Highly motivated aspiring data analyst with strong analytical skills and proficiency in data manipulation, cleaning, and analysis along with database. Experienced in graph analytics and applying statistical methods to solve mathematical problems. Possesses critical thinking abilities to extract insights and inform data driven decisions.
Data-driven problem solver with a passion for uncovering insights. Skilled in transforming raw data into actionable knowledge through Zoho Analytics, Python, SQL, and Power BI. Proven ability to deliver impactful data visualizations and drive data-informed decisions. Experienced in full-stack development and creating user-centric applications. Let's collaborate to turn your data into a competitive advantage.
24X7 Moneyworks Consulting Pvt — A pioneering fintech and consulting firm focused on driving transformation across rural finance, banking, and startup ecosystems.
Web India Inc — A leading digital marketing company driving business growth through innovative web solutions and strategic branding.
Courses
Python for Data Science, Python Programming
Achievements
Sports: Volleyball, Cricket
CGPA: 8.55
Percentage: 57.69%
Built a dynamic NewsApp, using React.js. Leveraging an API key, the app delivers daily updates across various categories like sports, business, and technology, keeping users informed on the latest headlines.
Developed an interactive dashboard in Excel to analyze annual retail sales data from company reports. Cleaned and organized data for easy access and created attractive visualizations to facilitate insightful decision-making.
A dynamic and interactive dashboard designed to analyze key metrics and performance trends in T20 cricket. This project showcases the ability to visualize player statistics, and audience insights using advanced data visualization tools. Ideal for enthusiasts, analysts, and professionals in the sports domain.
A comprehensive data analysis project leveraging Python to explore the impact of COVID-19 globally. This project includes data cleaning, trends, recovery rates, and mortality analysis. Key insights are derived using libraries like Pandas, Matplotlib, and Seaborn, highlighting patterns and correlations in the pandemic's progression.
An insightful project combining SQL and Excel to analyze sales data for an e-commerce platform. The analysis covers revenue trends, customer behavior, product performance, and regional sales distribution. SQL is used for data extraction and transformation, while Excel is utilized for visualization and reporting, providing actionable insights to drive business decisions.
Below are the details to reach out to me!
Ahmedabad, Gujarat, India