Hello, I'm

Chetan Upadhayay

I’m a

I am a results-oriented Data Analyst with a strong analytical mindset, specializing in transforming complex data into clear, actionable insights that drive business growth and informed decision-making. With expertise in Python, SQL, Power BI, and Advanced Excel, I am passionate about delivering data-driven solutions, optimizing processes, and empowering organizations through accurate analysis and strategic insights.

Resume

About Me

Data Analyst

Hello! I'm Chetan Upadhayay, an aspiring Data Analyst currently pursuing a Master of Science (M.Sc.) in Computer Science with a strong academic and practical focus on data analytics and technology.

Data fascinates me for its power to generate insights, solve complex problems, and inspire impactful decisions. My academic journey and hands-on projects have provided me with a robust foundation in:

Data Analysis & Visualization: Advanced Excel, MySQL (including MySQL Workbench), Power BI, Python (with Pandas and Matplotlib)
Analytical Thinking & Detail-Orientation: I approach every data challenge with methodical problem-solving, attention to detail, and a commitment to accuracy.
Communication: I believe true analytics value comes from making results understandable and actionable. I enjoy designing charts, dashboards, and presentations that transform raw data into clear business intelligence.

Beyond academics, I am passionate about continuous learning, staying current with emerging technologies, and expanding my expertise as the field of analytics evolves. Whether mastering the newest BI tools, exploring data engineering basics, or engaging in professional communities, I strive to keep growing.

My goal is to meaningfully contribute to data-driven projects—transforming complex information into strategic insight and empowering organizations to make smarter, more informed decisions.

Data Analysis & Interpretation

Analyzing complex datasets to identify trends, patterns, and insights.

Database Management & Optimization

Writing efficient SQL queries to extract, manipulate, and analyze data.

Data Visualization & Reporting

Creating interactive dashboards using Power BI and Excel for better insights.

Latest Projects

Customer Satisfaction and Prediction

This project aims to predict customer satisfaction using historical data. It utilizes machine learning algorithms to analyze key factors influencing satisfaction and build a robust predictive model, enabling data-driven decision-making and improved customer insights.

TCS Stock Data Analysis and Prediction

The TCS Stock Data Analysis and Prediction project focuses on analyzing historical TCS stock data to understand market behavior, identify key trends, and predict future stock prices. By leveraging data analysis techniques and machine learning models, the project provides valuable insights to support informed investment decisions and market forecasting.

Stock-Market Analysis

The Stock Market Analysis and Prediction project focuses on analyzing historical stock data to identify market trends, patterns, and insights. It leverages data analysis techniques and predictive models to forecast future stock prices, helping investors make informed decisions and understand market behavior.