Focus : Corporate & Strategic Functions, Consulting
Specifications : Data Analysis, Machine Learning
Skills
Programming Languages: Python, R, Java Script, Quantitative Methods: Applied Econometrics, Regression/Time-series Analysis, Statistical Computing, Data Analysis Tools: SQL, Power BI, Excel, Selenuim (Web-Scrapping), Machine Learning: Model Building, Supervised and Un-Supervised learning, Hyperparameter Tuning, Database Management Tools: MySQL, MariaDB, Economics Tools: Stata, EViews, Soft Skills: Leadership, communication, Adaptibility, Curiosity and Creativity,Languages
English, Hindi, Punjabi,Hobbies
Gardening, Reading Books, Travelling, Exploring Cultures
Summary
Data-driven and analytical undergraduate with a robust background in economics and data analytics. Passionate about leveraging data, economic knowledge, and machine learning to address complex challenges and explore new projects for a sustainable future. Demonstrates strong creative and analytical skills, attention to detail, and teamwork. Eager to contribute to an organization that promotes positive societal change through innovative solutions.
Employment History
Data Analyst Intern , ERNST & YOUNG GLOBAL LIMITED
- Analyzed quantitative data on crime rates and socio-economic factors
- Identified patterns in crime data (location-based and seasonal trends)
- Presented actionable data insights to law enforcement agencies
- Extracted, interpreted, and presented data using PowerPoint
Financial Data Analyst Intern , TELIGENZ TECH SOLUTIONS
- Conducted web scraping, data modeling, and financial statement analysis
- Developed dashboards for tracking financial performance using Power BI
- Created a web page for public stock data
- Streamlined financial reporting via visualizations
- Analyzed NSE-listed companies' data, producing common-size financial statements and conducting horizontal and vertical analysis
Education History
Internships
- Analyzed quantitative data on crime rates and socio-economic factors
- Identified patterns in crime data (location-based and seasonal trends)
- Presented actionable data insights to law enforcement agencies
- Extracted, interpreted, and presented data using PowerPoint
- Conducted web scraping, data modeling, and financial statement analysis
- Developed dashboards for tracking financial performance using Power BI
- Created a web page for public stock data
- Streamlined financial reporting via visualizations
- Analyzed NSE-listed companies' data, producing common-size financial statements and conducting horizontal and vertical analysis
Projects
The lessons learned from the pandemic-driven inflation shock of recent years underscore the need for accurate and timely predictions to guide decision-making.
- Incorporated real-time data from sources like the FRED-MD and FRED-QD databases
- Employed ExtraTreeRegressor (ensembled learning) for model prediction, with R2
-score 0.98 - For predicting future values, implemented Auto ARIMA and VAR models
- 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
- Built with Django and leveraging data from data.gov.in's 2023 survey. - This project offers a comprehensive analysis of water landscapes in Kerala, Madhya Pradesh, Himachal Pradesh, and Uttarakhand. - Explore raw datasets, interactive visualizations, and detailed statistics