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Developed an interactive analytics solution to evaluate fundraising performance, donor behaviour, campaign effectiveness and marketing efficiency.
I analyze complex datasets and transform them into clear, actionable insights using SQL, Power BI, Python and Excel. My work spans data cleaning, exploratory analysis, interactive dashboards, KPI reporting and predictive analytics.
I'm a Data Analyst with an engineering background and a strong interest in transforming complex datasets into clear and meaningful business insights.
My work combines SQL, Power BI, Python, Excel, Tableau and statistical analysis to clean data, investigate performance, develop dashboards and build predictive solutions.
I focus on understanding the business question behind the data, selecting the right analytical approach and communicating findings in a way that supports informed decision-making.
What happened? Why did it happen? What does the data tell us — and what should we do next?
My toolkit covers data preparation, querying, business intelligence, visualization, statistical analysis and machine learning.
SQL • Excel • Python • Pandas • NumPy • Data Cleaning • Data Validation • Exploratory Data Analysis
Power BI • DAX • Power Query • Tableau • KPI Reporting • Dashboard Development • Data Visualization
Scikit-learn • Linear Regression • Decision Trees • Random Forest • K-Means • Model Evaluation
Statistical Analysis • Hypothesis Testing • Correlation • Outlier Analysis • Trend Analysis • Business Insights
Projects demonstrating how I approach business intelligence, machine learning and database analytics.
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Developed an interactive analytics solution to evaluate fundraising performance, donor behaviour, campaign effectiveness and marketing efficiency.
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Developed an end-to-end regression workflow to analyze environmental sensor measurements and predict Relative Humidity.
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Designed a structured aviation database covering passengers, flights, bookings, aircraft, routes, payments and operational data.
I follow a structured workflow to ensure that the final analysis addresses the underlying business problem.
Define the business problem, objectives and key performance indicators.
Clean, validate and transform raw datasets for analysis.
Explore trends, relationships, patterns and performance drivers.
Communicate findings through dashboards and visual reports.
Translate analytical findings into actionable recommendations.
My engineering background developed my analytical, technical and problem-solving foundation.
Sant Gadge Baba Amravati University
Government Polytechnic, Amravati
SQL • Power BI • Python • Excel • Tableau • Statistics • Machine Learning
I'm interested in Data Analyst opportunities where I can apply data analysis, business intelligence and analytical problem-solving skills to real-world business challenges.