Sornav

KIIT UNIVERSITY

Data Scientist

June 21, 2026 – Present

Driver-Drowsiness-Detector-using-Keras-OpenCv

December 18, 2020 – December 19, 2020

A Deep Learning model which uses the Convolutional Neural Network algorithm to detect whether the driver in a vehicle is drowsy or not,performed data augmentation on the training set and trained the model using CNN under different lightning conditions and used openCv along with Haar Cascade Classifier to detect the movements of the eye lids.

SANTA-OR-NOT_SANTA

July 23, 2020 – July 23, 2020

A Convolutional Neural Network Model that uses Transfer Learning to Classify whether the Image given as input is Santa's Image or Not.

NASDAQ-STOCK-MARKET-CLUSTERING

July 18, 2020 – December 19, 2020

NASDAQ Stock Marketing Clustering using K-Means Clustering

Wine-Quality-Classifier

July 14, 2020 – July 17, 2020

Wine Quality Classification using Random Forest Classifiers and K-Folds Cross Validation along with Artificial Neural Network on the wine-red data set.

TIC-TAC-TOE-WINNER-CLASSIFIER-

July 13, 2020 – July 13, 2020

Tic-Tac-Toe Winner classifier using Decision Trees and Random Forest on the Tic Tac End game data set

Credit-Card-Fraud-Detection

July 12, 2020 – July 16, 2020

Built a Credit Card Fraud Detection system using Logistic Regression and Random Forest Classifier

Customer-Sgementation-Using-K-Means

July 11, 2020 – July 16, 2020

Customer Segmentation using K-Means Clustering on the mall customer data set which I got from Kaggle,visualized and analyzed my data by using Plotly and used the SK learn K-Means Library as well my own implemented K-Means Function to Cluster the Customer into K groups.The number of groups was found out by using the classic elbow method.

Linear-Regression-Scratch-using-LSM-

July 8, 2020 – July 13, 2020

Implemented the Linear Regression model from scratch,without using any advanced library functions,this was specifically done by me,so as to the compare its Mean Squared Error with the earlier Linear Regression model which I did using Gradient Descent

Gradient-Descent-Scratch-LR-

July 8, 2020 – July 13, 2020

Here I have implemented the Linear Regression Algorithm from scratch,for minimizing the Cost Function I have used Gradient Descent Technique,using Gradient Descent I found out the best values of the parameters for which the cost function is minimized,by fitting these parameters in our equation of line,we get the best fit line.The Mean Squared Error is only 7.0 which is excellent

Spam-Detection-using-Naive-Bayes

July 7, 2020 – July 13, 2020

SMS Spam Detection using Multinomial Naive Bayes Classifier