Manoj Kumar Bejugama

Eager to contribute to team success through hard work, attention to detail and excellent organizational skills. Clear understanding of Data Analysis and Data Visualization . Motivated to learn, grow and excel in field of Data Science.

• Face Mask Classification : Created a keras model using deep learning techniques to classify whether a given or captured image is with a mask or not(face) and achieved an accuracy of 99 % in training and 92 % in testing data.
• Correlation of a Travel domain dataset using RLab tool : Analyzed travel data set from kaggle.com using correlation techniques to find the utilization rates of the transport system (train, plane) and recommend the mode of travel based on fare rates.
• Number Plate Recognition at Toll Booth : Used Image processing technique such as Optical Character Recognition Algorithm (OCR) which helps in identifying vehicles. The system is implemented and simulated in openCV and its performance is tested on a real image to classify vehicles into toll and non-toll category .
• Disease Prediction System : Developed an intelligent health care system using machine learning model i.e K nearest neighbors algorithm, where the patient is recommended the best choice of physicians according to their health symptoms.
• Facial Emotion Recognition System : Created a human emotion capture system using Haar cascade and Local binary pattern histogram equalization algorithms for face detection and recognition using Tensor flow, Scikit libraries in python. This process has measured human emotions with 97% training and 93% testing accuracy.
• Smart Heating Gloves: Designed heat generating gloves using mesh wiring and thermostat inside the cloth which is attached to a small battery to keep hands warm in winter and regulate the temperature.

Certified Data Science Engineer, TalentSprint