Ahteshaam Shaikh Email & Phone Number

Bengaluru, Karnataka, India

Developed a binary classification model of Logistic Regression, SVC and Random Forest Classifier to predict whether a customer will default on credit card payments or not.Performed EDA, Data Visualization and Feature Engineering on data for better modelperformance.Implemented SMOTE boosting technique to overcome the problem of class imbalance, carried out.

Developed a book recommendation system for amazon customers using memory and model based collaborative filtering by utilizing the description of book consumed and user interests.Implemented SVD based matrix factorization to obtain user_item interactions. Employed cosine distance to measure User-Item and Item-Item similarities. Created profiles for top.

Developed a binary classification model using Logistic Regression, Random Forest Classifier and Naive-Bayes Classifier to predict whether the policyholders from the past year will be intrigued with the Vehicle insurance provided by the company.Designed the data pipeline to work on and performed EDA on behalf of the need for thecross-selling model building.

Developed Linear Regression, XGBoost and Random Forest Regressors to predict the number of views of TED talk videos and reduced MAE to 0.2 million where target mean was around 2.6 million. Carried out feature engineering themed across speaker popularity, ted talk content, release day, popular topics, talk language and came up with the best performing.

Navi Mumbai, Maharashtra, India

Mumbai, Maharashtra, India