Data Scientist with 4+ years of experience in data analysis and machine learning. Skilled in data pre-processing, feature engineering, and model evaluation. Seeking a Data Scientist/Machine Learning Engineer position to leverage my expertise in a data-driven organization.
Libraries: numpy, pandas, scikit-learn, matplotlib, seaborn, tensorflow, keras, nltk, opencv
An underwater imaging project sponsored by Naval Research Board (NRB) for enhancing underwater images for improving the visual perception quality of the image, detecting underwater objects and tracking underwater cables using image processing and machine learning techniques.
Implemented a machine learning pipeline for audio emotion recognition, utilizing Mel-Frequency Cepstral Coefficients (MFCCs) and ensemble models to extract relevant features and classify emotions.
Developed a machine learning-powered HRMS system incorporating predictive models for employee attrition and automated resume screening. Utilized Machine Learning algorithms and NLP techniques to improve HR processes and reduce manual workload.
Developed and implemented a CNN model for fine-grained dog breed classification from images. Optimized the CNN architecture and training process to achieve superior results and got an accuracy of 92%.
A simulation project done in MATLAB where speech classification was done based on various features extracted from human speech signals, like short term energy , zero crossing rate (ZCR) and linear predictive coefficients (LPC).
IEEE Publication, Proceedings of International Symposium on Ocean Technology, 2019 (1st author))
IEEE Publication, Proceedings of International Symposium on Ocean Technology, 2019 (Corresponding author)
IET Image Processing Journal (Corresponding author)