17+ years of experience and results-oriented SCM Analyst with a proven track record of driving cost savings by 10% and reduction in inventory by 10% through process improvements. Skilled in analyzing spending data, negotiating contracts, and implementing efficient procurement, Logistics, and Storage systems. Adept at identifying cost savings opportunities, improving supplier performance, and streamlining purchasing processes to deliver significant financial impact and operational efficiency.
Project 1: Market Basket Analysis
Domain: Retail
Problem Statement: As a new manager in the company, you are assigned the task of increasing cross selling
Topics: Association Rule Mining, Data Extraction, Data Manipulation, Apriori Algorithms
Project 2: Customer Churn Analysis
Domain: Telecom
Problem Statement: As a new manager in the company, you are assigned the task to find the reason of customer churn.
Topics: Data Analysis, Data pre-processing, Cleaning, Data Visualization, Python Language, Logistic Regression, Decision Tree Classifier, Random Forest Classifier, AdaBoost Classifier, Gradient Boosting Classifier, SVM, and XGB Classifier
Project 3: Customer Segmentation
Domain: Retail
Problem Statement: An online retail store is trying to understand the various customer purchase patterns for their firm; you are required to segment the customers based on their purchasing behavior.
Topics: Data Analysis, Data pre-processing, Cleaning, Data Visualization, Python Language, K-Mean clustering, RFM technique
Project 4: Recommendation system
Domain: Retail
Problem Statement: Recommender systems are tools that aim to get the user's rating and then recommend the movies from a big set of data on the basis of the users matching interest and then classify them into different categories.
Topics: Collaborative filtering, Content based filtering, Context based filtering, Data Analysis, Data pre-processing, Cleaning, Data Visualization, Python Language, KNN, K-means
Project 5: Sentiment Analysis
Domain: Retail
Problem Statement: You are working in an e-commerce company, and your company has put forward a task to analyze the customer reviews for various products. You are supposed to create a report that classifies the products based on the customer reviews. Perform sentiment analysis on the reviews data, and classify the reviews based on the sentiment associated with the same.
Topics: Text cleaning, Text vectorization, Stemming, Lemmatization, Stop word & punctuation marks removal, Logistics Regression, Decision Tree, Random forest, XG Boost.
Project 6: Stores Sales Forecasting
Domain: Retail
Problem Statement: A retail store that has multiple outlets across the country is facing issues in managing the inventory - to match the demand with respect to supply. You are a data scientist, who has to come up with useful insights using the data and make prediction models to forecast the sales for X number of months/years.
Topics: Data Analysis, Data pre-processing, Cleaning, Data Visualization, Python Language, Linear Regression, Polynomial Regression, Ridge, Lasso, Elastinet, MLP Regressor, Decision Tree, Random Forest, Gradient Boosting, SVR, and XGBoost.