Suresh M Email and Phone Number

Heading Data Science team and Creating solutions that can create impact to people lives.Responsible for Ai/ML delivery and product or solutions from the Business Unit.

Developed end-to-end machine learning prototypes and scaled them to run in different business production units. Increased efficiency by 95%.Provided automated self service tool that team can use for future backlog processing and extract data from complex XML file on regular basis.Applied combination of techniques in Risk Analytics to analyse Shell counter parties data and demonstrated Potential Savings of $258m a year.Conducted data cleaning, imputed missing values, created new features, and identified significant parameters which indicate loss in efficiency of the boiler.Built a machine-learning-based system that can identify and classify the boiler defects in a refinery, Which increased the overall productivity to 97% and cut unnecessary costs.Performed various sampling methods on highly imbalanced data and increased Correlation Coefficient of boiler failure prediction by 0.08 .

Created a machine learning model that is able to predict the patients with diabetes with highest risk of being readmitted within 30 days.The model was able to catch 58% of the readmissions and is about 1.5 times better than just randomly picking patients. Which helps UK healthcare to reduce their Hospital Reimbursement spent on diabetic patients from $41 billon to $24 billion per year.Collaborated with the Clinical Operations Department and developed Classification Model like Logistic regression model, Random forest model to find out whether the claim will deny or not with 98% accuracy. The models built using SQL, Python-Sklearn.Increased the Productivity and Efficiency by 73% and cut costs by $600K.Implemented high accuracy machine learning model to predict the forecasting of appeal cases that will be coming in future for claims being reviewed by clinical team in order to plan inventory management in advance.The model built by using python and sklearn. Generated forecasts for 12 months with the methods like Moving Average, Exponential Smoothing, and ARIMA using Python Language.

Performing testing activities by using the applications like CAPS, Facets, managing defects in tool- Rally. Analyzing User Requirements by reading all the documents and understand what and how needs to be tested. Develop test cases and prioritize testing activities. Execute all the test cases and report defects, define severity and priority for each defect. Carry-out regression testing every time when changes are made to the code to fix the defects. Defect Tracking.