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Data Analyst with 4+ years in business analytics, Power BI, and SQL.
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Data Analyst with 4.5 years of experience in data analysis, business intelligence, and reporting. Skilled in developing Power BI dashboards, optimizing data processes, and leading data-driven decision-making to improve operational efficiency and accuracy. Proven ability to collaborate with cross-functional teams and enhance system functionality in diverse environments.
University of The Pacific
Master of Science · Business Analytics
August 1, 2023 – June 30, 2024
MIT World Peace University
Bachelors in Technology · Computer Science
August 1, 2019 – June 30, 2023
JM Aluminium
Data Analyst
February 1, 2025 – Present
Ahmadnagar, Maharashtra, India
Eberhardt School of Business, University of the Pacific
Teaching Assistant – MSBA 230: Database Management Systems with SQL and R
August 1, 2024 – December 1, 2024
Stockton, California, United States
Ishved Biotech Pvt Ltd.
Junior Business Analyst
January 1, 2023 – June 1, 2024
Jalna, Maharashtra, India
World Trade Center
Export Associate
July 1, 2022 – January 1, 2023
Pune, Maharashtra, India
Sentiment Analysis Model for Stock Market Comments on Social Media
June 30, 2026 – Present
Developed a sentiment analysis model to classify social media comments and reviews related to the stock market into positive, negative or neutral categories. Inspired by J.P.Morgan Chase's LOXM, leveraged advanced sentiment analysis techniques to refine the model's predictive capabilities but this time with better accuracy of 71% in SVM Model and ROX Curve indicated score of 0.87.
Australian Team Match Analysis Dashboard (Grafana + BigQuery)
June 30, 2026 – Present
Built an interactive performance dashboard using Grafana and BigQuery, simulating the role of an analyst for the Australian Cricket Team during the ICC World Cup. Analyzed historical match data to identify performance trends in batting, bowling, and other key areas, offering data-driven recommendations for strategic improvement. Transformed raw cricket statistics into clear, actionable insights, enabling more informed game-planning and team analysis.
Diamond Pricing Analysis and Forecasting
June 30, 2026 – Present
Conducted in-depth analysis of diamond pricing data from major retailers (e.g., Bluenile.com and BrilliantEarth.com) using advanced statistical methods to uncover pricing trends, influencing factors, and potential market gaps. Simplified and automated the pricing analysis using pivot tables and data visualization, which allowed for clear, actionable insights to be communicated to stakeholders for quicker and more strategic business decisions.
Phone Chooser Dashboard
June 30, 2026 – Present
Designed a Phone Chooser Dashboard that enables users to filter smartphones based on key features like RAM, Camera, Battery, Brand, Model, and Price. Implemented dynamic selection and sorting logic to display the Top 10 phones by rating within the user-defined criteria. Created an intuitive and scalable interface, making it easy to compare options and support smarter purchase decisions across multiple product categories.
IBM Data Analysis with Python
IBM
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from sentiment analysis to sports analytics and e-commerce dashboards, indicates a broad interest in applying data analysis across various domains. Their academic background in Business Analytics and Computer Science, combined with professional roles in different industries (manufacturing, biotech, trade), suggests adaptability and a willingness to learn new contexts. The current role as a Data Analyst aligns directly with the target role, indicating a clear career path and commitment to the field.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving skills, and a results-oriented approach, as evidenced by their ability to identify gaps, optimize processes, and contribute to cost savings. Their experience as a Teaching Assistant also suggests good communication and mentoring abilities. Collaboration with ERP development and R&D teams indicates a capacity for cross-functional teamwork.