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Data Science with less than a year in Python, SQL & 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
Results-driven Data Science & Analytics professional with hands-on experience in Python, SQL, Power BI, and Machine Learning. Proven ability to build end-to-end ML pipelines, design interactive BI dashboards, and translate complex datasets into actionable business insights. Certified in SQL (Basic & Advanced), currently completing a PG Program in Data Science & Analytics. Skilled in EDA, statistical analysis, predictive modeling, and deep learning.
Imarticus Learning
Post Graduate Program · Data Science & Analytics
August 1, 2025 – June 30, 2026
North Maharashtra University
Bachelor of Science · Computer Science
August 1, 2022 – June 30, 2025
Anglo Urdu Junior College
Higher Secondary Education (HSC)
June 1, 2020 – May 31, 2022
Supply Chain Analysis Dashboard
October 1, 2025 – June 1, 2026
Designed an interactive Power BI dashboard monitoring KPIs (inventory, order fulfillment, lead time, supplier performance) using DAX and Power Query. Built trend analysis and demand forecasting visuals that identified bottlenecks and reduced operational inefficiencies.
Telecom Customer Churn Dashboard
October 1, 2025 – June 1, 2026
Developed a churn analytics dashboard analyzing demographics, service usage, and billing to identify high-churn segments using DAX measures and slicers. Delivered targeted retention recommendations uncovering behavioral patterns across key customer cohorts.
HR Employee Attrition Dashboard
October 1, 2025 – June 1, 2026
Built an HR analytics dashboard tracking attrition rates across departments by age, tenure, salary, and role using dynamic KPIs and DAX measures. Enabled HR teams to proactively address retention risks through interactive slicers and department-wise attrition trend visuals.
E-Commerce Data Analysis
October 1, 2025 – June 1, 2026
Designed a normalized relational database; wrote complex queries (JOINS, SUBQUERIES, GROUP BY, HAVING) to identify top products and repeat customers. Analyzed category-wise sales performance and order status trends to surface actionable insights for business growth decisions.
View ProjectHiring Decision Prediction System
October 1, 2025 – June 1, 2026
Built end-to-end ML pipeline using Random Forest & Gradient Boost to predict hiring outcomes; evaluated with accuracy, precision, recall, and F1-score. Performed feature engineering, missing value handling, and EDA to improve data quality and boost overall model performance.
SQL Basic Certificate
HackerRank
January 1, 2025 – Present
SQL Advanced Certificate
HackerRank
January 1, 2025 – Present
Hackathon Certificate Business Hack
ITM Kharghar
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a good diversity of applications (supply chain, customer churn, HR, e-commerce, hiring prediction), indicating adaptability and a broad interest in data science domains. The academic background and ongoing postgraduate program align well with a learning-oriented culture. However, the lack of professional experience means cultural fit in a corporate setting is yet to be fully demonstrated.
Soft Skills & Operational Fit
The candidate demonstrates analytical thinking and problem-solving skills through project descriptions. Team collaboration is mentioned as a soft skill, but specific examples of its application in projects are limited. The academic nature of all projects suggests a foundational understanding but lacks real-world operational experience.