Data Science & ML
Predictive models, anomaly detection, and experiments that drive measurable business results.
About Me
I'm a data and software professional working across analytics, data engineering, and product-focused development. I enjoy turning complex data and business problems into clean, usable systems and dashboards.
I build solutions end-to-end: cleaning and modelling data, designing pipelines and APIs, and wrapping everything into tools that non-technical users can actually use.
What I'm Doing
Data Engineering
ETL, data modelling, and analytics-ready datasets using Python, SQL, and modern data tooling.
Android & Mobile Apps
Building cross-platform mobile apps with Flutter and native tooling for data-driven products.
Desktop & Windows Apps
High-performance desktop tools using .NET, WPF, WinUI, and Python for internal automation.
Web & Backend Development
APIs, services, and utilities that expose analytics and ML capabilities to products and teams.
Dashboards & BI
Interactive reporting in Power BI, Tableau, and Excel that supports daily decision-making.
Resume
Education
Jan 2025 – Present
MSc in Data Analytics
Dublin Business School · Dublin, Ireland
Jul 2023 – Aug 2024
Post Graduate Diploma in Data Science
IIIT Bangalore · Bangalore, India
2011 – 2015
B.Tech, Electrical & Electronics Engineering
Maharshi Dayanand University · Haryana, India
Experience
Feb 2022 – Dec 2024
Transformation Specialist
OYO Hotels and Homes · Gurugram, India
Nov 2021 – Feb 2022
Manager
Pristyn Care · Haryana, India
Feb 2020 – Oct 2021
Assistant Manager
Delhivery · Haryana, India
Jan 2019 – Jan 2020
Engineer
Takenaka Corporation · Neemrana, India
Jun 2015 – Jan 2019
Engineer
Precision Engineers · Haryana, India
Python90%
SQL90%
Machine Learning85%
Data Engineering & ETL85%
Data Analytics & BI85%
AWS & Cloud75%
Android & Flutter75%
.NET & Desktop Apps80%
Git & DevOps80%
Linux & Docker70%
Portfolio
Selected projects across desktop, mobile, web, and data platforms.
Contact
Based in Dublin and open to roles or collaborations across data, engineering, and product.