B Sachin Selvan

Exploratory Data Analysis - Segmented the dataset and drew unique insights, including visualization of the transaction volume and assessing the effect of any outliers.
Predictive Analytics - Explored correlations between customer attributes, built a regression and a decision-tree prediction model based on my findings.

To watch and analyze games such as American Football, Soccer, Volleyball, etc based on predefined parameters using the Hudl software.

The goal of the project was the Identification of authentic news from fake news from public information using NLP.
Exploratory Data Analysis - In my EDA I analyzed the title, text, and label columns of the data. Performed text statistics, word frequency, and n-gram analysis. Used Latent Dirichlet Allocation (LDA) model for topic modeling to compare fake and not fake news.
Modeling - I used a deep learning algorithm for fake news detection and compared some neural network architecture.

I was assigned to the Loan Risk project. Working with a team built an automated system for loan risk processing based on the various parameters as decided by the machine learning algorithm. My role was to improve the model and perform statistical analysis.