Headline

Business Analyst @ Bloom Energy | Python · SQL · Tableau · Power BI · Excel · Oracle · Salesforce

About

I'm an M.Tech Computer Science & Engineering Specialization in AI & ML ('26) student with a strong interest in leveraging data, analytics, and intelligent systems to support real‑world business decision‑making. I am particularly focused on data quality, interpretability, and actionable insights, rather than black‑box outcomes. Skilled in Python, SQL, Tableau, Excel, and cloud platforms, I enjoy working at the intersection of data, business, and technology to transform complex data into meaningful analysis. Currently preparing for fresher‑level roles in Business Analytics, Data Analytics, and AI‑driven decision support, where structured thinking and clear communication are essential. I enjoy connecting with professionals who are curious about data‑driven business, applied AI, analytics, and real‑world impact and I’m always open to learning through conversations and collaboration.

Location

Vellore

AI stack

claude

notion

openai

Work experience

Business Analyst at Bloom Energy, Aug 2025 - Jul 2026 · 1 yr, Mumbai, Maharashtra, India, ❖ Owned end-to-end weekly fleet performance reporting, delivering site-level analysis and TMO summaries to cross-functional stakeholders; automated data ingestion via Python + Amazon Redshift, cutting extraction time by 40%. ❖ Architected a multi-stage data pipeline (extraction, cleansing, transformation, validation) and enforced data quality frameworks, improving data accuracy by 35% and reducing discrepancies by 30%. ❖ Built an interactive Tableau dashboard with drill-down KPI views, boosting reporting efficiency by 50%, automated the full performance validation workflow, saving 2 hours/week and increasing team productivity by 25%.

Artificial Intelligence Machine Learning Intern at VIT-Technology Business Incubator (TBI), Dec 2024 - Feb 2025 · 3 mos, Vellore Tamilnadu India, ❖Joined a tech-driven healthcare startup as a intern, contributing to projects that enhanced treatment workflows for chronically ill patients. ❖ Designed and implemented supervised Machine Learning algorithms, taking responsibility for model accuracy benchmarking and iterative performance improvement for skin condition detection. ❖ Owned the medical image dataset pre-processing pipeline, ensuring data quality, consistency, and readiness for model training and validation. ❖ Applied and evaluated Deep Learning architectures for feature extraction and multi-class classification, independently assessing trade-offs between model complexity and diagnostic accuracy.

Education

Master of Technology - MTech, Artificial Intelligence machine learning, Vellore Institute of Technology

Bachelor of Engineering - BE, Computer Science, Kingston Engineering College