🎓 MS in Data Science — Montclair State University | 📍 United States
I build end-to-end machine learning systems, real-time data pipelines, and business intelligence solutions.
My work spans predictive modeling, streaming data engineering, LLM research, and production ML deployment.
💼 Actively seeking full-time roles in Data Science · Data Engineering · Data Analytics · AI/ML Engineer
- 🔭 Currently researching on low-resource NLP (Telugu BabyLM)
- 🌱 Deepening expertise in MLOps, RAG pipelines, and distributed data systems
- 🎯 I enjoy turning messy data into clear decisions — whether through a model, a dashboard, or a pipeline
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End-to-end churn prediction system with statistical validation, ML modeling, explainability, and production deployment.
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Production-grade e-commerce streaming pipeline ingesting, processing, and storing live events at scale.
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Segmented 9,943 SaaS customers into 4 actionable groups using RFM scoring and K-Means clustering.
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Large-scale evaluation of bias and fairness drift across LLM families (GPT, Claude, Gemini, LLaMA, Gemma)
- 50K+ model evaluation runs · 5+ LLM families benchmarked
- Distributed experimentation pipelines via SLURM
- Longitudinal statistical analysis for fairness benchmarking
Transformer model trained for Telugu under the BabyLM framework
- GPT-2 style model via HuggingFace Transformers on A100 GPUs
- Custom preprocessing pipelines for low-resource corpora
- Investigated challenges unique to morphologically rich, low-resource scripts
Open to full-time roles in Data Science · Data Engineering · Data Analytics — feel free to reach out!