Data Analyst | Data Engineer | M.Sc. Big Data Science.
Turning raw data into actionable insights.
I am a results-driven Data professional with a strong foundation in both Data Engineering and Analytics. With a Master's in Big Data Science and hands-on experience in building real-time pipelines and predictive models, I bridge the gap between complex data infrastructure and actionable business insights.
Focused on SQL, Excel, and Power BI.
Key Achievement: Drove 10% improvement in operational decision-making efficiency.
Focused on ML models using Scikit-learn and Python.
Key Achievement: Enhanced predictive accuracy by 20% for inventory forecasting.
Focused on AWS, Linux automation, and Docker.
Key Achievement: Reduced deployment times by 40% using CI/CD.
Engineered a real-time data pipeline for financial data ingestion using Kafka and Snowflake.
View Project →Advanced statistical analysis and hypothesis testing to optimize supply chain costs.
View Project →Comprehensive BI dashboards for actionable business insights.
View Project →Strategic analysis of telecom data using Power Query and Power BI to identify key growth areas.
View Project →Analyzed e-commerce inventory data to optimize stock levels and reduce holding costs.
View Project →In-depth analysis of customer shopping patterns to drive marketing strategies.
View Project →AI-driven solution focused on healthcare data analysis and predictive modeling.
View Project →Interact with this Power BI report directly below.
M.Sc. Big Data Science (Distinction)
2024 - 2025
B.Tech Electronics & Communication
2019 - 2023