These are some of my Deep Learning, Machine Learning and Data Science Projects. More of them can be seen on my GitHub account

December 9, 2021

Project-1 : E-commerce Shipping

Aim of the Project : To build an End-to-End Web App using Data Science & Machine Learning for an International E-commerce Company to predict whether their products will reach on committed Delivery Time or not. Life Cycle of the Project : Collected the dataset from Kaggle Preprocessed the data well and built an ML model by tuning the Hyperparameters of Random-Forest Classifier using Randomized-Search-CV Saved the Best Performing model in a Pickle file Built a Web App using Python at the Backend with Flask API and HTML & Bootstrap serving at the Frontend.

November 9, 2021

Project-2: Face-Mask-Detection

Aim of the Project To build a Web App using Deep Convolutional Neural Networks to predict whether a person is Wearing a Mask or Not Life Cycle of the Project Collected the dataset from Kaggle which contained 12,000 images in total for both the classes Used Data Augmentation to generate extra data from the existing dataset Applied Transfer Learning using Pre-trained VGG16 model and built a High Performance Custom CNN Model providing an Accuracy of 99.

October 9, 2021

Project-3: Customer Churn Prediction

Aim of the Project : To predict, analyze and provide the counter measures to prevent the customers’ from Churning. Build a Model to predict the Customers’ likely to be churned using Data Science, and Machine Learning Applications. Business Understanding : The data used to build a Customer Churn Prediction Model, consists of data related Telecom domain, and their behavioral trends w.r.t. Churning across 4 years of time span. Life Cycle of the Project: Extracted the data from Kaggle open source.