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implemented voice cloning application with RNN on real-time audio data and deployed on production environment with 95% accuracy. Tools used: Python, numpy, Tensorflow.

Optimized Neural Network with tuning parameters on reducing loss for more than 11%. Tools , Docker

Visualized several audio frequencies with their descriptive statistics and clustered them with K means clustering.

• Analysis of Spotify Data with track features and user
• Behaviors and created a recommendation system. Built up user profiling on K-means clustering and identified the user
• Similarity based on the correlation values on musical taste.
• Tested with SVM classifier gained 18% accuracy than baseline. Tools used: Python, numpy, pandas.

Voluntary researcher of Covid-19 testing of students at Clemson University.

Tools used: Python, SQL, R, AWS

• Built a Decision Tree classifier to predict the oncoming severity of mental conditions based on patient’s risk factor and medical history.

• Introduced a robust cross validation strategy accounting for reinfection of Covid-19 patients.

• Performed extensive data analysis of historical data and maintenance with python, spark, Jenkins, and SQL.
• Provided onsite training to clients for new products & facilitated the integration into their existing system.
• Executed database solutions with PostgreSQL, python deployed data pipelines in production environments, managed source code repositories, and generated quality control reports.