Anoop Kumar Bhagat

About

Results-driven Business Analyst with 16 years of experience in BPM, BFSI operations, data analytics, and dashboard reporting. Experienced in SQL, Python, Power BI, and Tableau, with a track record of improving reporting efficiency and supporting data-driven decision-making.

Experience

• Senior Business Analyst – Financial Services
  Tata Consultancy Services
  Jan 2021 – Present
• Business Process Lead – BFSI Operations
  Tata Consultancy Services
  Jul 2010 – Dec 2020

Education

• Master of Business Administration (MBA)
  Delhi School of Professional Studies & Research
• Bachelor of Science (B.Sc.)
  City College

Skills

• Communication
• SQL
• Data Analysis
• Data Visualization
• Leadership
• Time Management
• Problem Solving
• Python
• Machine Learning
• Power BI
• Tableau
• MySQL
• Data Cleaning
• Matplotlib
• NumPy
• Pandas
• scikit-learn
• Cross-functional Collaboration
• Jira
• Confluence
• Stakeholder Management
• Scrum
• Process Improvement
• Dashboard Development
• Excel
• Statistical Analysis
• Process Optimization
• Exploratory Data Analysis
• Predictive Modeling
• KPI reporting
• Agile
• Requirement Analysis
• Business requirement gathering

Projects

• Customer Complaint Analytics
  Python, SQL, Power BI

  Developed an end-to-end customer complaint analytics solution using Python, SQL, and Power BI to automate complaint classification, sentiment analysis, and trend monitoring. Performed data cleaning, validation, transformation and automated reporting workflows, reducing manual reporting effort by 60% and improving data accuracy for executive decision-making.

• Customer Delinquency Prediction Model
  Python, Scikit-learn, Pandas, NumPy

  Developed a predictive machine learning model using Python on historical repayment data to flag high-risk accounts likely to default, achieving 85% classification accuracy. Applied feature engineering and EDA techniques on a dataset of 100,000+ customer records, enabling the collections team to prioritize outreach and reduce delinquency rates by 12%.

• Collections & Recovery Performance Dashboard
  Power BI, SQL Server, DAX

  Built an end-to-end Power BI dashboard integrating SQL Server data sources to track delinquency buckets, recovery rates, and agent-wise performance, used by leadership for daily decision-making across a portfolio worth over $50 million. Implemented DAX measures and automated data refresh pipelines, reducing dashboard update time from 3 hours to under 15 minutes.

Courses & certifications

• Data Science & Machine Learning · Udemy
• TCS iON ProCert - Analytics · TCS iON