• Building a CNN classifier which predicts the users’ current depression level using their voice samples• Analyzing voice samples and finding insights to know more about the data and boosting the model performance

• Independently supervised class of 30-40 students and conducted work-shops on statistics and pipelining methods• Assisted students in data cleansing, feature selection and building and deploying ML models on the cloud

Development Experience:• Compiled, validated, reinforced and maintained compliance of the data with the corporate standards• Developed SQL queries, stored procedures, functions, and views to resonate our analysis with business requirements• Built ETL packages to automate the data transformation and load scheduling using SQL Server Integration Service (SSIS)• Visualized and spearheaded interactive dashboards to showcase on the client’s side for customer satisfaction• Developed & implemented new forecasting models using Linear Regression to increase the client’s productivity and profit• Participated in cross-functional team meetings with engineering and deployment team to assist deployment in productionBusiness Strategy and Planning Experience:• Participated and presented in the monthly CAB meetings with the clients discussing about the strategies and future planning• Held one to one meetings with the SME's to know more about the domain of the client and deeper analysis• Collaborated with different teams to make sure the changes made are pushed to the production on time• Resolved bugs and provided solutions to the end users