Ph.D. in Operations Research
Virginia Tech
Aug 2026 – Present
GPA: 4.00/4.00
- Mathematical Optimization for ML, Optimization: Linear Programming, Bayesian Statistics
Hi, I'm Guhan Sivakumar
I'm currently a Ph.D. Operations Research candidate at Virginia Tech. I previously worked at AT&T as a Data Scientist on the financial data platform team.
My research interests are in stochastic approximation theory, optimization, non-stationary and continual reinforcement learning, and applications in finance and energy grids.
Education
B.S. Data Science & B.S. Economics
The University of Texas at Dallas
May 2025
GPA: 3.85/4.00
- Machine Learning, Probability, Statistical Learning, Real Analysis I-II, Mathematical Statistics
- PhD Econometrics I, PhD Macroeconomics Theory I, Game Theory, Forecasting, Monetary Economics
- Big Data, Deep Learning, Database Systems, Data Structures and Algorithms
Awards & Recognition
Rehmert-Nachlas Graduate Fellowship
2026 – Present
Dean's List (2x)
2024
Top 9, ASA DataFest
2024
2nd Place, Statefarm Coding Competition
2023
Academic Excellence Scholarship
2021 – 2025
Research Experience
Graduate Researcher
Virginia Tech
Stochastic Approximation and Reinforcement Learning Theory
Undergraduate Researcher
UT Dallas & Drexel University
Plasma Event Detection and Time Series Classification
Research Assistant
UT Dallas
Corporate Social Responsibility and Causal Analysis
Undergraduate Researcher
UT Dallas
CPI Inflation Forecasting with HMM-LSTM Fusion
Papers & Presentations
Sivakumar, G., et al. (2025). Fast-Ion Flow Event Detection in Earth's Magnetosphere. Poster Presentation - UTDiscovery Day.
Sivakumar, G. (2025). HMM-LSTM Fusion Model for CPI Inflation Forecasting. arXiv:2501.02002.
Work Experience
Data Scientist I
AT&T
Financial Data Platforms: Revenue Forecasting and Chatbots
Data Science Intern
GoFi - DriveTime
Pricing: Customer Segmentation
Data Science Intern
Samirian Chemicals
IT and Sales: Price Forecasting and ETL Pipelines
Teaching Experience
Graduate Teaching Assistant
Virginia Tech
Manufacturing and Engineering Lab
TDP Impact Lead
AT&T
Interviews, Workshops, and TDP Impact
Technical Skills
Methodologies & Domains
- Machine Learning
- Time Series
- Deep Learning
- Causal Inference
- NLP
- Data Pipeline
- Optimization
- Statistical Analysis
Languages & Libraries
- Python
- R
- Java
- SQL
- TensorFlow
- PyTorch
- Scikit-learn
- Darts
- EconML
Developer Tools
- Azure
- Docker
- Spark
- Kafka
- Snowflake
- MongoDB
- MySQL
- GitHub
- Linux