assistant, I work on AI-driven projects involving forecasting, data integration, and dashboard development contributing to real-world solutions in supply chain optimization and public-sector analytics.