10
Work Completed
10
Work Completed
5+
Years of Experience
30
Total Projects
Motivated and highly analytical Data Analyst with extensive experience leveraging Generative AI (LLMs), advanced analytics, and BI tools to extract actionable insights, automate complex workflows, and accelerate data-driven decision-making.
Skilled in Tableau, Power BI, Matplotlib, and Excel for creating interactive dashboards and visualizations that enhance business comprehension and strategic outcomes.
Expert in SQL, dynamic queries, complex joins, stored procedures, views, and triggers, with proven ability to automate recurring reports using Python and AI-driven tools, increasing reporting efficiency by up to 30%.
Proficient in predictive modeling, A/B testing, multivariate analysis, and machine learning using Python (Pandas, NumPy, Scikit-learn) to uncover patterns, correlations, and trends across large-scale datasets.
Adept at creating advanced calculations, parameters, LOD expressions, and dynamic sets in Tableau, translating complex data into actionable insights for cross-functional teams and executive stakeholders.
Programming Languages: Python, R, SQL, SAS, HTML, CSS
Business Intelligence & Data Visualisation Tools: Tableau, Power BI, ThoughtSpot, Looker Studio, Crystal Reports, SAP Business Objects
Databases and Data Warehousing: Microsoft SQL Server (SSRS, SSAS, SQL Server Management Studio), Microsoft Access, Oracle SQL, DB2, PostgreSQL, Google BigQuery, Teradata, MongoDB (NoSQL Database), Presto
Big Data and Machine Learning: Spark, NumPy, Pandas, Scikit-learn, Matplotlib. Leveraging LLMs/Generative AI for data insight extraction and code generation.
Data Science | Data Analysis: A/B testing, Regression, Random Forest, SVM, Clustering, ETL, Data Science Pipeline, Time Series, Experimental design, Hypothesis testing, Statistics, Tableau, ThoughtSpot, Excel, Power BI, Splunk, Data discovery, Google BigQuery, SparkSQL, OpenObserve, AI-Assisted Data Preparation.
Miscellaneous: Django, Rest API, PyCharm, Jupyter Notebook, Spyder, Git, QlikView, JIRA, Confluence, AWS, Tableau CRM, AWS SageMaker, GCP, Google Analytics, Adobe Analytics, Knime, Presto, HiveQL, Hue.
M.S. in Data Science
New Jersey Institute of Technology, Newark, NJ
B.E. in Computer Engineering
Savitribai Phule Pune University, Pune, India
Google Data Analytics Certification
ThoughtSpot Business User Certification
Data Analyst
2024 - Present
Walmart Inc. Hoboken NJ
LocalFinds & GoLocal — E2E Funnel & Basket Analytics
E-Commerce Analytics · SQL · BigQuery · Tableau · Generative AI
LocalFinds | GoLocal | SQL | BigQuery| Funnel Analysis | Tableau | Generative AI | Basket Analytics
Performed end-to-end funnel analysis for Walmart's LocalFinds and GoLocal teams — tracking the full customer journey from search, homepage, and carousel entry points through seller and product pages, cart, checkout, and final order placement. Built Tableau dashboards and drove strategic changes that improved product discovery, reduced drop-offs, and increased average order value.
Analyzed large-scale e-commerce data across Walmart's web and app platforms to uncover customer behavior trends, enhance user experience, and drive measurable improvements in conversion rates.
Engineered complex SQL queries in Google BigQuery to extract, transform, and analyze multi-source data from Walmart's web and app ecosystems — enabling high-accuracy performance analysis across funnel and basket metrics.
Leveraged generative AI to optimize SQL query performance in BigQuery — restructuring joins, aggregations, and query architecture to reduce execution time and lower data processing costs at scale.
Conducted end-to-end funnel analysis by campaign and channel — tracking the complete customer journey from initial traffic and entry points through seller pages, product pages, cart, and checkout to final order placement, identifying drop-offs at every stage.
Analyzed basket-building entry points — including seller carousels, item carousels, product pages, and seller pages — to evaluate customer discovery behavior and deliver insights that improved product engagement and conversion pathways.
Built and maintained bottom-of-funnel Tableau dashboards monitoring cart, checkout, and order completion metrics — enabling CX and operations teams to quickly detect drop-offs and resolve conversion issues in real time.
Designed and automated interactive Tableau dashboards and KPI reports for stakeholders and CX teams — delivering consistent, real-time visibility into funnel performance and operational metrics.
Identified elevated pickup cancellation rates driven by low-value product listings through in-depth dashboard analysis — recommended removal of underperforming items, directly contributing to an increase in average order value (AOV).
Automated recurring reports and data pipelines — eliminating manual effort, improving data accuracy, and enabling faster insights during live business issues and operational escalations.
Developed and maintained a Locker Code Performance Dashboard for the GoLocal team — exclusively tracking pickup code success rates, failures, and drop-offs across fulfillment locations to monitor last-mile delivery performance and flag operational issues.
