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Data with 1+ years in Data Modeling & ETL.
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Data Analyst with 1+ year of experience designing end-to-end analytics systems from data modeling and ETL pipelines to Power BI dashboards and automated reporting. Skilled at translating complex datasets into actionable business insights across sales, marketing, product, and operations. Experienced with Python, SQL, MongoDB, Power BI, and API-driven data pipelines in production environments.
MIT World Peace University, Pune
MSc · Data Science & Big Data Analytics
January 1, 2023 – January 1, 2025
Indira College of Commerce and Science, Pune
BSc · Computer Science
January 1, 2020 – January 1, 2023
FirebirdVR (GuruVR Ecosystem)
Data Analyst
February 1, 2025 – Present
Pune, Maharashtra, India
AI-Powered Insight Engine - Natural Language Analytics Platform (Live Demo)
January 1, 2026 – January 1, 2026
Built an end-to-end analytics platform enabling non-technical users to query structured datasets using natural language — eliminating dependency on manual SQL querying. Developed LLM-based query planning engine to decompose user queries into filter, group-by, aggregation, and sorting operations with dynamic Pandas code generation. Built automated schema inference to classify fields into metrics, dimensions, and time attributes; added intelligent chart selection and AI-generated insight summaries. Full-stack architecture: FastAPI backend, React frontend, MongoDB-backed RAG for conversational query memory.
Review Intelligence Engine - Competitive Intelligence Platform
January 1, 2026 – January 1, 2026
Built a full-stack application converting Amazon product URLs into structured competitive intelligence for sellers and buying recommendations for customers. Engineered a multi-strategy scraping pipeline (SerpAPI + BeautifulSoup) for large-scale review extraction and deduplication. Designed a two-flow LLM pipeline (Groq) for seller analysis (pros/cons, competitive comparison, risk flags) and customer best-pick recommendations with real-time SSE streaming. Deployed on Render & Vercel; added PDF export (dark/light mode) and Vercel Analytics.
DA Pricing Advisor & Market Research Profiler - Data Pipeline
January 1, 2025 – January 1, 2025
Built a scalable pipeline to scrape real-time competitor pricing across multiple regions using SerpAPI, httpx, and BeautifulSoup with regex-based price extraction. Designed a PPP-based pricing normalization engine using World Bank APIs; developed clustering pipelines (TF-IDF, KMeans, DBSCAN) for market segmentation. Built interactive Streamlit dashboards for pricing strategy comparison and competitive intelligence analysis.
PwC Switzerland Power BI Job Simulation
January 1, 2024 – January 1, 2024
Completed three real-world client simulation tasks: Call Centre Trends, Customer Retention (Churn Analysis), and Diversity & Inclusion reporting. Built interactive Power BI dashboards defining KPIs for call volume, agent performance, churn risk, and workforce diversity metrics using DAX measures and dynamic filters. Delivered actionable business insights and written recommendations to simulated stakeholders based on dashboard findings.
Advanced Spotify Analytics Dashboard
January 1, 2024 – January 1, 2024
Developed a multi-page interactive Power BI dashboard providing deep-dive analytics into artist popularity, song duration, and month-wise listening trends. Conducted ETL processes using Power Query to clean and normalize raw music streaming data; implemented a Star-Schema data model to optimize query performance and enable multi-dimensional analysis. Created complex DAX measures to calculate performance metrics including Average Popularity and Distinct Artist Reach.
View ProjectRetail Data Analytics: Online Book Shop
January 1, 2024 – January 1, 2024
Executed comprehensive SQL-based analysis on large-scale datasets to optimize inventory management and sales forecasting. Utilized advanced Window Functions, Joins, and Subqueries to isolate top-performing products and customer purchase frequency. Derived actionable insights on seasonal sales trends, directly informing merchandising and procurement strategies.
Machine Learning & MLOps
Udemy
June 1, 2026 – Present
Python, Power BI, NLP, R
MIT-WPU
June 1, 2026 – Present
MATLAB Onramp
MathWorks
June 1, 2026 – Present
Unity Junior Programmer
Unity
June 1, 2026 – Present
Power BI Job Simulation
PwC Switzerland (Forage)
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including personal and professional projects, showcases a broad interest in data science, analytics, and AI. The engagement in a PwC job simulation and various certifications indicates a commitment to continuous learning and professional development. The experience in building full-stack applications and integrating various technologies suggests a collaborative mindset and adaptability, which are positive indicators for cultural fit in dynamic team environments. The focus on delivering business value through data aligns well with results-oriented cultures.
Soft Skills & Operational Fit
The candidate's project descriptions and professional experience indicate a proactive approach to problem-solving and a strong focus on delivering actionable business insights. The development of automated alerting systems and LLM-driven solutions suggests an innovative mindset and an ability to work independently on complex tasks. The variety of projects, from analytics dashboards to full-stack AI applications, demonstrates versatility and a strong operational fit for roles requiring end-to-end data solution development.