Data Scientist
Engineered for Impact.
I bridge the gap between complex data and actionable strategy. Specializing in MLOps, Big Data, and Predictive Analytics using Databricks, Spark, and Python.
Technical Expertise
My stack is built for scale. From data ingestion to model deployment, I leverage industry-standard tools to build robust data products.
Python
Pandas, Scikit-learn, NumPy
R Language
Statistical Analysis, Modeling
SQL
MySQL, Complex Queries
Databricks
Unified Data Analytics
Apache Spark
Big Data Processing
Apache Airflow
Workflow Orchestration
MLflow
Lifecycle Management
Visualization
Tableau, Power BI
Cloud Computing
Azure & AWS
Featured Projects
Sentiment Analysis WebApp
Robust text classifier model for review analysis using SVC and custom preprocessing pipelines.
Electronics Store Sales
Revenue growth analysis identifying peak sales hours and frequent itemsets.
COVID-19 Data Exploration
Comprehensive analysis of 2 years of pandemic data using complex SQL queries and Tableau.
Linear Regression Model
Foundational predictive modeling demo illustrating regression principles.
Bitcoin Price Analysis
Analyzing historical Bitcoin prices to identify trends and patterns.
Churn Prediction Model
A predictive model to identify customers likely to discontinue a service.
Recommendation System
A system that suggests products or content based on user preferences and behavior.
RFM
A customer segmentation technique based on Recency, Frequency, and Monetary value.
Ready to scale your data capabilities?
I am currently open to new opportunities in Data Engineering and Data Science.