Suresh R B. Email & Phone Number

Toronto, Ontario, Canada

• Developed Python code for processing images based on client’s requirements using the OpenCV-Python library and automated the pipeline for processing of images residing in one AWS S3 bucket and upload the processed.
• Implemented SQL queries to obtain a summary of the pricing history of client’s product and use the information to create a dashboard using the Python Dash library and Tableau. Twitter Sentiment Analysis:
• Demonstrated a machine learning pipeline where:
• Live tweets were extracted using Twitter API and processed using AWS Kinesis and stored in an S3 bucket.
• Exploratory Data Analysis (EDA) and Sentiment Analysis of the live tweets was performed on a Databricks platform using the Pyspark Machine learning library.
• The results of are stored in S3 bucket, tweet analysis data tables were created on Amazon Athena and tweet analysis dashboards were created using AWS QuickSight. Back Order Prediction:

Implemented successful management and delivery on data analysis projects for clients. Projects included SQL/NoSQL queries, datacleaning, changing data formats, removing duplicates, statistical modeling and dashboard development on Tableau. Demonstrated management of capstone machine learning projects for clients with corporate experience using Python.

Piscataway, NJ

Implemented data cleaning, imputation on raw clinical trial data using the SAS programming language. Developed SAS codes to convert raw clinical data into structured study data tables and analysis data tables based on studyrequirements. The structured data was used to determine if clinical trial drug was statistically significant improvement over existing.

Pittsburgh

• Developed a Python code for analyzing heart motion tracking data over time to detect motion anomalies and create a unique index for summarizing extent of motion abnormalities.
• Designed a method to cluster patient into groups based on extent of motion anomaly and develop prediction of disease states in specific clusters using Python Scitkit Learn Libraries.
• Implemented mathematical models of blood flow inside heart using Python and Fortran libraries. Statistical techniques were used to determine if blood flow patterns give new insights into the disease state of the.

• Trained students in numerical methods and data analysis using MATLAB.
• Developed programming modules in MATLAB to help students learn the mathematical models used to simulate cardiovascular system, artificial oxygenators, etc.

Cleveland, OH

• MODELING SURGICAL CONNECTION
• Performed computational and flow experiments on different models to determine the most optimal surgical connection to improve patient outcome.

Cleveland, OH

Designed experiments using statistical software to determine the efficacy of new and recycled phosphor coatings on fluorescent lamps and improve the overall coating process.

Applied Data Science And Big Data Program, Data Science, 3.0

Master Of Science - Ms, Biomedical/Medical Engineering

Master'S Degree, Chemical Engineering, 3.6