Data Analyst with less than a year in Data Analysis & Business Intelligence
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Associate Data Analytics with 9 months of experience at Guugly Wuugly, specializing in data analysis, reporting automation, and business insights. Skilled in Excel, Python, SQL, R, and Power BI, seeking a Data Analyst / Data Science / AI-ML role to support data-driven decision-making.
Shivaji University, Kolhapur
M.Sc. in Applied Statistics and Informatics · Applied Statistics and Informatics
August 1, 2023 – June 30, 2025
Rajarshi Chhatrapati Shahu College, Kolhapur
Bachelor of Science in Statistics · Statistics
August 1, 2022 – June 30, 2023
Guugly Wuugly
Associate - Data Analytics
November 1, 2025 – Present
India
Crisil Ltd.
Intern – Data Science
June 9, 2025 – October 27, 2025
India
Inventory Forecasting & PO Optimization using Sales Data
June 1, 2026 – Present
Developed an automated inventory forecasting calculator using Excel to optimize PO allocation based on sales trends. Replaced manual PO distribution with a data-driven approach, improving inventory allocation across product variants. Designed logic to allocate budget proportionally based on sales percentage, reducing overstock and stockouts. Implemented forecasting using last 3 months of sales data to predict demand for the next 30 days. Improved overall inventory efficiency and reduced potential revenue loss for the company.
Social Media Usage Pattern across Various Psychological and Social Factors among Students
June 1, 2026 – Present
Conducted data analysis on social media usage patterns based on psychological (depression, anxiety, FOMO) and social factors across school, UG, and PG students. Performed data preprocessing and survey data analysis to identify key behavioral trends. Built predictive models using AutoML and Artificial Neural Networks (ANN), achieving 86.17% accuracy. Applied statistical techniques such as Structural Equation Modeling (SEM) and Latent Class Analysis (LCA) for user segmentation and pattern identification. Visualized insights and prepared reports to support data-driven conclusions. Skills: Python, Machine Learning, Statistical Modeling, Data Preprocessing, Data Visualization, Survey Analysis.
The Role of Personality Traits in Financial Literacy
June 1, 2026 – Present
Conducted research on 248 participants to analyze the impact of Big Five personality traits on financial behavior. Applied sampling methods and performed statistical analysis on survey data. Identified key traits influencing financial decisions and analyzed demographic factors. Provided recommendations to improve financial literacy among target groups. Skills: Statistical Analysis, Data Preprocessing, Machine Learning, Visualization.
Power BI for Beginners
Simplilearn
June 1, 2026 – Present
Excel Dashboard Fundamentals
Simplilearn
June 1, 2026 – Present
Time series Modelling and Forecasting with Applications in R
SWAYAM
June 1, 2026 – Present
Delivered a seminar on Excel Macros & VBA Automation
Unknown
June 1, 2026 – Present
Published research in the International Journal of Innovative Research in Technology
International Journal of Innovative Research in Technology
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse interest in applying data analysis to various domains, from inventory management to social psychology and financial literacy. This breadth of application suggests adaptability and a willingness to explore different problem spaces. Their experience at Guugly Wuugly and Crisil Ltd. indicates an ability to work in a business context, focusing on practical outcomes like optimizing stock and streamlining processes. The certifications in Power BI and Excel further demonstrate a commitment to continuous learning and skill development, which is a positive cultural fit for growth-oriented teams. However, the experience is relatively short, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to problem-solving through automation and data-driven decision-making, as evidenced by automating daily reports and developing forecasting tools. Their project work indicates an ability to conduct thorough research and present findings, which aligns with operational needs for clear communication of insights. The academic projects also suggest an aptitude for independent research and analytical thinking.