About Me
Fresher Data Analyst with hands-on experience in Power BI, SQL, Python, Excel, Tableau, DAX, Power Query, Pandas, NumPy, and Scikit-learn. Proficient in data cleaning, ETL, EDA, dashboard development, KPI reporting, data visualization, statistical analysis, and business intelligence. Strong problem-solving and analytical skills with experience developing interactive dashboards and presenting business insights. Actively seeking opportunities in Data Analytics, Business Analytics, Business Intelligence, Reporting Analytics, MIS, Product Analytics, and Operations Analytics.
Skills & Technologies
Work Experience
Telecom Advance AIML Training
Analyzed telecom business cases using Python, SQL, Power BI, and Excel. Built a customer churn prediction model on over 50,000 records with 92% accuracy and automated ETL processes for 100,000+ records, reducing refresh time by 40%. Developed interactive Power BI dashboards tracking multiple KPIs.
Data Visualization Intern (Power BI)
Completed the Tata Group Data Visualization Virtual Experience Program, solving real-world business problems using Power BI. Cleaned and transformed over 541K online retail transaction records, developed interactive dashboards with DAX calculations, and delivered actionable insights for customer retention and inventory planning.
Projects
Telecom Churn Prediction System
Developed a customer churn prediction web app using Logistic Regression and Random Forest, achieving 95% model accuracy. Built an automated ETL pipeline for real-time churn analysis and designed interactive dashboards to visualize customer behavior.
Stock Market Performance Dashboard
Developed a Power BI stock analytics dashboard for Bharti Airtel Ltd. to monitor price trends and trading volume. Analyzed stock performance over multiple timeframes and built interactive visualizations for investment decision-making.
CAPM Stock Risk Analytics Tool
Built a CAPM-based stock analytics dashboard analyzing live stock tickers using the Yahoo Finance API. Designed interactive visualizations for portfolio risk assessment and improved decision-making efficiency through consolidated metrics.
Education
B.Tech
Computer Science