Data Science Consultant
CurrentAdvanced Transportation and Service Enhancement Project – Tools used: Python and Excel- ID Verification and Image Preprocessing: Utilizing OpenCV for comprehensive image preprocessing techniques such as normalization, orientation correction, cropping, alignment, and noise reduction to ensure high-quality ID verification.- Fraud Detection through Text Extraction: Employing Optical Character Recognition (OCR) tools like EasyOCR and Tesseract, combined with Natural Language Processing (NLP), to efficiently convert unstructured text into structured data for reliable fraud detection.- Innovative Chatbot Engine Development: Developing a cutting-edge chatbot using LangChain Chat, integrating document handling, text splitting, vector storage, embeddings, retrieval mechanisms, and prompt engineering with Large Language Models (LLM) for enhanced user interaction and support.Luxury Watch Market Analysis Project – Tools used: Python, Excel, and AWS- Web Scraping for Data Acquisition: Leveraged Beautiful Soup and Selenium to meticulously extract key data points from luxury watch manufacturer websites, ensuring a comprehensive dataset.- Advanced Image Processing: Utilized a suite of tools including Pillow (PIL), OpenCV (cv2), and additional libraries for image enhancement and processing, facilitating better visual data representation.- Data Collection and Analysis: Employed regular expression (re), Matplotlib, and Seaborn for sophisticated data cleaning, missing value imputation, and insightful data visualization, enhancing data quality and interpretability.
