Focus : Data-Driven Decision Making, Economic Analysis
Specifications : Data Analysis, Market Analysis
Skills
Python Programming, Microsoft Excel, Django, Data Analysis, Market Analysis, Communication, Teamwork, Decision Making,Languages
Hindi, English, French,Hobbies
Data Science, Economics, Programming, Reading, Fitness, Learning
Summary
Ambitious and detail-oriented Data Analyst with a strong background in economics and over two years of hands-on experience in data-driven decision making. Skilled in Python, R, and SQL with a proven track record of leveraging data analysis to provide insightful business solutions. Adept at conducting comprehensive market analysis and enhancing operational efficiency. Eager to contribute to a dynamic team to drive business success.
Employment History
Market Analysis (Summer Intern) , Future Algorithms Private Limited
Conducted in-depth market analysis, studying customer behavior and competitive landscapes. Collaborated with a team to enhance strategic planning through improved understanding of market dynamics. Gained valuable real-world insights and refined analytical skills.
Education History
Internships
Conducted in-depth market segmentation and competitor analysis.
Analyzed customer feedback and sales data to identify key market trends.
Evaluated digital marketing performance and developed content marketing strategies.
Performed SWOT analysis and assessed distribution channels for market expansion.
Analyzed brand positioning and refined customer segmentation.
Reviewed social media performance and website analytics to improve digital presence.
Developed customer retention strategies based on analytical insights.
Analyzed traffic safety data to identify patterns and inform safety improvements.
Worked with a team to drive strategic decisions through advanced data analytics.
Enhanced analytical skills, applying data science to solve real-world Problems.
Conducted in-depth market analysis, studying customer behavior and competitive landscapes.
Collaborated with a team to enhance strategic planning through improved understanding of market dynamics.
Gained valuable real-world insights and refined analytical skills.
Projects
The Sole Shopper project is a straightforward shopping application that runs on a console interface. Its purpose is to
allow users to choose and buy shoes from three popular brands: Nike, Adidas, and Puma. Users have the ability to
add shoes to their virtual shopping cart, remove items from the cart, generate a bill with the total cost, and complete
the payment process using UPI.
The "Make in India Policy" project is a sophisticated data analytics initiative designed to analyze the economic
impact of the "Make in India" policy. Utilizing the Django framework, this project provides a detailed examination
of various economic indicators, shedding light on India's economic changes and sectoral developments.