Focus : Growth and Development, Operations, Economics, Finance, Policy Analyst, Data Analyst
Specifications : Economics, Data Analytics
Skills
Technical Skills: Microsoft Excel, Python, R-Script, SQL, Machine Learning Model Development, Data Collection and Analysis, Econometrics, statistical software (e.g., STATA, E-Views, R, or Python),Economic research, • Soft Skills: Analytical Thinking, Strategizing, Problem Solving, Leadership, Teamwork, Communication and Presentation skills.,Languages
English, Hindi, Marathi,Hobbies
1.Sports Enthusiast: Passionate about Volleyball, 8-Ball Pool, and Table Tennis, regularly participating in matches and tournaments. •2.Digital Artist: I enjoy creating art and designs digitally, experimenting with different styles and techniques.
Summary
Seeking a challenging work-study opportunity to enhance my skills in economics and data analytics. With expertise in econometrics, machine learning, and statistical modeling, I aim to derive actionable insights from complex datasets and effectively communicate results to drive informed decision-making in economic and business contexts.
Employment History
Finance Intern , IFTAS (RBI Subsidiary), Mumbai
- Conducted comprehensive financial data analysis for both the procurement and growth departments.
- Developed interactive dashboards to present analyzed data to the Manager and VP of Finance and Accounts department.
- Processed payment entries with precision and accuracy, ensuring meticulous financial record-keeping.
- Managed procurement contracts, identifying key terms, obligations, and expiration dates.
- Streamlined contract management processes, reducing risks and improving efficiency.
AI/ML Intern , GPIT, Nagpur
- Developed an NLP-based model to process user prompts, analyze data, and generate visualizations.
- Integrated PandasAI and OpenAI API for advanced data processing and natural language interpretation.
- Cleaned, preprocessed, and analyzed large datasets, ensuring data accuracy and reliability for machine learning models and statistical analysis.
- Collaborated with teams to design surveys aimed at gathering valuable insights for organizational improvement.
- Built predictive machine learning models using techniques like Support Vector Machines, Decision Tree improving decision-making accuracy.
- Conducted extensive research on AI tools
Education History
Internships
- Conducted comprehensive financial data analysis for both the procurement and growth departments.
- Developed interactive dashboards to present analyzed data to the Manager and VP of Finance and Accounts department.
- Processed payment entries with precision and accuracy, ensuring meticulous financial record-keeping.
- Managed procurement contracts, identifying key terms, obligations, and expiration dates.
- Streamlined contract management processes, reducing risks and improving efficiency.
- Developed an NLP-based model to process user prompts, analyze data, and generate visualizations.
- Integrated PandasAI and OpenAI API for advanced data processing and natural language interpretation.
- Cleaned, preprocessed, and analyzed large datasets, ensuring data accuracy and reliability for machine learning models and statistical analysis.
- Collaborated with teams to design surveys aimed at gathering valuable insights for organizational improvement.
- Built predictive machine learning models using techniques like Support Vector Machines, Decision Tree improving decision-making accuracy.
- Conducted extensive research on AI tools
Projects
Predictive and forecasting analysis of economic freedom across countries using cross-sectional and time-series datasets. The project utilizes machine learning models to assess freedom indices and forecast future trends.
Data-driven analysis of crime patterns in India, employing statistical and data analytics techniques to identify trends, hotspots, and correlations among various crime types over time.
Data collection and analysis of final-year students' feedback to evaluate the effectiveness of the placement cell. The project includes hypothesis testing and statistical inference to determine the program's success.
Developed a Natural Language Processing (NLP) model to interpret user prompts, analyze datasets, and generate visualizations. Integrated PandasAI and OpenAI API to enhance the model's capabilities, enabling it to handle complex queries and generate accurate insights. Created a user-friendly interface using Tkinter, allowing non-technical users to interact with the model and access data-driven visualizations. Worked extensively with Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualization.