Building intelligent systems from data to deployment โ through machine learning, exploratory analysis, and real-world projects that solve genuine problems.
ONLINE
I am an aspiring Data Scientist and Analyst with a deep-seated passion for converting raw, unstructured datasets into predictive intelligence. My journey is fueled by a curiosity for how machine learning and artificial intelligence can address challenging industry roadblocks.
With extensive involvement in open-source development programs, I enjoy writing clean, scalable Python scripts, collaborating across remote ecosystems, and learning next-generation mathematical modeling. I thrive on collaborative engineering and building data-driven products that deliver measurable, real-world value.
Guiding incoming contributors on structural engineering practices. Conducting pull request reviews, validating data-science scripts, and leading architectural layouts for analytic modules.
Maintained data visualization components in React/Python dashboards. Built dynamic graphing utilities and resolved complex Git merge conflicts on high-traffic open repositories.
Engineered backend analytics structures. Worked with database normalization models in Oracle SQL and MySQL, executing optimized querying schemas for rapid data aggregation.
Contributed to high-performance open-source libraries. Refactored structural computational algorithms in C++ and Python, increasing efficiency by processing batch matrices concurrently.
Collaborated on social welfare software initiatives. Engineered modular Python utilities, fixed bugs in public data processing pipelines, and practiced robust version control in a team of global developers.
Validated understanding of core artificial intelligence concepts, machine learning algorithms, deep learning neural networks, and Oracle's GenAI cloud capabilities.
View Scroll
Recognized for contribution milestones across several open source projects, highlighting mastery of Git pipelines and collaborative Python programming.
View Scroll
Awarded for active coding contributions in social impact repository environments, debugging analytics tools, and deploying clean code.
View Scroll
Completed challenging algorithm optimizations, refactoring complex structural software in a high-intensity collaborative coding environment.
View Scroll
Comprehensive training covering end-to-end data cleaning, SQL modeling, statistical hypothesis testing, machine learning pipelines, and dashboard deployments.
View ScrollSmart Restaurant Recommendation System for Bengaluru
BangaBites is a deployed content-based restaurant recommendation system focused on Bengaluru restaurants. It recommends restaurants similar to a user's selected restaurant using TF-IDF and Cosine Similarity, while also considering weighted rating, popularity, and budget compatibility.
A hands-on Instagram data analysis project that collects, cleans, and analyzes raw user data to extract insights on engagement trends and posting frequency.
Explores social links and shared interests to identify potential connections and page recommendations through network graph analysis.
Real-time house price prediction model using machine learning, regression models, feature selection, and validation algorithms for property valuation.
"Hrmm! Looking to trade data science ideas, discuss open-source roles, or build intelligent AI systems together?"