Sumbul Yamin

Detail-oriented, organized and meticulous employee. Works at fast pace to meet tight deadlines. Enthusiastic team player ready to contribute to company success. Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals.

Top Five Projects in Data Science

Project 1: Statistical & Probabilistic Analysis of Store Sales, University Survey, & Manufacturing data

Course Statistical Methods for Decision Making

The project involved drawing inferences from 3 case studies, namely - Wholesale Customer Data (Store Sales), University Survey Data & Manufacturing Shingles Data. The concepts of various measures of Descriptive Statistics, Probability and Probability Distributions, and various Estimation & Hypothesis Testing measures are used to analyze these case studies.

Skills and Tools

Descriptive Statistics, Probability, Estimation, Hypothesis Testing

Project 2: Bank Customer Segmentation and Insurance Claim Prediction

Course Data Mining

The project involved drawing inferences from 2 case studies, namely - Bank Marketing & Insurance. The concepts of Clustering, CART, Random Forest, Artificial Neural Network are used to draw inferences from these case studies. Various performance metrics have been used to validate the performance of predictions on Test & Train sets.

Skills and Tools

Clustering, CART, Random Forest, Artificial Neural Networks

Project 3: Gems & Holiday Package Prediction

Course Predictive Modeling

This project is based on 2 cases studies : Gems Price Prediction and Holiday Package prediction. In the first case study, concepts of linear regression are tested and it is expected from the learner to predict the price of gems based on multiple variables to help company maximize profits. In the second case, concepts of logistic regression and linear discriminant analysis are tested. One has to predict if the customer will purchase the holiday package to target the relevant customer base.

Skills and Tools

Linear Regression, Logistic Regression, Linear discriminant Analysis

Project 4: Election Exit Poll Prediction and U.S.A Presidential Speech Analysis using Machine Learning

Course Machine Learning

This project is based on 2 case-studies: Vote Prediction and Text Analysis. The first project is to predict which party a citizen is going to vote for on the basis of their age and according to the answers given by the citizens to the questions asked in a survey conducted. The second project is based on the analysis of the inaugural U.S.A. Presidential speeches. One has to draw inferences based on the analysis done on these speeches.

Skills and Tools

Text Mining Analytics, Support Vector Machine - K Nearest Neighbour - Naive Bayes, Ensemble Techniques, Logistic Regression - Linear Discriminant

Project 5 : Forecasting Wine Sales for ABC Estate Wines company

Course Time Series Forecasting

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.

Skills and Tools
Exploratory Data Analysis for Time Series Data, Exponential Smoothing Models, ARIMA/SARIMA Models, Moving Average Models