Education · now
Rochester Institute of Technology
Master of Science in Data Science
Aug 2024 – Dec 2026 · Rochester, NY · GPA 3.96/4
Capstone
Security-Aware Speculative Decoding →Steering a frozen LLM away from insecure code while it generates, with no fine-tuning.
Coursework
Applied Data Science · Research and capstone
LLMs, PyTorch, Inference-time enhancements, Model architecture
Applied what I learnt in this course in Security-aware speculative decoding (capstone) →
Software Engineering for Data Science · Big data
PySpark, Apache Airflow, CI/CD pipelines, Kafka, Snowflake
Applied what I learnt in this course in NYC taxi lakehouse (batch + streaming) →
Foundations of Data Science · Machine learning
Python, NumPy, pandas, scikit-learn, Supervised learning, Unsupervised learning
Applied what I learnt in this course in Customer segmentation and retention →
Non-Relational Data Management · NoSQL
MongoDB, Neo4j, Cassandra, XML
Applied what I learnt in this course in Steam Explorer (geospatial search on MongoDB) →
Predictive Analytics · Supervised learning in R
R, Regression, Classification, Statistics for ML
Applied Statistics
Statistical analysis, Hypothesis testing, A/B testing
Applied what I learnt in this course in Customer segmentation and retention →
DBMS · SQL
SQL, DBMS architecture, Data modeling
Visual Analytics
Python, Power BI, Tableau, Excel, matplotlib, plotly