I’m a technologist and data science leader passionate about using technology to solve meaningful, human-centered problems. My journey started with plotting my first dataset in R, and since then, I’ve been on a mission to transform raw data into actionable impact. My work bridges data science, behavioral insights, and AI to create tools that don’t just function — they make a difference.
- Current Role
- Principal Data Scientist – AI & Scalable Data Engineering, KurationAI (Hong Kong SAR — Remote)
- Former Roles:
- Head of Data & Analytics, Luminous Power Technologies (India)
- Data Analytics & Automation Associate, Lynk (India)
- Head of Data & Analytics, Brainsfeed Ltd. (Hong Kong SAR — Remote)
- Data Scientist, RightCust Technologies (Bengaluru, India)
- Developer Evangelist, DevMetric Students' Club – Alliance University (Bengaluru, India)
- Data Visualization Developer, Datavis Tech, INC (San Francisco Bay Area — Remote)
- Early Work: Data visualization in Silicon Valley and tech community building during university.
- Human-centric AI: Technology should empower people — not replace them.
- Transparency & Trust: I believe in demystifying data with open research and intuitive design.
- Team Leadership: Building and mentoring high-performing, diverse teams is core to how I work.
- Innovative Infosphere: A market insights search engine built using NLP, Airtable, and Bubble.io.
- Toxic Comment Classifier: A Python tool to detect online toxicity and promote healthier digital spaces.
➡️ Explore code and demos in my pinned repositories.
| Tools & Languages | Description |
|---|---|
| Python, R, SQL | Core programming languages |
| scikit-learn, FastAPI, LangChain | ML development, deployment & automation |
| Azure, GCP, Docker | Cloud and containerization |
| PostgreSQL, MongoDB | Data engineering and storage |
| Airtable, Make.com, Zapier | No-code automation and MVP tools |
| Jupyter, RStudio, Power BI | Data storytelling and visualization |
- Awards: Winner, Philips Digital Healthcare Conclave (Team Achievement); multiple Best Speaker accolades.
- Research: Published work achieving 86% accuracy analyzing mental health data using BERT.
- Certifications: Microsoft Big Data, Scalable ML (UC Berkeley), plus several innovation programs.
- Languages: Fluent in English, Hindi, Bengali; conversational in Nepali and Urdu.
I’m always open to discussing data product design, ethical AI, mental health in tech, or just swapping notes on building meaningful technology. Let’s connect.