Focus : Economic and Financial Analysis
Specifications : Data analysis, Machine Learning
Skills
Programing Languages: Python, R, Database Management (MySQL), Analytics Tools: Machine Learning Algorithms, Data Visualization (Power BI), MS Excel, Streamlit, Gen AI: Fine Tuning LLMs, Prompt Engineering, Retrieval Augmented Generation, Econometrics, Statistics, Economic Analysis, Financial Analysis, Strata, EViews, Soft skills: Leadership, Communication, Problem Solving,Languages
English, Hindi,Hobbies
Reading, Organizing
Certificate
Summary
A highly motivated BSc Economics and Analytics student with hands-on experience in data analysis, economic analysis and machine learning. Strong communicator and problem solver, complemented by a diverse portfolio of projects ranging from predictive modeling to automating reconciliation process using LLM. Awarded Academic Excellence Merit Scholarship for Consistent Performance in Academics by CHRIST (Deemed to be University). Demonstrated leadership across multiple roles in college, including founding a student club, heading university events, and serving as a peer educator and student council member. Keen interest in fields of economic and financial research.
Employment History
Summer Intern , Hindustan Zinc Ltd.
Turn Around Time Benchmarking (Project):
- Analyzed Hindustan Zinc's business cycle data from January 2018 to June 2023
- Using central tendencies, identified bottlenecks for targeted process improvements
- Set the optimum number of days required to finish a business cycle
Education History
Internships
Automating Reconciliation Process (Project):
- Used Prompt Engineering on Cohere Command R Plus
- LLM took in the reconciliation exceptions file and investigation files as input and gave resolution of the exceptions as output
- LLM trained to understand structured data
- LLM was able to identify the type of exception and suggest a suitable resolution
- Created a Demo Application to show the process
Turn Around Time Benchmarking (Project):
- Analyzed Hindustan Zinc's business cycle data from January 2018 to June 2023
- Using central tendencies, identified bottlenecks for targeted process improvements
- Set the optimum number of days required to finish a business cycle
Projects
- Architected a dynamic database system that seamlessly integrates with a Python-based user interface
- Developed an intuitive navigation system that guides users through various functionalities
- Built dedicated staff login and functions for managing operations and ensuring data integrity
- Predicted Bank Rate using several independent economics variables
- Used Machine Learning Algorithms with Hyperparameter Tuning
- Data was taken from RBI’s Database of Indian Economy
- Built with Django and leveraging data from data.gov.in 2023 survey on water bodies
- This project offers a comprehensive analysis of water landscapes in Kerala, Madhya Pradesh, Himachal Pradesh, and Uttarakhand
- Explored raw datasets, interactive visualizations, and detailed statistics