Vision Center Campaign Performance Analytics
Marketing Analytics · Tableau · Dashboards · Stakeholder Reporting
Vision Center | Campaign Analytics | Tableau | Funnel Analysis | OKR Dashboards | KPI Monitoring
Analyzed end-to-end marketing campaign performance for Walmart's vision care product line — tracking the full customer journey from channel-level traffic through product pages, cart, and checkout to final conversion. Built Tableau dashboards and recurring reports to surface funnel drop-offs, revenue trends, and campaign KPIs, enabling data-driven decisions across sales, marketing, and procurement teams.
Analyzed 500K+ vision care product transactions to identify consumer preference trends and ad campaign effectiveness, driving 10% revenue growth
Built interactive Tableau dashboards to track campaign KPIs, OKRs, and real-time sales performance — improving decision-making efficiency by 20%
Performed E2E funnel analysis across top-of-funnel marketing channels, increasing order placement rates by 12%
Produced weekly stakeholder reports on product listings, pricing strategies, and campaign engagement, contributing to a 5% uplift in AOV
Monitored 15+ KPIs across marketing and operations, contributing to 8% improvement in customer retention
Validated vision product data accuracy on the website, reducing discrepancies by 30% and ensuring campaign assets were correctly published
Processed 2M+ rows of customer behavior data to surface insights that improved user experience and boosted conversion rates by 10%
Collaborated with procurement and supplier teams on cost center analysis, reducing inefficiencies by 15%
Data Analyst
2023 - 2024
Indeed Inc. Austin TX
Responsible for developing Tableau visualizations, dashboards, and workbooks using Tableau Desktop from multiple sources to focus on Customer Satisfaction root cause analysis by leveraging data to identify the patterns, trends, and insights that contribute to understanding the factors affecting customer satisfaction.
Gathering relevant data sources, survey data, and any other information using SQL Queries and Google Sheets. Using statistical methods to identify correlations and relationships between various variables and customer satisfaction.
Involved in creating dashboards and reports focusing on Primary KPIs in Tableau and maintaining server activities for maintaining and refreshing data sources on the Tableau server.
Perform analysis on CSAT according to Projects, Spending, and Vendor data from the cost centers.
I extensively work on advanced analysis actions, level of details, calculations, Parameters, URL, and forecasting.
Provided customers with a forecast and Accrual reports based on cost centers.
Update the Attrition/PTO rate for the forecast at the beginning of the month as per historical data and the percentage goal set for the next quarter.
Refresh the contractor-level details report every week. Perform Adaptive Upload Process, Perform Adaptive Upload QA, and Generate accounting accrual report.
Participated in meetings, reviews, and group discussions. Collaborate with team members and weekly communications with the manager regarding the status of all assigned tasks.
Collaborating with cross-functional teams to understand the broader business context and align analyses with organizational goals. Prepare and present reports related to different cost centers and suppliers’ performance to stakeholders, highlighting key insights, root causes, and recommended actions for improvement.
Data Analyst | Business Intelligence Developer
2022 - 2023
The Vanguard Group, Malvern PA
Developing Tableau visualizations, dashboards, and workbooks using Tableau Desktop from multiple sources to perform YTD, QTD, and MTD types of analysis and share them with business users.
Working on a daily production support task by gathering and updating the ITS daily trade revenue data used in daily trading revenue reports, dashboards, and metadata layers sourced from Excel, SQL Server, Hue, Redshift, and Athena.
Assisting with digital reporting tasks on Intelledox activity by providing required data using Tableau and SQL queries.
Responsible for gathering, analyzing, documenting business and functional requirements, and data specifications to generate the Reports. Actively involved in weekly A/B testing experiments and Other ongoing projects.
Assisting with the IOR Project with business requirements and replicating the report from Tableau to ThoughtSpot.
Involvement in creating dashboards and reports focusing on Primary KPIs in Tableau and maintaining server activities like maintaining and refreshing data sources on the Tableau server.
Responsible to work with AWS hive by developing SQL queries to generate the reports and make changes accordingly to meet the data requirements.
Work extensively with advanced analysis Actions, Calculations, Parameters, Background images, Maps, Aggregations, calculated Fields, table calculations, Totals, and percentages using Key Performance Indicators (KPI) and Measures.
Data Analyst
2021 - 2022
Horizon Media Inc., New York NY
Writing complex SQL queries to fetch the data from Oracle, MS SQL Server and created stored procedures, triggers, used joins, and views.
Effectively using data blending feature in Tableau to connect different databases like Oracle, and MS SQL Server.
Involved in creating dashboards and reports on Executive summary, Media performance, Brand Health, and Creatives using Tableau.
Involved in Tableau dashboard designing based on different kinds of visuals Ex. charts, tables, color combinations, etc. Created Customized and interactive dashboards using multiple data sources.
Worked extensively with advanced analysis Actions, Calculations, Parameters, Background images, Maps, and URLs.
Actively involved in testing new/upgraded features like new Visualizations, Forecasting, Data Blending, Parallelized Dashboard, Hyperlink Objects, Color-coded tabs, etc. in Tableau Desktop/Server.
Collaborating with senior management teams to prioritize business requirements and locate and define opportunities for process improvements.