Data Science with 2+ years in Data Analysis, Power BI & Excel
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Assessing your cultural and operational fit
Results-driven MIS Executive experience in MIS reporting, data management, dashboard creation & process automation using Advanced Excel. Skilled in VLOOKUP, XLOOKUP, Pivot Tables, Index + Match, Macros & Other Advanced Formulas. Also trained in SQL, Python, Power BI & Tableau with good knowledge of data visualization, data cleaning & generating actionable business insights.
School of Open Learning (SOL), University of Delhi
B.Com · Commerce
August 1, 2021 – June 30, 2025
S.S. Khalsa Sr. Sec. School, C.B.S.E. Board
Class XII · Commerce
June 1, 2021 – May 31, 2021
Imarticus Learning
Data Analyst Internship
February 1, 2026 – April 1, 2026
India
Systematic Systems
MIS Executive
February 1, 2024 – February 1, 2026
India
Proffer IT Consultancy
MIS Executive Trainee
July 1, 2023 – February 1, 2024
India
Healthcare Analysis Project (Power BI -> Dashboard)
June 19, 2026 – Present
Developed an interactive Healthcare Dashboard using Power BI to analyse patient trends, hospital performance, treatment costs, recovery outcomes & healthcare service performance. Created key KPIs such as Total Patients, Disease-wise Patient Count, Average Treatment Cost, Recovery Rate & Patient Admission Trends for actionable insights. Designed hospital-wise & city-wise patient analysis to identify treatment patterns, healthcare service performance & patient distribution insights. Built demographic insights including Gender-wise Patient Distribution, Age Group Analysis & Smoking/Diabetes Status Impact Analysis to understand patient health trends. Developed visual reports for Blood Pressure & Cholesterol analysis to identify health trends & patient wellness patterns. Implemented interactive filters, slicers, dynamic KPI cards & optimized visuals to ensure smooth dashboard navigation with a clean & professional user experience.
Customer Churn Prediction (Python & Machine Learning)
June 19, 2026 – Present
Built a predictive model using logistic regression to identify customers likely to churn. Performed data preprocessing, feature engineering & model evaluation. Achieved 80% accuracy in predicting churn.
Sales Analysis Project (Power BI -> Dashboard)
June 19, 2026 – Present
Built an interactive Sales Performance Dashboard using Power BI to analyse customers, revenue, profit & product performance. Created key metrics such as Total Customers, Revenue, Profit, Profit % & month-wise trends for actionable insights. Designed geo-wise revenue analysis comparing sales across UK, USA, India, New Zealand, Australia & Canada. Developed a Salesperson Performance matrix with images, profit % & original amount contribution. Applied conditional formatting to highlight best-selling & low-performing products (thumbs-up/down indicators). Ensured a clean, modern UI with optimized visuals for faster load time & better user experience.
Data Cleaning & Transformation (Excel, SQL & Python)
June 19, 2026 – Present
Cleaned, structured & transformed raw datasets using Excel formulas, Power Query, SQL Queries & Python. Ensured data accuracy, consistency & reducing errors by 95%.
Web Scraping & Automation (Python)
June 19, 2026 – Present
Built a Python script using Beautiful Soup to extract competitive pricing data from e-commerce platforms. Automated data collection & storage in SQL databases for trend analysis.
Data Analytics diploma
Imarticus Learning
June 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from healthcare analysis to sales performance and customer churn prediction, shows adaptability and a broad interest in applying data science across different domains. While the experience is primarily in MIS roles, the Data Analyst Internship and diploma indicate a proactive effort to transition into a data science career. The current experience level (2 years) aligns with an entry-to-mid-level data science role, but the target role of 'Data Science' might be ambitious without more advanced ML/statistical depth.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving, critical thinking, and attention to detail, which are crucial for data-intensive roles. Their experience in MIS reporting and dashboard creation suggests an operational fit for roles requiring regular data insights and performance tracking. The project descriptions indicate an ability to translate business requirements into analytical solutions.