I am an accomplished engineering professional with a wealth of experience spanning over 7+ years in the dynamic realms of Data Analysis, Data Science, Machine Learning, and NLP. Proficient in Python, SQL, GIT, and Power BI, I have a proven track record of excelling in fast-paced environments as a Data Scientist. My expertise encompasses a wide spectrum of Machine Learning techniques, including Supervised and Unsupervised algorithms, Clustering, Classification, PCA, K-means, SVM, Random Forest, Tensorflow, and Keras. I've been deeply involved in all stages of data processing, from data collection and modeling to statistical analysis, unearthing valuable insights from complex datasets. My AI journey includes developing NLP models and crafting innovative data algorithms to extract targeted information through web scraping from the US EDGAR filings portal. I've automated tabular data extraction and database storage with Python scripting, including the collection of pricing data from various aggregators for competitive analysis. With a strong background in model development, validation, testing, and implementation of Analytical Products and Applications, I've even contributed to Credit Risk Analytics by creating a Machine Learning model for a banking firm. My expertise extends to developing, training, and evaluating Supervised and Unsupervised learning models in Python for Regression, Classification, Clustering, and Anomaly detection. If you're seeking a seasoned Data Scientist with a penchant for tackling complex challenges and delivering data-driven solutions, let's connect and embark on exciting endeavors together.