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Data Analyst with 1+ years 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
Results-driven Data Analyst with hands-on experience in Python, SQL, Excel, and Power BI. Proven ability to clean and transform large datasets, perform exploratory data analysis, and build interactive dashboards that surface actionable insights. Demonstrated expertise across HR analytics, e-commerce, and healthcare domains. Passionate about leveraging data to drive informed business decisions and improve operational efficiency.
Government College of Engineering, Chandrapur
Bachelor of Engineering (B.E.) · Computer Science
N/A – June 30, 2025
Healthcare Operational Efficiency & Patient No-Show Analysis
June 17, 2026 – Present
Built an end-to-end analytics solution revealing a 28.19% overall no-show rate, quantifying its operational and financial impact. Performed data cleaning, feature engineering, and SQL-based aggregation to evaluate waiting times, demographics, gender distribution, and the effectiveness of SMS reminders. Developed an interactive Power BI dashboard with DAX measures to visualize KPIs and estimate revenue loss from missed appointments. Delivered data-driven recommendations to reduce no-show rates through targeted reminder strategies and scheduling optimizations.
View ProjectHR Analytics - Employee Attrition & Workforce Analysis
June 17, 2026 – Present
Performed data cleaning and feature engineering on an employee dataset of 1,400+ records using Pandas, improving data quality by resolving missing values and encoding categorical variables. Executed advanced SQL queries to analyze attrition patterns by department, salary band, overtime status, and years of experience — identifying key resignation drivers. Developed DAX measures in Power BI to calculate attrition rate, retention metrics, and workforce KPIs, enabling real-time monitoring. Built an interactive dashboard that highlighted high-risk employee segments, supporting proactive HR interventions and workforce planning.
View ProjectE-Commerce Sales Analysis with Customer Insights
June 17, 2026 – Present
Cleaned and analyzed 500K+ e-commerce transaction records using Python (Pandas) and SQL, ensuring data integrity across product, customer, and regional dimensions. Designed an interactive Power BI dashboard delivering revenue trends, customer behavior metrics, and regional performance breakdowns. Implemented DAX measures including Year-to-Date (YTD) sales, Month-over-Month growth, and customer lifetime value KPIs. Identified seasonal demand patterns and high-revenue customer segments, providing actionable recommendations for marketing and inventory strategy.
View ProjectData Visualisation: Empowering Business with Effective Insights
Tata Group (Forage)
January 1, 2026 – Present
Data Analytics Job Simulation
Quantium (Forage)
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse domains (Healthcare, HR, E-commerce), indicating adaptability and a broad interest in applying data analytics to different business challenges. This diversity suggests a willingness to learn and engage with various problem spaces, which can be a positive cultural fit for dynamic environments. The certifications also show initiative in self-improvement. However, without information on extracurricular activities or team-based academic projects, assessing collaboration style and broader cultural alignment is challenging.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a results-driven approach and a passion for leveraging data to drive informed business decisions and improve operational efficiency. The academic projects demonstrate problem-solving skills and an ability to work with diverse datasets. However, without direct work experience or psychometric test results, it's difficult to fully assess stress handling, team collaboration, and work attitude.