About

Data Analytics Fresher with a background in Quality Assurance and healthcare operations, transitioning into the Data Analytics domain. Skilled in Python, SQL, Power BI, Excel, and data visualization with hands-on project experience in fraud detection, customer behavior analysis, statistical analysis, and dashboard development. Strong analytical thinking, attention to detail, and problem-solving abilities.

Experience1

  1. Quality Analyst

    01/2020 — 01/2022

    Ahuja Medicare

    Monitored healthcare processes ensuring compliance with ISO, NABH, and internal quality standards. Conducted audits on patient records, lab reports, and clinical procedures with strong attention to detail. Prepared quality reports to improve transparency and collaborated with cross-functional teams maintaining compliance standards. Assisted staff training and supported internal and external audits.

Projects6

  • Fraud Detection & Risk Analysis (SQL & MongoDB)

    Developed fraud detection workflows using SQL and MongoDB to identify anomalies in financial datasets, creating analytical queries and aggregation pipelines to detect suspicious transactions and risk patterns. Applied indexing and data modeling to improve performance and reporting efficiency.

    • SQL
    • MongoDB
  • Loan Portfolio & Customer Behavior Analysis – Hero FinCorp

    Built Power BI dashboards and SQL-based workflows to evaluate customer repayment behavior and loan performance by cleaning and integrating multi-source datasets. Used statistical techniques and DAX measures to identify default trends and customer segments.

    • Power BI
    • SQL
    • DAX
  • Retail Company Data Analysis (Python Project)

    Automated sales reporting, inventory tracking, and customer segmentation using Python. Performed data cleaning, forecasting, and sentiment analysis generating business insights and utilities for reporting automation.

    • Python
  • Statistical Analysis for Decision Making

    Conducted hypothesis testing and probability analysis using Python and real-world datasets to analyze seasonal property price trends and customer behavior, generating actionable insights with data-driven visualization.

    • Python
  • Airbnb Data Analysis (Power BI Project)

    Created interactive Power BI dashboards analyzing Airbnb pricing, reviews, and guest satisfaction trends, producing visual reports identifying city-wise trends, location insights, and host performance metrics.

    • Power BI
  • Azure & Data Analytics | Smartgear Sales

    Built Azure-based ETL and analytics workflows for retail sales reporting, working with Azure Data Factory, Databricks, and Synapse SQL for data ingestion, transformation, and generating validated insights for reporting.

    • Azure Data Factory
    • Azure Databricks
    • Azure Synapse
    • SQL

Education2

  • Bachelor of Science

    2022 — 2025

    Chhatrapati Shahu Ji Maharaj University, Kanpur

  • Diploma in Pharmacy

    2018 — 2020

    Sharda University, Noida