Shalini Sharma

A Data Analytics Student with hands-on experience in machine learning, data mining, predictive modeling, data visualization, and business finance as a part of course work. Highly motivated to learn new things and excel in the field of data science.

Commercial Banking Virtual Experience Program in JPMorgan & Chase from Forage

Predictive Modeling Project - This project has two parts a) Computer-activ Project using Linear Regression which aims to predict the percentage time the computer remains in user mode. b) Women's contraceptive Project using Classification techniques to classify how many women use or not use contraceptive

Skills & Tools Covered

• Linear Regression
• Logistic Regression

Segmentation using Clustering and PCA - The data collected has many variables which makes it difficult to find useful details without using Data Science Techniques. The very first step is to perform EDA and then performing Clustering, PCA as per the requirements in the data. 1. Digital Marketing Advertisement Data Segmentation using clustering techniques. 2. Identifying Optimum Principal Components that explains the most variance in the Primary Census data.

Skills & Tools Covered

• EDA
• Visualization
• KMeans
• Hierarchical
• Cluster Profiling

Election Vote Prediction - The 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. Machine Learning techniques like Naive Bayes, KNN, and ensemble methods are used to draw inferences. Various performance metrics have been used to validate the performance of predictions on Test & Train sets. Also performed descriptive analysis based on the speeches by the election candidates.

Skills & Tools Covered

• Naive Bayes
• K-Nearest Neighbor
• Ensemble Techniques
• Text Mining
• Exploratory Data Analysis