More than 5 years of comprehensive experience in the field of teaching, accompanied by a bachelor's degree in IT engineering. Proficient in data analysis, statistical analysis, hypothesis testing,& customer behaviour analysis. Demonstrated success in leading impactful projects and providing effective mentorship.
0 + Projects completed
Seasoned Home Tutor with 5+ years of experience driving computer courses and customer strategies through data-driven insights. Proven expertise in data analysis, statistical analysis, specially C-programming language and project management.
Since 2010, I have been working as a home tutor, providing computer courses with a focus on programming languages. In addition, from September 2023 to the present, I have been teaching computer courses such as MS Excel, BI Tools, SQL, and Python.
Below are the sample Data Analytics projects on SQL, Python, Power BI .
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Built an interactive finance dashboard to track KPI performance and trends, with drilldowns for variance analysis. Used Power BI AI features such as Decomposition Tree, anomaly detection, and forecasting to explain whatβs driving changes and highlight unusual behavior, enabling faster, self-serve insights for stakeholders.
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A visually rich, real-time weather dashboard displaying current conditions, 3-day forecasts, air quality index, sunrise/sunset times, and key environmental metrics like humidity, wind speed, visibility, and rainfall probability to support quick, location-based weather insights.
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An interactive Excel dashboard analyzing bank loan applications with KPIs for total loans, funded and received amounts, interest rates, and debt-to-income ratio. It provides insights by loan status, term, purpose, employment length, state, and monthly trends to support credit risk and lending decisions.
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An interactive sales dashboard analyzing mobile store performance with KPIs for total sales, quantity, transactions, and average price. It provides insights by brand, model, location, payment method, customer ratings, monthly trends, and day-wise sales to support retail and inventory decision-making.
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An interactive HR analytics dashboard focused on employee attrition, highlighting key metrics such as attrition rate, average age, salary, and tenure. It provides detailed insights by gender, age group, education field, job role, salary range, and years at company to support workforce planning and retention strategies.
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A comprehensive sales store dashboard highlighting overall performance through KPIs such as total sales, profit, quantity, and average delivery time. It provides clear insights by region, payment mode, shipping method, customer segment, product category, sub-category, and monthly year-over-year trends to support informed business decisions.
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This E-Commerce Performance Dashboard tracks 91K in revenue and 1,973 in profit for XYZ E-Commerce Company. It highlights New Delhi as the top-performing state and identifies Electronics as the highest-selling category by quantity. The analysis reveals significant seasonal profit volatility, with peaks in March and July and losses in January and November, while also noting that Cash on Delivery (40%) remains the dominant payment method.
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This project analyzes Diwali sales data to uncover insights about customer behavior, product performance, and sales trends during the festive season. Using Python (Pandas, NumPy, Matplotlib, and Seaborn), the dataset was cleaned, processed, and visualized to identify key patterns.
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This project focuses on analyzing sales and customer data from an online book store using SQL. The objective is to gain insights into customer preferences, sales performance, and revenue trends to support business decision-making.
Below are the details to reach out to me!
Jaipur(Rajasthan), India