Pune, Maharashtra, India
I build data systems, analytical workflows, and backend-powered pipelines that turn messy, unstructured inputs into reliable business intelligence. My work sits at the intersection of data engineering, analytics, and business decision support.
- B.Tech in Computer Engineering (Expected 2028)
- CGPA: 8.68
- Diploma: 92.51% (Rank 3rd)
- Focus: Data pipelines, analytics engineering, relational modeling, automation, and insight generation
- Core value: convert messy inputs into clean, trustworthy, decision-ready output
I enjoy solving real-world data problems where reliability, structure, and clarity matter. From ETL flows and schema design to SQL-driven analysis and business reporting, I aim to build systems that turn data into actionable value.
Actively seeking a January 2027 internship opportunity in Pune, especially in:
- Hinjewadi
- Baner
- PCMC
- Remote
I’m open to hands-on analytics, data operations, SQL analysis, reporting, and BI-focused work.
| Project | Stack | What it does | Business / System Impact |
|---|---|---|---|
| Swasthya Setu | Python, Gemini 2.5 Flash API, Clinical document parsing, JSON validation | Built a multimodal clinical document ingestion engine that converts unstructured medical records into structured, query-ready clinical data. | Improved medical record processing reliability and reduced manual data extraction overhead. |
| Danny's Diner | PostgreSQL, CTEs, Window Functions, Relational analysis | Modeled customer cohort spending patterns using advanced SQL logic, including DENSE_RANK and ROW_NUMBER. | Improved understanding of customer behavior and retention patterns. |
| P2P Local Data Transfer Engine (FEP) | Android, Java, NanoHTTPD, HTTP Byte-Range requests | Designed a zero-dependency LAN file streaming engine that uses custom HTTP range requests for local transfer. | Enabled fast, direct file sharing without cloud dependency. |
| ProAzure Pvt. Ltd. (RPA Internship) | UiPath, ETL workflows, Excel normalization, E-commerce data extraction | Engineered unattended automation workflows for dynamic product data extraction and normalization. | Reduced manual effort and sped up operational reporting workflows. |
I enjoy data problems where structure, logic, and usability matter:
- turning raw records into clean data products
- translating business questions into SQL and analytics workflows
- designing systems that reduce manual overhead
- building reliable pipelines that support decisions
My goal is simple: build data experiences that are useful, scalable, and decision-ready.
Actively seeking a 4–6 week Data Analyst / Analytics Intern role in Pune or remote, starting January 2027.