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Data Science with less than a year in data analysis, visualization, and machine learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Analytical and detail-oriented professional skilled in Python, SQL, Excel, Power BI, and Tableau with hands-on experience in data analysis, visualization, and machine learning projects. Strong foundation in exploratory data analysis (EDA), statistical analysis, dashboard development, and business intelligence reporting. Passionate about transforming data into actionable insights and solving business problems through data-driven decision-making.
S.I.C.E.S. Degree College Ambernath (West)
B.Sc. IT · Information Technology
N/A – May 1, 2026
RCT's P.M.M. Rotary Junior College, Ambernath (East)
HSC
N/A – May 31, 2023
G.R. Patil Vidyamandir, Ambernath (East)
SSC
N/A – May 31, 2021
SmartFace Recognition Attendance System
June 20, 2026 – Present
Built an automated attendance system using Python, OpenCV, and face recognition techniques with real-time face detection and attendance recording.
Vrinda Store Sales Analysis
June 20, 2026 – Present
Analyzed 10,000+ sales records using Excel, Pivot Tables, Charts, and data cleaning techniques. Built an interactive dashboard to track revenue, customer trends, and inventory performance.
Amazon Customer Orders Analysis
June 20, 2026 – Present
Queried relational databases using SQL Joins, Aggregations, and Subqueries to analyze sales trends. Wrote 20+ SQL queries to extract customer purchasing insights and generate reports.
Madhav E-Commerce Dashboard
June 20, 2026 – Present
Developed an interactive Power BI dashboard to analyze sales, profit, and customer KPIs. Created dynamic visualizations and KPI cards for business reporting and trend analysis.
Customer Satisfaction Prediction
June 20, 2026 – Present
Built a Linear Regression model using Python to predict customer satisfaction trends. Performed EDA, preprocessing, and feature selection using Pandas and NumPy.
Heart Disease Risk Prediction
June 20, 2026 – Present
Developed a Logistic Regression model to predict heart disease risk with ~85% accuracy. Performed preprocessing, feature engineering, and classification analysis.
Market Basket Analysis
June 20, 2026 – Present
Applied Association Rule Mining and the A-Priori Algorithm to identify purchasing patterns. Generated product recommendation insights and analyzed cross-selling opportunities.
SQL for Data Science Certification
Great Learning
June 1, 2026 – Present
Functions in Python Certification
Great Learning
June 1, 2026 – Present
Global Data Science Program (GDSP)
BSE Institute Limited
January 1, 2024 – January 1, 2025
Cultural Fit Analysis
The candidate's academic projects cover a good range of data science applications, from face recognition to sales analysis and health prediction, indicating a broad interest in the field. The certifications from BSE Institute Limited and Great Learning show a proactive approach to learning and skill development. The target role of 'Data Science' aligns well with the candidate's stated skills and project experience. However, the lack of professional experience means cultural fit in a corporate setting is largely unproven.
Soft Skills & Operational Fit
The candidate's resume highlights an analytical and detail-oriented approach, with a passion for transforming data into actionable insights. The academic projects demonstrate problem-solving skills and an ability to work with diverse datasets. However, without specific psychometric or English test results, it is difficult to assess communication clarity, logical reasoning, work attitude, stress handling, and team collaboration beyond what is inferred from project descriptions.