I’m a GIS and location-data professional with 8+ years of experience, currently working at HERE Technologies. I turn location and business data into useful intelligence — from POI data quality and automated data pipelines to geospatial applications, machine-learning experiments, and business dashboards.
My work sits at the intersection of GIS, data engineering, automation, and analytics. I enjoy building practical workflows that collect, clean, connect, and explain data — especially when location is a key part of the problem.
- Geospatial & location intelligence: POI data, spatial workflows, mapping, routing, and location-based analysis.
- Python automation & data pipelines: browser automation, API integrations, data extraction, validation, deduplication, and structured exports.
- GeoAI & applied AI: conversational geospatial workflows, route-aware EV planning, and AI orchestration with deterministic spatial calculations.
- Business & machine-learning analytics: SQL analysis, Power BI reporting, customer segmentation, and text sentiment classification.
| Area | Tools and techniques |
|---|---|
| GIS & mapping | HERE location data, PostGIS, MapLibre GL, OpenStreetMap, Overpass, OSRM, Nominatim, FME |
| Data collection & automation | Python, pandas, NumPy, Requests, BeautifulSoup, Selenium, Playwright, REST APIs, OAuth, concurrent requests |
| AI & machine learning | FastAPI, Groq / GPT-OSS, scikit-learn, TensorFlow / Keras, NLTK, text preprocessing, K-Means clustering |
| Analytics & reporting | SQL, MySQL, Power BI, DAX, Power Query, Excel |
| Data platforms | PostgreSQL, AWS Athena / EMR, Trino / Starburst |
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A conversational mapping application for multi-stop trip planning, route-corridor points of interest, and route-aware EV charging decisions. Highlights: persistent trip context, battery what-if simulations, charger filtering, map visualization, and deterministic route / charging calculations. Stack: React, TypeScript, FastAPI, MapLibre GL, OSRM, OpenStreetMap / Overpass, Groq / GPT-OSS. |
A collection of scraper projects focused on discovering, standardizing, and consolidating fuel and CNG station records from multiple providers. Engineering themes: API integration, OAuth, browser automation, geographic grid search, pagination, deduplication, and CSV / Excel export. Projects: |
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Browser automation for extracting structured place information, categories, addresses, contact details, websites, and map coordinates into CSV output. Stack: Python, Selenium, pandas, Chrome WebDriver, regular expressions. |
Scrapers for hotel-search results and nightlife / restaurant listings, demonstrating browser-session handling, request reuse, pagination, structured extraction, and output preparation. Projects: Agoda Hotel Scraper · Zomato Nightlife Scraper |
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A Power BI analytics project spanning finance, sales, marketing, and supply-chain views, with data modeling, DAX measures, KPIs, bookmarks, and report navigation. Stack: Power BI, SQL, Excel, DAX, Power Query. |
Hands-on ML projects covering unsupervised customer segmentation and tweet sentiment classification with text preprocessing and traditional machine-learning approaches. Stack: Python, pandas, NumPy, scikit-learn, NLTK, CountVectorizer, Naive Bayes, K-Means. |
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Analytical SQL work using joins, CTEs, subqueries, window functions, and business metrics, paired with dashboard-oriented storytelling. |
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Discover → Extract → Validate → Standardize → Analyze → Communicate
I focus on the complete workflow, not just the script: understand the source, design repeatable collection, handle missing or duplicate records, preserve useful attributes, and make the results usable through maps, datasets, or dashboards.
✉️ Email · 📞 +91 7008766223 · 💬 WhatsApp · 🗂️ Codebasics Portfolio · 💻 GitHub Profile
Repository examples are shared for demonstration and learning. Scraper availability and coverage depend on source-site behavior, API access, and applicable permissions. Sample datasets marked synthetic are illustrative and should not be treated as real-world records.