Course: Market Research Analysis – Part A (Sep 2024) This project aims to find the underlying buying patterns of the customers of an automobile part manufacturer based on the past 3 years of the Company’s transaction data and hence recommend customized marketing strategies for different segments of customers. Deliverables: Business Report Recency Frequency and Monetory […]
Course: Data Visualization using Tableau (Aug 2024) Gamers’ Arena is a website that provides information about video games to its users by tracking the games that have been released and their sales across various platforms and genres. It has now implemented a feature that allows gamers to subscribe on a monthly basis. They can play […]
Course: Time Series Forecasting (Aug 2024) Analyzed historical monthly sales data of a company. Created multiple forecast models for two different products of a particular Wine Estate and recommended the optimum forecasting model to predict monthly sales for the next 12 months along with appropriate lower and upper confidence limits. Deliverables: Python Notebook Gituhub: ABC […]
Course: Introduction to SQL (Jul 2024) New-Wheels sales have been dipping steadily in the past year and due to the critical customer feedback and ratings online, there is a drop in new customers every quarter, which is concerning. The data is not organized and is dumped as flat files only to be used occasionally. Your […]
Course: Unsupervised Learning (May 2024) Analyze the stocks data, grouping the stocks based on the attributes provided, and sharing insights about the characteristics of each group. Deliverables: Python Notebook Business Report Gituhub: Trade&Ahead – Unsupervised Learning
Course: Model Tuning (Apr 2024) “ReneWind” is a company working on improving the machinery/processes involved in the production of wind energy using machine learning and has collected data of generator failure of wind turbines using sensors. The objective is to build various classification models, tune them and find the best one that will help identify […]
Course: Ensemble Techniques (Mar 2024) Analyze the data of Visa applicants, build a predictive model to facilitate the process of visa approvals, and based on important factors that significantly influence the Visa status recommend a suitable profile for the applicants for whom the visa should be certified or denied. Deliverables: Python Notebook Gituhub: EasyVisa – […]
Course: Supervised Learning – Classification (Feb 2024) Analyze the data of INN Hotels to find which factors have a high influence on booking cancellations, build a predictive model that can predict which booking is going to be canceled in advance, and help in formulating profitable policies for cancellations and refunds. Deliverables: Python Notebook Gituhub: INN […]
Course: Supervised Learning – Foundations (Feb 2024) Analyze the used devices dataset, build a model which will help develop a dynamic pricing strategy for used and refurbished devices, and identify factors that significantly influence the price. Deliverables: Python Notebook Gituhub: ReCell – Supervised Learning – Regression
Course: Business Statistics (Jan 2024) This project used statistical analysis, a/b testing, and visualization to decide whether the new landing page of an online news portal (E-news Express) is effective enough to gather new subscribers or not. The simulated dataset has certain important metrics such as converted status and time spent on the page that […]