Focus : Data Analyst, Operation Research Analyst
Specifications : Mathematics, Statistics
Skills
Programming Languages: Python, R for analytics, Java, Analytics : Machine Learning, Data Analysis, Data Visualisation , Power BI, Statistical Software: Stata, EViews, Database Management: MySQL, Applied Econometrics, MS Office Suite: MS Excel, MS Word, MS PowerPoint, Programming Languages: Python, R for analytics, Java, Problem Solving,Languages
English, Hindi, Marathi,Hobbies
Badminton, Cricket, Mathematics
Summary
As a proactive B.Sc. Economics and Analytics student, I bring a keen eye for detail and a commitment to excellence in data analysis. With a solid grounding in econometrics, statistics, and Python, I am poised to tackle multifaceted challenges and deliver actionable insights that drive business growth.
Employment History
Intern , Jio Platforms Limited
During my internship at Jio Platforms Limited, I worked on the Jio Fiber Plus setup box, focusing on system setup, manual testing, and data validation. I collected and analyzed performance metrics, including app launch times and crash events. After cleaning and structuring large datasets, I developed Key Performance Indicators (KPIs) to assess app performance.I also created data visualizations using Excel, Power BI, and Python to highlight key trends. A key task involved analyzing a streaming app with stability issues post-update, where I identified increased crash rates and reduced user engagement. My recommendations for improving app stability were based on this analysis. The experience deepened my skills in data analysis, KPI development, and performance optimization.
Data Analysis and Visualization , Jio Platforms Limited
During my internship at Jio Platforms Limited, I worked on the Jio Fiber Plus setup box, focusing on system setup, manual testing, and data validation. I collected and analyzed performance metrics, including app launch times and crash events. After cleaning and structuring large datasets, I developed Key Performance Indicators (KPIs) to assess app performance.I also created data visualizations using Excel, Power BI, and Python to highlight key trends. A key task involved analyzing a streaming app with stability issues post-update, where I identified increased crash rates and reduced user engagement. My recommendations for improving app stability were based on this analysis. The experience deepened my skills in data analysis, KPI development, and performance optimization.
Education History
Internships
During my internship at Jio Platforms Limited, I worked on the Jio Fiber Plus setup box, focusing on system setup, manual testing, and data validation. I collected and analyzed performance metrics, including app launch times and crash events. After cleaning and structuring large datasets, I developed Key Performance Indicators (KPIs) to assess app performance.I also created data visualizations using Excel, Power BI, and Python to highlight key trends. A key task involved analyzing a streaming app with stability issues post-update, where I identified increased crash rates and reduced user engagement. My recommendations for improving app stability were based on this analysis. The experience deepened my skills in data analysis, KPI development, and performance optimization.
Projects
This fitness tracker application enables users to log and monitor their fitness activities, nutrition intake, set goals, and track progress. Built using Python and MySQL, the system allows users to input various data points such as activity duration, food intake, and fitness goals. The application features a menu-driven interface and robust database management for storing and retrieving user information. It provides a comprehensive solution for tracking health metrics, offering insights into calories burned, nutrition details, and fitness progress.
4o
This project focuses on forecasting Microsoft's stock prices using machine learning techniques. Historical data from 2020 to 2024 was preprocessed using PCA, data standardization, and normalization. Key models, including ARIMA for time series forecasting, along with Random Forest, GBM, and SVM, were employed. GridSearchCV was used for hyperparameter optimization, ensuring the models captured complex patterns in stock price movements. The ARIMA model was selected as the best performer, providing actionable insights for future stock price predictions(ML).
Analyzed and predicted NBA player performance using data science techniques. Developed regression models such as Random Forest and Gradient Boosting for prediction, and dimensionality reduction using PCA.
Created an Excel-based project to delve into the mechanics of the Gradient Descent algorithm to understand its functionality and optimization process. Gained insights into iterative optimization techniques used in machine learning algorithms
Utilized Python for comprehensive analysis of Customer Relationship Management (CRM) data..Conducted data collection and cleaning and applied machine learning techniques to extract insights. Focused on enhancing CRM strategies through the visualization of patterns and trends