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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.
View ProjectSANTA-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.
View ProjectNASDAQ-STOCK-MARKET-CLUSTERING
July 18, 2020 – December 19, 2020
NASDAQ Stock Marketing Clustering using K-Means Clustering
View ProjectWine-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.
View ProjectTIC-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
View ProjectCredit-Card-Fraud-Detection
July 12, 2020 – July 16, 2020
Built a Credit Card Fraud Detection system using Logistic Regression and Random Forest Classifier
View ProjectCustomer-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.
View ProjectLinear-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
View ProjectGradient-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
View ProjectSpam-Detection-using-Naive-Bayes
July 7, 2020 – July 13, 2020
SMS Spam Detection using Multinomial Naive Bayes Classifier
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong interest in data science and machine learning, aligning with the target role. The diversity of personal projects (computer vision, NLP, classical ML, clustering) suggests a broad curiosity and willingness to explore different domains. However, the lack of team projects or professional experience makes it difficult to assess collaboration or cultural integration in a team setting. The experience level of 0 indicates a significant mismatch for a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive learning approach and an interest in exploring different machine learning paradigms. However, without psychometric or English test scores, it is difficult to assess soft skills like communication, teamwork, or stress handling. The experience level is listed as 0, which suggests this is an entry-level candidate, not a senior one, impacting operational fit for a senior role.