Excel
Project
PowerBI
Project
Me
Hello and Welcome to my portfolio!
I'm an aspiring Data Analyst with a Master's degree in Computer Science and a passion for uncovering stories hidden in data. While my academic background laid the technical foundation, it was during hands-on projects and real-world problem-solving that I discovered my natural ability to analyze data and extract meaningful insights.
With over a year of professional experience as a Data Analyst, I’ve developed a solid grasp of tools like Excel, Power BI, SQL, and Python. I’ve used these skills to transform raw data into actionable strategies, helping teams make data-driven decisions that matter.
Beyond the workplace, I’ve completed several business-focused projects showcased in my portfolio below—each one reflecting my curiosity, analytical mindset, and drive to solve problems through data.
Skills
Excel
Power Bi
SQL
Tableau
Python
Star Schema
Snowflake Schema
stakeholder Management
Projects
Domain/Function: FMCG
Developed two analytical reports for the sales team to assess customer performance and gain insights into their market performance relative to targets.
Domain/Function: Business Insights -360
AtliQ Hardwares, a fast-growing consumer electronics company, is struggling to stay competitive due to its reliance on traditional Excel-based reporting. To address this challenge, my objective is to implement a modern analytics solution using Power BI, empowering the company with real-time insights
Experience
Prodapt Solutions PVT. LTD, India --Data Analyst
July 2021– August 2023
• Designed and automated end-to-end ETL workflows using SQL and Python to extract data from AWS, HDFS, and relational databases, ensuring high-quality input for business intelligence solutions.
• Created and maintained interactive dashboards and reports in Power BI and Tableau using data from Microsoft Dynamics CRM, enabling real-time visibility into key performance indicators.
• Implemented customer churn analysis using Python and SQL findings helped shape marketing retention campaigns, improving customer lifetime value by 18%.
• Owned the reporting process, developed data pipelines using Excel and SQL that reduced manual work by 50%, and ensured on-time delivery of accurate reports.
• collaborated with Data Engineering teams to validate and transform large-scale datasets (3M+ rows) to support predictive modeling. Documented processes and reporting logic to promote knowledge sharing and long-term maintainability.