Committed job seeker with a track record of delivering consistent and organized practices to meet company needs. Proficient in thriving under pressure and adapting to new situations and challenges, ensuring optimal enhancement of the organizational brand.
Web Scraping
Developed a web scraping tool named Market Scraper to extract publicly available data from websites for competitor customer analysis. This tool gathered and analyzed customer reviews, product promotions, and market trends from e-commerce sites to assist businesses in enhancing their market strategies. The tool enabled automated data extraction, parsing, and analysis, while ensuring compliance with legal and privacy regulations. Implemented features like user management, CSV generation, and data visualization, allowing businesses to extract insights for strategic decision-making.,
Python, Beautiful Soup, Pandas, AWS DynamoDB, HTML, CSS, Java Script, AWS Lambda, AWS API Gateway, Matplotlib, Visual studio, Jupyter Notebook, PODMAN, AWS Amplify, Git, CI/CD Pipeline
Location Prediction on Twitter Using ML Techniques
Developed a machine learning model to predict user locations based on unstructured tweet data. Implemented feature extraction techniques to derive insights from tweet content, followed by data preprocessing to clean and refine Twitter location data. Split the data into training and testing sets, applying various machine learning models to predict locations. The model performance was evaluated using metrics such as accuracy, precision, recall, and F1 score. Additionally, histogram visualizations were created to represent the distribution of predicted locations, providing deeper insights into model predictions.,
Python, Pandas, Numpy, Matplotlib, Anaconda, Jupyter Notebook