Passionate about leveraging data and AI to drive business transformation.
As a results-driven Data Analyst, Business Analyst, and Generative AI Engineer, I am passionate about leveraging data-driven insights and cutting-edge technologies to drive business transformation. With a Master's degree in Business Analytics and 3+ years of experience, I have honed my skills in areas such as data analytics, business intelligence, machine learning, and software development. My vision is to create innovative solutions that enhance operational efficiency, support strategic decision-making, and deliver measurable business impact.
Master's Degree in Business Analytics
3+ Years of Experience in Data and Analytics
Python
R
SQL
Machine Learning
Generative AI
Business Analysis
Requirements Gathering
Reporting & Insights
Data-Driven Decision Making
Process Mapping
Power BI
MS Excel
SPSS
Visual Studio
Git
National Informatics Center
Apr 2025 - Present
National Informatics Center
Jan 2023 - Jun 2023
PrepTouch
Jan 2022 - Mar 2022
Analyzed data from 1,000 influencers using linear regression and hypothesis testing, identifying follower count as a key driver explaining 90% of engagement variability. Delivered actionable insights to optimize influencer ROI, highlighting high-performing music and lifestyle segments.
Conducted EDA on 900+ COVID-19 vaccination records, identifying a 90% weekday increase to support improved scheduling. Built a predictive linear regression model with 85% accuracy, supporting demand forecasting and resource allocation.
Processed 500,000+ records using Power Query and star schema modeling. Developed 20+ DAX measures and an interactive Power BI dashboard, reducing reporting time by 40% and achieving 95% KPI accuracy.