VINIL JOSEPH

I'm a Petroleum Engineer turned Data Science enthusiast with a passion for leveraging data-driven insights to optimize processes and drive innovation. My background in engineering, combined with strong analytical skills, has fueled my transition into the world of data science, where I excel in transforming raw data into actionable insights. I am proficient in Python, SQL, and data analysis tools like Pandas, NumPy, and Advanced Excel. My expertise includes data preprocessing, feature engineering, and exploratory data analysis (EDA). Additionally, I am skilled in using Power BI and Tableau for visualization, as well as applying statistical techniques, linear algebra, and machine learning algorithms for predictive modeling and problem-solving. I specialize in time series forecasting, recommendation systems, and deep learning models such as ANN, CNN, and RNN. With hands-on experience in NLP, model training, and deployment via AWS, I am eager to continue driving impactful results by implementing scalable data solutions across industries.