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Data Analysis with less than a year in Python, SQL & Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated and detail-oriented Data Analyst with strong proficiency in SQL, Python (Pandas, NumPy, Matplotlib), and Power BI. Skilled in data cleaning, exploratory data analysis, and building interactive dashboards to generate actionable insights. Strong analytical mindset with the ability to translate complex datasets into meaningful business solutions.
University of Mumbai
Bachelors of Science · Data Science
August 1, 2022 – June 30, 2025
Energy Consumption Optimization
January 1, 2022 – January 1, 2025
Developed a machine learning-based Energy Prediction API to forecast electricity demand using day-of-week and hour-of-day inputs. Built and trained a predictive model using PyTorch and scikit-learn, including data preprocessing, feature scaling, and model persistence. Designed and deployed a RESTful API using Flask to provide real-time demand predictions and energy-efficient time recommendations. Implemented endpoints for prediction, optimization recommendations, and system health monitoring. Utilized Python (Pandas, NumPy), model training pipelines, and scalable API architecture to deliver actionable energy usage insights.
View ProjectCricket Team Optimization Dashboard
January 1, 2022 – January 1, 2025
Designed and developed a data-driven cricket team selection dashboard using real-world player statistics scraped from ESPNcricinfo. Engineered a complete analytics pipeline involving data extraction, cleaning, feature engineering, and role-based classification using Python (Pandas, NumPy). Established performance-based selection metrics to objectively evaluate players across batting, bowling, and all-round capabilities. Built an interactive Power BI dashboard enabling dynamic filtering, comparative analysis, and data-backed optimal Playing XI selection. Demonstrated the practical application of analytics in driving unbiased, performance-oriented decision-making in sports.
View ProjectRobotic Process Automation (RPA)
Unknown
June 1, 2026 – Present
DevOps
Unknown
June 1, 2026 – Present
PowerBI
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a practical approach to problem-solving, which aligns with a results-oriented culture. The diversity of projects (sports analytics, energy optimization) indicates a broad interest and adaptability. Participation in team competitions suggests a collaborative mindset. However, the lack of professional experience limits the depth of assessment for cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate's extracurricular activities indicate strong teamwork and collaboration skills, which are beneficial for operational fit. The project descriptions suggest an ability to translate complex data into business solutions, demonstrating problem-solving and analytical thinking. However, without direct work experience, the operational fit in a professional setting is yet to be fully validated.