ABHINAV SINGH

Motivated Chemical Engineer and seasoned Banking Professional with B.Tech in Chemical Engineering and a successful 4-year tenure in commercial banking and mortgage management at prominent MNC Bank. Specialized in financial analysis, adept at extending loans and advances to retail businesses. Recently completed an intensive one-year course in Data Analytics and Data Science, showcasing proficiency in R, Tableau, Python, and various analytics models. Eager to transition into the Analytics & Data Science Industry, leveraging a robust background in engineering, finance, and cutting-edge data skills. Seeking a challenging role to apply analytical acumen, statistical expertise, and strategic decision-making to drive impactful business insights and innovation

Analyzed historical sales data of a company. Developed multiple forecast models (Winter-Holts, ARIMA) and recommended the optimum one to predict sales for the next 2 years. • Text mining was conducted on a dataset of Shark tank episodes with 495 entrepreneurs making their pitch to VC's. Multiple models (CART, Random Forest, Logistic Regression) were built to predict keywords which have an impact on striking a deal. • Analyzed the employee database of a firm with around 500 employees. Built a Machine learning model that best explained the employee's decision to use a specific medium as his/ her main means of transport. • Art House Sales-The project investigates the factors that cause employee attrition in organizations. An employee attrition model was built using moderate neural network model and random forest. After generating common performance parameters for both the models, an ensemble model was created that identified the cause of employee attrition. • Project explored the art of problem-solving with the aid of visual analytics. Tableau’s data visualization tools were used to create interactive dashboards to uncover hidden insights to identify the performance of an Art Auction House in terms of profitability and sales. • Successful completion of Capstone Project which involves real Federal Mortgage data to analyse which predictors decide the delinquent from the non-delinquent loans.

Detailed work & projects handled-https://eportfolio.greatlearning.in/abhinav-singh