About
Total 3.5+ years of experience at TCS, including 2+ years as a Data Analyst, working across end-to-end analytics, BI reporting, automation, and predictive modelling. Having strong expertise in SQL, Python, Power BI, Tableau, and ETL workflows with hands-on experience in transforming raw data into actionable insights. Skilled in automating reports, building KPI dashboards, improving forecast accuracy, and delivering data solutions from development to deployment with high accuracy and business impact.
Skills & Expertise (5)
Work Experience
Data Analyst
TCS
05-2022 - Present
Developed and automated 20+ dashboards and analytical reports using Power BI and Tableau to support KPI monitoring and business insights. Built predictive analytics models that enhanced forecast accuracy by 12%, enabling improved business planning and resource allocation. Performed large-scale data cleaning, validation, and ETL processing on datasets with 1M+ records, ensuring high data accuracy. Collaborated with business and technical stakeholders to define KPIs and metrics, contributing to an 18% increase in campaign ROI. Presented analytical insights and dashboards to senior management to drive data-driven decision-making across multiple teams. Optimized reporting workflows, achieving a 25% reduction in the overall reporting cycle time through process improvements. Built and deployed a Customer Churn Prediction model using Python (Logistic Regression), achieving 82% accuracy for retention strategies. Designed automated Sales Forecast Dashboards in Power BI, reducing manual forecasting efforts by 40% for business users. Created finance-focused KPI dashboards using SQL and Tableau, improving budget planning and financial performance tracking.
Data Analyst
TCS
05-2022 - Present
Developed and automated 20+ dashboards and analytical reports using Power BI and Tableau to support KPI monitoring and business insights. Built predictive analytics models that enhanced forecast accuracy by 12%, enabling improved business planning and resource allocation. Performed large-scale data cleaning, validation, and ETL processing on datasets with 1M+ records, ensuring high data accuracy. Collaborated with business and technical stakeholders to define KPIs and metrics, contributing to an 18% increase in campaign ROI. Presented analytical insights and dashboards to senior management to drive data-driven decision-making across multiple teams. Optimized reporting workflows, achieving a 25% reduction in the overall reporting cycle time through process improvements. Built and deployed a Customer Churn Prediction model using Python (Logistic Regression), achieving 82% accuracy for retention strategies. Designed automated Sales Forecast Dashboards in Power BI, reducing manual forecasting efforts by 40% for business users. Created finance-focused KPI dashboards using SQL and Tableau, improving budget planning and financial performance tracking.
Education
Bachelor of Technology
2018 - 2021 · India
Bachelor of Technology
2018 - 2021 · India
Diploma in Mechanical Engineering
2014 - 2018 · India
Diploma in Mechanical Engineering
2014 - 2018 · India
Interested in this developer?
Profile Score Breakdown
Profile Overview
Availability Details
Relocation
Open to Relocation
