About
Highly innovative and results-driven Data Scientist and AI Technologist with proven experience in developing and deploying ML-powered systems, agentic AI solutions, and user-centric analytics dashboards. Expert in designing end-to-end data pipelines that translate complex data into actionable insights and intuitive user experiences. Possesses a strong foundational understanding in LLMs, behavioral analytics, forecasting, and MLOps, coupled with a builder mindset and a passion for ethical, impactful AI products.
Work
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Summary
Driving data-driven decision-making and product enhancement through advanced ML and analytics solutions for a portfolio of rental properties.
Highlights
Engineered an ML-powered pricing optimization system for over 10,000 rental properties sourced from aggregators, significantly enhancing pricing accuracy and driving revenue growth.
Designed and implemented behavioral analytics models to derive actionable insights into guest booking patterns, occupancy rates, and price elasticity, directly informing property owner strategies.
Developed comprehensive analytics dashboards to visualize and monitor critical KPIs including occupancy, price elasticity, booking trends, and seasonality, providing actionable insights for over 1,000 property owners and 100,000+ historical bookings.
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Summary
Leveraged advanced statistical methods and forecasting models to derive insights and improve operational efficiency for large-scale datasets.
Highlights
Conducted advanced statistical analysis (Kruskal-Wallis, regression modeling) on large-scale datasets (1.5M+ rows), extracting key insights to enhance operational efficiency.
Developed and optimized rules-based forecasting models across 15+ categories, leveraging Mean Absolute Error (MAE) for enhanced prediction accuracy.
Collaborated with 50+ stakeholders to design and implement tailored dashboards, resulting in a 15% reduction in cross-functional delivery bottlenecks across teams.
Awards
Best Paper Award for Computing category
Awarded By
IEEE, 3rd Conference in Innovations in Power and Advanced Computing Technologies
Awarded for the publication 'Cryptocurrency and Associated Bourse Analysis using ML and Knowledge Graphs'.
Publications
Languages
English
Fluent
Skills
Programming Languages & Tools
Python, R, SQL, Git, Jupyter, Streamlit, MongoDB, Neo4j, Docker.
Machine Learning & Modeling
Scikit-learn, Regression, Classification, Clustering, Time Series, A/B Testing, Pandas, Numpy, TensorFlow, Generative AI (LLMs, RAG, Agentic AI), Recommender Systems, Reinforcement Learning.
Data Science Concepts
Statistics, NLP, Behavioral Analytics, Forecasting.
Big Data Engineering & Cloud
Apache Spark (PySpark), MLflow, RESTful APIs, BigQuery, Azure Databricks, Snowflake, Airflow.
Data Visualization & Reporting
Power BI, Tableau, Looker Studio, Seaborn, Dendrograms, Efficient Frontier Plots.
MLOps
DVC, Prometheus, Grafana, CI/CD, GitHub Actions.