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Data Science with less than a year in Python, SQL, Power BI, and Tableau.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
B.Sc. Data Science graduate proficient in transforming raw datasets into actionable business intelligence using Python, SQL, Power BI, and Tableau. Strong core competencies in data cleaning, exploratory data analysis (EDA), and automated dashboard architecture. Proven ability to translate complex statistical analysis into metrics that support data-driven decision making.
University of Mumbai
Bachelor of Science · Data Science
August 1, 2023 – June 30, 2026
TrueWorth - Resale Price Analysis System
June 1, 2026 – Present
Architected an end-to-end ETL pipeline to clean and standardize 10,000+ unstructured resale records sourced from OLX and Kaggle across electronics and automobile categories. Applied feature engineering and data mining protocols using Scikit-learn to build a predictive regression model, achieving an R² score of 0.94 in resale price estimation. Visualized depreciation patterns and market trends using Matplotlib and Seaborn, delivering actionable insights through structured stakeholder reports.
Sales Performance & Intelligence Dashboard
June 1, 2026 – Present
Built interactive Power BI dashboards tracking sales KPIs, regional revenue, and Year-over-Year (YoY) retention metrics. Developed DAX expressions for dynamic cross-functional filtering and accurate YoY performance comparisons. Automated ETL workflows in Power Query, improving data refresh and reporting efficiency by 30%.
View ProjectIBM Data Analyst Professional Certificate
IBM
June 1, 2026 – Present
Deloitte Data Analytics Job Simulation
Forage
June 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, including resale price analysis and sales performance dashboards, indicates a broad interest in applying data science across different domains. Their proactive pursuit of certifications and participation in job simulations (Deloitte) suggest a strong drive for professional development and a willingness to engage with industry practices. The stated core competencies of data storytelling and team collaboration are positive indicators for cultural integration.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical problem-solving skills and a proactive approach to learning, as evidenced by personal projects and certifications. Their core competencies include data storytelling and team collaboration, which are crucial for operational fit in a data science role. The candidate's interest in Data Governance Frameworks and AI/ML in Business Analytics aligns well with advanced data science operations.