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Data Science with less than a year in Python, SQL, and Power BI with a strong foundation in analytic
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Assessing your cultural and operational fit
Aspiring Data Analyst skilled in Python, SQL, and Power BI, with a strong foundation in analytics and visualization. Passionate about using data to solve business problems and support data-driven decision-making in dynamic organizations. Currently advancing skills in Data Science with AI. Strong analytical mindset with a passion for transforming complex data into actionable insights to drive business decisions.
Arts & Commerce College, Shivaji University
Bachelor of Commerce (B.COM) · Commerce
N/A – June 30, 2023
DeveLearn Institute of Data Science, Mumbai
Data Analyst & Machine Learning
N/A – June 30, 2026
Rizvi Institute of Management Studies & Research, Mumbai University
Masters of Management Studies (Systems) · Systems
N/A – June 30, 2025
Grievance Resolution Prediction using Machine Learning
June 19, 2026 – Present
Built a classification model to predict grievance complaint resolution (Open/Closed) with data cleaning, missing value treatment, and feature engineering. Engineered 5 domain-driven feature buckets and extracted time-based features, applying Label Encoding and Standard Scaling for model readiness. Trained and compared 4 ML models (Logistic Regression, Decision Tree, Random Forest, Gradient Boosting) evaluated using Accuracy, Confusion Matrix, and ROC-AUC Score.
E-commerce Sales Analysis & Visualization
June 19, 2026 – Present
Conducted EDA on 10K+ e-commerce records, performing data cleaning, missing value treatment, and outlier detection to improve dataset reliability by 20%. Developed interactive Power BI dashboards with 15+ visuals and slicers, enabling real-time business insights. Created 10+ DAX measures including Revenue, Profit Margin, AOV, and Growth Metrics, improving reporting efficiency by 30-40%.
Retail Superstore Analysis - The Sparks Foundation
June 19, 2026 – Present
Designed interactive dashboards using Power BI to visualize business data and key metrics. Created 5+ KPIs using DAX, enabling effective performance tracking and analysis.
Cultural Fit Analysis
The candidate's projects demonstrate a focus on practical data analysis and machine learning applications, which aligns well with a data-driven culture. The diversity of projects (e-commerce, retail, grievance prediction) shows a breadth of interest. The ongoing education in Data Science and Machine Learning indicates a strong commitment to the target role. However, the lack of professional experience makes it challenging to fully assess cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an analytical mindset and a passion for transforming complex data into actionable insights. The pursuit of multiple degrees and professional courses indicates a proactive and learning-oriented attitude. However, without direct work experience, it's difficult to assess operational fit, stress handling, or team collaboration skills.