Shrushti Agarwal
Data Analyst with 3 YOE in ecommerce and finance
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About
I’m a data-driven technologist passionate about turning raw information into actionable insights that drive measurable impact. I focus on applying analytics, engineering, and machine learning to bridge the gap between data and decision-making, empowering organizations to optimize outcomes, enhance experiences, and innovate with confidence. With a background in Computer Engineering and a Master’s in Computer Science from Northeastern University, I bring both the technical depth and strategic mindset to build scalable, outcome-driven data solutions.
🔷 Experience Highlight
-Improved data quality by streamlining ETL and analytics pipelines.
-Built real-time dashboards in Power BI and Tableau for business visibility.
-Developed a GenAI RAG-based Q&A system, saving 15+ hours/week in manual effort.
- Executed segmentation, A/B & hypothesis testing, predictive modeling and impact analysis to optimize outcomes.
🔷 Skills & Tech Stack
Languages/Tools: Python (pandas, numpy, matplotlib, seaborn, scikit-learn, scipy), SQL, R, Power BI, Tableau, Excel, PySpark, Databricks, Snowflake, dbt, Alteryx.
Cloud & DevOps: AWS, Azure, Docker, Git.
ML & Analytics: Classification, Clustering, Regression, EDA, A/B Testing, Time Series Forecasting.
Workflow: Agile, JIRA, ETL, Data Modeling, Data Warehousing, Dashboarding.
Experience
I’m a Data Analyst with over 3.5 years of experience in e-commerce and financial services, and I recently completed my Master’s in Computer Science from Northeastern University. At Wayfair, I support the marketing and logistics teams by building dashboards, developing SQL models, and designing transformations to make day-to-day operations more data-driven for stakeholders. Previously, at LTIMindtree, I worked with fraud operations and finance teams, focusing on exploratory analysis, ETL development, A/B testing, and financial forecasting to improve fraud monitoring and planning.
I work with SQL, Python, dbt, BI tools like Tableau and Power BI, Excel, and cloud platforms such as GCP and Azure. What I enjoy most is making data accessible and actionable, taking complex analysis and shaping it into insights that guide business decisions.
Education
I have a Masters in degree in Computer Science
