Resourceful Graduate Research Assistant passionate about advancing knowledge in Data Science through high-quality research. Self-motivated professional with excellent communication, planning and problem solving abilities.
Python , C, JavaScript, SQl, Machine Learning, Data Analysis, Time Series Analysis, GraphQL
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Emotion Recognition Using Speech Analysis (09/2019 - 03/2020)
Using Python and Neural Networks and Sound optimization libraries - Librosa and PyAudio.
Feature set - MFCC Coefficients.
Data Visualization -SEINET Cacti (04/2023 - 06/2023)
Used Python and JS along with frameworks like Kepler and machine learning to derive insights on the cacti.
Used OpenCV with clusters to extract the color spectrum of available Cacti.
Link: https://kiran-kodali-10.github.io/SEINet-Cactus/image
Young Data Scientists - Climate Connect Digital
Machine Learning Stanford University - Coursera