Data Analyst with 1+ years in Data Analysis & Business Intelligence
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MBA in Business Analytics with expertise in data analysis, business intelligence, and requirement gathering. Proficient in Python, SQL, Advanced Excel, Power BI, and Azure. Hands-on experience in building interactive dashboards and reports during a 3-month internship, supporting data-driven decision-making. Skilled in data cleaning, data visualization, and translating business requirements into actionable insights. Knowledge of SDLC, stakeholder management, and process improvement with strong analytical and problem-solving abilities.
PCET's SB Patil Institute of Management, Pune
MBA · Business Analytics
August 1, 2024 – Present
PCET's Pimpri Chinchwad College of Engineering & Research, Pune
BE · Mechanical Engineering
August 1, 2020 – June 30, 2023
PCET's Pimpri Chinchwad Polytechnic, Pune
Diploma · Mechanical Engineering
August 1, 2017 – June 30, 2020
SNBP English Medium School, Pune
CBSE Board
June 1, 2010 – May 31, 2017
VR Coatings Pvt Ltd
Business Analyst Intern
May 1, 2025 – August 1, 2025
Pune, Maharashtra, India
Knest Aluform Pvt Ltd
Design Engineer
March 1, 2023 – September 1, 2024
Pune, Maharashtra, India
End-to-end Azure Data Factory Project using ETL Pipelines with Medallion Architecture
September 1, 2025 – June 1, 2026
Built end-to-end ETL pipeline using Azure Data Factory (ADF) with Medallion Architecture (Bronze-Silver–Gold) on Microsoft Azure. Integrated data from on-premises (Self-Hosted IR), GitHub (Web/Copy Activities), and Azure SQL Database. Performed data ingestion, cleaning, and transformation in Azure Data Lake using Mapping Data Flows (joins, filters, aggregations) & developed analytics-ready datasets.
End-to-end Azure Databricks NYC Taxi Project with Medallion Architecture
September 1, 2025 – June 1, 2026
Developed end-to-end data analytics pipeline on Microsoft Azure using Azure Data Factory (ADF) and Medallion Architecture (Bronze-Silver-Gold) with NYC Taxi dataset. Ingested data from public sources into Azure Data Lake Storage Gen2 and processed large datasets using Azure Databricks and PySpark. Performed data cleaning, transformation, and Delta table creation with SQL queries and PySpark to build structured, analytics-ready datasets.
Developed a Modern Data Warehouse using SQL Server to Consolidate Sales Data, enabling Analytical Reporting & Informed Decision-making
September 1, 2025 – June 1, 2026
Developed a modern data warehouse using SQL Server, consolidating sales data from multiple CSV sources and implementing Medallion Architecture (Bronze-Silver-Gold) for structured data management. Performed data processing, EDA, and SQL-based analytics to generate analytical reports and business insights, enabling data-driven decision-making and BI reporting.
Study the Awareness & Perception of Engineering Students in PCMC Towards Business Analytics as a Career
September 1, 2025 – June 1, 2026
Conducted primary research and survey analysis to evaluate awareness, perception, and career preferences of engineering students toward Business Analytics, using data analysis techniques. Analyzed survey data to identify trends, skill gaps, and adoption barriers, providing actionable insights to support data-driven career decision-making and academic alignment.
Data-Driven Sales Insights for Performance Improvement at VR Coatings Pvt. Ltd.
May 1, 2025 – August 1, 2025
Analyzed sales data using Excel and Power BI to identify performance trends, revenue drivers, and product growth opportunities, improving decision-making efficiency by 15%. Developed interactive Power BI dashboards and performed data cleaning, validation, and transformation, enhancing data accuracy and reporting efficiency by 10%.
IBM Business Analyst Professional Certificate
Coursera
June 1, 2026 – January 1, 2026
Microsoft Business Analyst Professional Certificate
Coursera
June 1, 2026 – January 1, 2026
Python, SQL, Power BI, Azure
Vowtech IT Training Center
January 1, 2025 – Present
Microsoft Excel
Linkedin Learning
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic background in Business Analytics, coupled with diverse projects involving Azure, Databricks, SQL Server, and Power BI, indicates a strong interest and foundational fit for a data-driven culture. Their internship as a Business Analyst further reinforces this alignment. The breadth of skills and project types suggests adaptability and a willingness to learn new technologies, which is beneficial for cultural integration in a dynamic environment.
Soft Skills & Operational Fit
The candidate demonstrates good soft skills such as communication, analytical thinking, teamwork, and time management, which are crucial for a Data Analyst role. Their experience in stakeholder management and requirement gathering aligns well with operational needs for data projects. The academic projects show an ability to work on end-to-end data solutions, indicating a structured approach to problem-solving.