Data Science Consultant
Current- Built a RAG Chatbot with a parameters and reference tuneable user interface. - Developed and implemented end-to-end machine learning pipelines, integrating advanced feature engineering techniques and meticulously fine-tuning hyperparameters to optimize model performance.- Proficiently trained machine learning models employing a diverse array of algorithms, including Logistic Regression, XGBoost, and Stacking, leveraging their unique strengths to achieve superior predictive accuracy and generalization.- Spearheaded Extract, Transform, Load (ETL) processes, seamlessly orchestrating data acquisition from various sources such as AWS S3, APIs, and websites.- Leveraged advanced visualization tools such as Tableau and Quicksight to create insightful and interactive dashboards, facilitating intuitive data exploration and empowering stakeholders with actionable insights to drive strategic decision-making processes.- Developed and implemented web scraping algorithms using Python, BeautifulSoup and Selenium to collect data from diverse online sources, including e-commerce websites, and news outlets.- Collaborated with data engineering teams using Airflow to integrate scraped data into centralized databases for further analysis and reporting.
