Focus : Financial Analyst , Data Analyst , Market analyst , SEO
Specifications : Data Analysis and Visualization, Predictive Analysis
Skills
Creating Dashboards, SEO (Search Engine Optimization), Data Analysis, Financial Analysis, SQL, Econometrics,Languages
English, Hindi,Hobbies
Problem-solving games (chess, puzzle-solving), team sports (cricket, football), coding & Web development, content creation, photography , traveling.
Certificate
Summary
A proactive B.Sc. Economics & Analytics student. Expertise in Excel, Python, and business forecasting. Passionate about driving data-driven insights.
Education History
Internships
- Analyze financial statements, market trends, and key financial metrics to derive insights and support decision-making processes.
- Conduct detailed ratio analysis to assess the company's financial health, prepare comprehensive reports, and present findings to stakeholders.
- Develop models using Python, predict future stock prices, and generate accurate forecasts for the company’s financial performance.
- Manage and utilize the SAP ERP system for financial data management, ensuring data integrity and supporting financial analysis
- Conducted in-depth analysis of sugar cane purchase data using Python.
- Implemented advanced machine learning techniques to derive insights and optimize predictive models.
- Collaborated with domain experts, gaining valuable knowledge about sugar cane farming processes,transportation logistics, and historical trends.
- Developed an interactive and user-friendly dashboard for the company to monitor the variety of sugarcane purchased.
- Organized successful meet-ups and networking events, positioning Entrepreneur's Cafe as a valuable resource for entrepreneurs in the city.
- Handled social media accounts and created a comprehensive brochure, contributing to the growth and success of the organization and its members.
- Compiled and presented detailed reports for the annual global convention, and developed and executed a sponsorship strategy.
- Worked closely with city officials and community leaders to advocate for and promote entrepreneurship and innovation, helping to create a supportive environment.
- Executed a comprehensive SEO strategy, yielding a remarkable 55% increase in organic search traffic within six months.
- Conducted extensive keyword research and competitor analysis to inform on-page optimization and content strategy.
- Collaborated with the development team to implement technical SEO best practices, ensuring website compliance.
- Generated approximately 3000 backlinks for Healing Home Wellness, contributing to improved organic search rankings, increased website traffic, and a positive ROI for the client.
Projects
The aim of this project is to develop a machine learning model that accurately predicts flight
fares. The ability to predict flight fares can greatly benefit both travelers and airlines by
providing insights into pricing trends, allowing for better planning and budgeting. In this
report, we will explore the problem of flight fare prediction, the dataset used, the
methodology employed, and the results obtained.
The Student Management System is a comprehensive web-based application designed to streamline the administration and management of student information within an educational institution. The system allows administrators, teachers, and students to manage and access academic data efficiently.