Alok Sonker

Created a state-of-the-art ML model using knowledge graphs and ML algorithms for detecting an early-stage diagnosis in patients suffering from chronic hypertension. Used knowledge graph embeddings and ML algorithms to create a risk score prediction model for hypertension in patients suffering from other chronic diseases. Experiment, build, and created a demo for a risk score prediction model. Literature survey for rPPG-based journals to create AI-powered video-based software that helps patients measure heart rate using a smartphone. Leveraged biomedical signal processing algorithms to overcome artifacts. Worked on deep learning and time series algorithms to achieve adequate result metrics. Collaborated with Oulu University Finland Ph.D. scholar for supervision and contribution. Created an in-house face video database of volunteers performing physical activities.

Automated the process of customer acquisition metrics and sales data flow into the google sheet to generate insights for stakeholders. Collaborated with the product team for events creation and analytics for every feature release. Created data visualization graphics, translating complex data sets into comprehensive visual representations.

Build a report on the analysis of the data of air quality of Delhi and the National Capital Regions and how the lockdown was decreasing the air quality index. Data on factors like industrial emissions and vehicular emissions in India were also included during the analysis.