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Data with less than a year in Statistical Modeling, Python & Power BI
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Assessing your cultural and operational fit
Statistics postgraduate with expertise in SQL, Python, Power BI, Tableau, and data visualization. Skilled in data analysis, exploratory data analysis (EDA), statistical modeling, predictive analytics, and dashboard development, with the ability to extract actionable insights from complex datasets and support data-driven decision-making.
Modern College of Arts, Science and Commerce, Pune
M.Sc. Statistics · Statistics
August 1, 2024 – June 30, 2026
Ahmednagar College, Ahmednagar
B.Sc. Statistics · Statistics
August 1, 2021 – June 30, 2024
Sarda College, Ahmednagar
Higher Secondary · 12th
N/A – May 31, 2021
Ashokbhau Firodiya School, Ahmednagar
Secondary School · 10th
N/A – May 31, 2019
Statistical and Machine Learning Application for REE Exploration
June 23, 2026 – April 1, 2026
Analyzed geochemical datasets from 7 global locations using statistical and machine learning techniques. Performed data cleaning, feature engineering, missing value treatment, and exploratory data analysis. Applied K-Means Clustering, Hierarchical Clustering, ANOVA, and Regression Models to uncover significant trends and relationships. Developed predictive models using Lasso, Ridge, and Elastic Net Regression. Created interactive Power BI dashboards to visualize trends, patterns, and analytical findings from geochemical datasets.
Market Basket Analysis & Customer Purchase Analytics
June 23, 2026 – May 1, 2024
Conducted market basket analysis using the Apriori Algorithm to identify product associations and customer purchasing patterns. Identified frequently purchased product combinations to support cross-selling opportunities. Leveraged Chi-Square testing to validate product associations statistically. Examined seasonal sales trends and customer buying behavior. Designed network visualizations and analytical reports to communicate key findings and data-driven insights.
Data Science & Machine Learning Program
Ongoing
June 1, 2026 – Present
Power BI Workshop
Unknown
September 1, 2025 – Present
Lean Six Sigma Yellow Belt (DMAADV)
Unknown
June 1, 2025 – Present
C Programming Course
Unknown
June 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects show a proactive approach to applying learned skills. The ongoing Data Science & Machine Learning program and Lean Six Sigma certification indicate a commitment to continuous learning and process improvement, which aligns well with a growth-oriented culture. The diversity of projects (market basket analysis, geochemical data analysis) suggests adaptability to different problem domains. However, the lack of professional experience means there's no direct evidence of cultural fit within a team or corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to conduct end-to-end data analysis, from data cleaning to visualization and insight generation. The academic background in statistics suggests a strong foundation in analytical thinking and problem-solving. However, without professional experience, the operational fit in a corporate environment and soft skills like teamwork and communication in a professional setting are not explicitly demonstrated.