** Data Analyst | Python · SQL · Power BI · Machine Learning · AWS** MS Industrial Technology (Data Analytics & AI) @ California State University, Fresno (GPA 3.71 · NRTW Scholar) 4+ years of experience across data analytics, ML modeling, and applied LLM/RAG research 📍 Fresno, CA, USA | 📧 ramubattu@mail.fresnostate.edu
** Data Analyst (Contract) · Bank of America** (Jan 2026 – Present) — Charlotte, NC Designing financial reporting dashboards (Power BI, Tableau, SQL), building SQL data models across Snowflake and SQL Server, and standardizing reconciliation workflows for banking operations and audit teams.
- Supply Chain Optimization — demand forecasting + Power BI dashboards @ CSU Fresno
- E-Commerce Intelligence Platform — AWS S3, Athena, ML, Flask REST API
- Applied AI & ML Research — NLP, LLMs, RAG, Deep Learning (presented @ CCVRS 2026)
Student Researcher · California State University, Fresno
- Presented 3 sessions at the California Central Valley Research Symposium (CCVRS 2026):
- Applied AI & ML Research: LLM Fine-Tuning, RAG & NLP — benchmarked 6 ML models, ACTD outperformed iterative RAG across 4 LLM architectures
- Tokenization, Vector Embedding & Vector Database (co-author: N.P. Mahalik, CSU Fresno)
- ML Algorithms in Data Analysis (Decision Trees, Regression, Clustering)
- 📖 CRC Press (Accepted, In Press 2026): "Smart Building Technologies for Energy-Efficient Urban Ecosystems" — ORCID: 0009-0005-2744-1804
- 📖 CRC Press (In Progress): Microgrid Systems · Editor: Dr. Jose Anand
** Data Analyst (Contract) · Bank of America** — Charlotte, NC (Jan 2026 – Present) ** Data Analyst · Cognizant** — Hyderabad, India (Jan 2023 – Dec 2024) ** Data Analyst · Gautam Joshi & Co. LLP** — Hyderabad, India (Apr 2021 – Dec 2022)
(Began analytics work during undergrad while coursework moved online; roles ran concurrently with degree completion.)
Languages & Tools
Python SQL Power BI (DAX) Tableau Excel AWS (S3, Athena, Glue, EC2) Flask Git
Machine Learning
Scikit-learn PyTorch TensorFlow Gradient Boosting Random Forest Decision Trees SVM K-Means Regression
NLP & LLM
BERT Word2Vec GloVe Transformers RAG Pipelines LLM Fine-Tuning (ACTD) FAISS HNSW Prompt Engineering
Data Engineering
ETL Pipelines AWS Glue AWS Athena Redshift Boto3 Pandas NumPy Oracle NoSQL PostgreSQL SQLite
Statistics
A/B Testing Hypothesis Testing SPC (3-Sigma) Confidence Intervals EDA
| Project | Stack | Highlights |
|---|---|---|
| Supply Chain Optimization | Python · SQL · Power BI · Tableau | Demand forecasting, inventory KPIs, time-series · MS Capstone |
| E-Commerce AWS Intelligence | Python · AWS · SQL · Flask | ETL → S3, 12 Athena queries, Gradient Boosting R²=0.89, +15% CVR A/B test |
| Applied AI & ML Research | Python · BERT · RAG · FAISS | CCVRS 2026, ACTD fine-tuning, GloVe benchmarks, LSTM perplexity=30 |
| Manufacturing SPC Pipeline | Python · SQL · Redshift · Oracle | 3-sigma control charts, 270 anomalies (141 critical) flagged in real time |
| A/B Testing — SQL & Python | SQL · Python · SciPy | 16 SQL queries, z-test, +15% CVR lift confirmed, p<0.05 |
| Financial ETL Pipeline | Python · SQL · SQLite | $250M+ records, anomaly detection, P&L rollup, data lineage |
| HR Analytics Dashboard | Power BI · DAX | 1,470 employees, 16% attrition analysis, DAX measures |
MS Industrial Technology (Data Analytics & AI) · CSU Fresno · GPA 3.71 · NRTW Scholar · Expected Dec 2026 BE Engineering · Matrusri Engineering College, Osmania University · 2024
Certifications: Google Data Analytics · Data Analysis with Python · SQL Fundamentals · MS Office Specialist: Power BI · MS Office Specialist: Excel
