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Sireesha NS

@sireeshans

Data Analyst at Flipkart analyzing customer and membership trends and developing a Google Gemini-powered analytics application.

India

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At Flipkart, I analyze product, operational, and business performance and support A/B testing by validating experiment data and interpreting results. I also analyze customer engagement, membership growth, and transaction trends for Flipkart Plus, Flipkart Black, and Flipkart Netflix initiatives.

I developed Python automation for recurring dashboards, data refreshes, and KPI alerts, and developed an internal analytics web application using Google Gemini to explore data and generate insights from Google Sheets.

At TCS, I developed KPI reports and Power BI dashboards, built star and snowflake data models, and implemented Row-Level Security. Earlier at Wipro, I analyzed sales and operational data and built dashboards for revenue, customer behavior, and regional performance.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst

Current

Flipkart

Aug 2024 - Present (2 years 2 months)

Query and analyze large-scale datasets using SQL and internal data platforms to track KPIs and assess business performance. Support A/B testing, build Python automation for dashboards and alerts, and develop an internal analytics web application using Google Gemini.

SQL Python Pandas Power BI DAX Google Sheets A B Testing Automation Gemini Data Analysis KPI Reporting Root Cause Analysis

Data Analyst (Power BI & Reporting)

TCS

Jun 2023 - Jul 2024 (1 year 1 month)

Developed and maintained KPI reports and dashboards using SQL, Google Sheets, and Power BI. Built interactive dashboards with DAX measures, implemented data models and Row-Level Security, and led root cause analysis on metric anomalies.

SQL Power BI DAX Google Sheets Data Modeling Row level security KPI Reporting Root Cause Analysis

Analyst

Wipro

May 2022 - Jan 2023 (8 months)

Analyzed sales and operational data using SQL and developed Power BI dashboards for revenue, customer behavior, and regional performance. Performed data cleaning, transformation, validation, and root cause analysis.

SQL Power BI Data Analysis Data Cleaning data transformation Root Cause Analysis Reporting