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Data Analyst with less than a year in Data Analysis & Visualization
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with hands-on experience working with SQL, Python, Power BI, Microsoft Excel, and Microsoft Fabric. Recently, I worked with more than 500K retail transaction records, developed ETL workflows, and created KPI dashboards used to track key business metrics.
D.Y. Patil College of Engineering and Technology (DYPCET)
B.E. Computer Science Engineering · Computer Science Engineering
June 1, 2023 – June 1, 2027
Quantium Technology
Data Analytics Virtual Intern
January 1, 2026 – March 1, 2026
India
Banking Client Analytics & Data Warehouse
January 1, 2025 – December 31, 2025
Developed an automated ETL pipeline using Python (Pandas, NumPy) to clean, transform, and analyze 3,000+ banking records, performing extensive Exploratory Data Analysis (EDA) to uncover demographic insights. Architected a robust Star Schema Data Warehouse in MySQL, integrating a central fact table with 7 dimension tables and leveraging auto-computed columns to track financial assets and Net Worth. Deployed interactive Power BI dashboards to visualize client segmentation, product holdings, and financial trends, successfully delivering an end-to-end Full-Stack Analytics workflow.
View ProjectSupply Chain & Inventory Analytics Dashboard
January 1, 2025 – December 31, 2025
Designed a MySQL Database for 1,200+ inventory records, ensuring data quality before writing complex queries with Joins, CTEs, and Window Functions for comprehensive trend analysis. Engineered robust SQL queries to calculate key supply chain KPIs, including COGS, Inventory Turnover, Fulfillment Rate, and Backorder Performance, identifying high-cost segments and top vendors. Built dynamic Power BI Dashboards and supplier scorecards to visualize inventory levels, logistics operations, and transportation costs, empowering data-driven procurement decisions.
View ProjectDeloitte Data Analytics Virtual Experience Program
Deloitte / Forage
January 1, 2026 – Present
JPMorgan Chase Quantitative Research Virtual Experience
JPMorgan Chase / Forage
January 1, 2026 – Present
Deloitte Technology Virtual Experience Program
Deloitte Forage
January 1, 2026 – Present
Tata Data Visualisation Virtual Experience Program
Tata Group Forage
January 1, 2026 – Present
AWS Data Engineering Certification
AICTE / Amazon Web Services
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's diverse range of virtual experience programs (Deloitte, JPMorgan Chase, Tata Group) and personal projects (Banking, Supply Chain) indicates a strong initiative and a broad interest in applying data analytics across different industries. This diversity suggests adaptability and a willingness to learn new domains, which are positive indicators for cultural fit in a team that values continuous learning and cross-functional collaboration. The AWS Data Engineering certification also shows a commitment to cloud technologies, aligning with modern data practices.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving, business acumen, and attention to detail through project descriptions. Their experience in translating complex findings into stakeholder reports suggests good data storytelling and communication skills. The virtual internships and certifications indicate a proactive and self-driven approach to learning and professional development, which aligns well with a dynamic work environment.