Employing exploratory data analysis techniques to reveal actionable insights and meaningful patterns. Analyzing statistical data, importing data from multiple sources, joining datasets, cleaning & preprocessing, data wrangling and visualizations. Managing structured and unstructured data preprocessing. Collaborating with cross-functional teams to develop data models for decision-making, resulting in sustainable growth for the organization. Utilizing advanced algorithms to identify trends and… Show more Employing exploratory data analysis techniques to reveal actionable insights and meaningful patterns. Analyzing statistical data, importing data from multiple sources, joining datasets, cleaning & preprocessing, data wrangling and visualizations. Managing structured and unstructured data preprocessing. Collaborating with cross-functional teams to develop data models for decision-making, resulting in sustainable growth for the organization. Utilizing advanced algorithms to identify trends and optimize performance, leading to improved business outcomes. Performed the full range of advanced analytics and visualization methodologies, techniques, and outputs associated with the area of expertise. Developed NLP model for Document classification. Used Hyperparameter Tuning for increasing the performance and then various results were compared at the end using a table. Conducted an in-depth analysis of sales and developed a forecasting model as a key component of an internal project using Python. Utilizing feature engineering techniques and exponential moving averages, achieved a forecasting accuracy of approximately 86%. Show less

Cleaned and analysed the raw Stent data using various Machine learning algorithms and built an app which determines whether the patient survives or not after undergoing Stent surgery with the help of R shiny