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Data Science with less than a year in Data Analysis, Machine Learning, and Visualization.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Enthusiastic and detail-oriented BCS graduate with a passion for data science, with strong knowledge of MySQL, Python, Machine Learning for data analysis and predicative model building. Skilled in Power Bi and Tableau for creating insightful dashboards and visualizations, and proficient in Excel for data cleaning and reporting. Passionate about applying analytical thinking to solve real-world problems using data.
Vivekanand college, Kolhapur
BCS
August 1, 2024 – June 30, 2025
Vivekanand college, Kolhapur
BCS
August 1, 2023 – June 30, 2024
Vivekanand college, Kolhapur
BCS
August 1, 2022 – June 30, 2023
Kisanrao More Highschool & Junior college, Sarawade
H.S.C.
June 1, 2020 – May 31, 2022
Nadhawade Highschool, Nadhawade
S.S.C.
June 1, 2017 – May 31, 2020
Commodity Price Analysis
June 1, 2026 – Present
Analyzed price data for 50+ commodities over 24 months, identifying the top 10 costliest commodities in 2019 and 2020, with common items prioritized for business strategy. Calculated up to 45% maximum regional price variation for commodities, highlighting market volatility in June 2020. Generated city-level price variation reports showing over 30% fluctuation for key commodities, delivering actionable insights for regional pricing optimization.
Sample Sales Dashboard
June 1, 2026 – Present
To analyze and monitor key performance indicators (KPIs) such as Total Sales and Total Profit over the selected year (2017). To visualize and compare Current Year (CY) vs Previous Year (PY) sales and profit trends, identifying growth or decline percentages. To study sales and profit fluctuations across months and weeks, helping to identify peak and low-performing periods. To design an interactive dashboard where users can filter, explore, and visually interpret data quickly using Tableau’s visualization tools.
E-commerce Cost Analysis
June 1, 2026 – Present
Conducted end-to-end analysis of e-commerce data to explore sales trends, customer behavior, and product performance. Created interactive dashboards with pivot tables, charts, and conditional formatting for clear visualization. Derived insights on top-selling products, revenue share, and customer segmentation to support marketing strategy.
Java Script
IBM
June 1, 2026 – Present
Maharashtra State Certificate in Information Technology (MS-CIT)
Unknown
June 1, 2026 – Present
Google AI Essentials Course
Anudip Foundation
June 1, 2026 – Present
Advanced Certification in Data Science with AI-ML
upGrad
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in applying data analysis to various business scenarios (e-commerce, commodities, sales). The certifications in Data Science and AI-ML indicate a proactive approach to learning and skill development, which aligns with a culture of continuous improvement. However, the lack of professional experience and diverse project types beyond academic settings limits the assessment of cultural fit in a dynamic, senior-level environment.
Soft Skills & Operational Fit
The candidate highlights communication, collaboration, critical thinking, problem-solving, and continuous learning as soft skills. These are essential for operational fit in a data science role, which often involves cross-functional collaboration and iterative problem-solving. However, without direct experience, the application of these skills in a professional setting is unproven.