Focus : Data Analyst, Language Model Trainer
Specifications : Data Analysis, Machine Learning
Skills
Programming Languages: Python, R, Libraries and Tools: Sklearn, Pandas, Numpy, Seaborn, Matplolib, Git, Power BI, MS Excel, VS Code, Django (Basic), Stata, EViews, Other skills: ML, LLM, NLP, Econometrics, Soft skills: Data Interpretation, Logical Reasoning, Time management, Teamwork, Communication, Adaptability, Analytical Thinking,Languages
English, Hindi,Hobbies
Singing, Photography, Video editing, Reading
Summary
I am a third-year undergraduate student with a passion for data analysis and machine learning. I am looking for opportunities that will help me gain valuable experience in real world data analysis projects filled with challenges and learnings.
Employment History
Python Developer Intern , Zucol Services Private Limited
Worked on content extraction, AI-powered text analysis, and document processing.
- Created a script to scrape the educational documents using Python and Selenium.
- Converted HTML files into PDFs, ensuring accurate structure and format across multiple documents.
- Fine-tuned the T5-small model for paraphrasing tasks, enhancing the system’s content rephrasing capabilities.
- Trained a text classification model using DistilRoBERTa to detect AI-generated content, achieving 82% accuracy.
Education History
Internships
Worked on content extraction, AI-powered text analysis, and document processing.
• Created a script to scrape the educational documents using Python and Selenium.
• Converted HTML files into PDFs, ensuring accurate structure and format across multiple documents.
• Fine-tuned the T5-small model for paraphrasing tasks, enhancing the system’s content rephrasing capabilities.
• Trained a text classification model using DistilRoBERTa to detect AI-generated content, achieving 82% accuracy.
Assisted in business decisions by conducting market research and data organizing.
- Led research on cobalt suppliers and manufacturers, compiling and analyzing data to support business decisions and market expansion.
- Utilized Excel tools to optimize financial data management.
Projects
Developed temperature prediction models for Jaipur using Long Short-Term Memory (LSTM) networks.
- Implemented LSTM, and trained models on historical temperature data to predict trends for the upcoming seven days.
- Achieved a Mean Squared Error (MSE) of 0.126, reflecting the accuracy of predictions.
Created an app with a focus on intuitive user experience and efficient data management
- Built an app using Python’s Bottle framework for front-end design
- Integrated MySQL database for efficient data management, handling user login, registration
Created a system to streamline book record management using object-oriented programming principles.
- Developed using Python, to ensure efficient management of book records and transactions.
Implemented and visualized a gradient descent algorithm in Excel to optimize employee salary and experience data.
- Executed an optimization algorithm in Excel, iterating through 20 steps to enhance prediction accuracy