Shyam Sundhar Yathirajam

Master's

Computer Science

Ally Financial

Data Scientist

- Worked in Agile environments to deliver iterative solutions and adapt to changing project requirements - Conducted hypothesis tests to evaluate the significance of relationships between variables and make data-driven decisions - Employed ggplot2, a data visualization package in R, to create elegant and customizable graphics based on the grammar of graphics - Utilized machine learning algorithms such as linear regression, multivariate regression, Naive Bayes, Random Forests, K-means, & KNN - Used AWS S3, DynamoDB, AWS lambda, AWS EC2 for data storage and models' deployment - Created and maintained reports to display the status and performance of the deployed model and algorithm with Tableau - Implemented, tuned, and deployed machine learning models using AWS Lambda and SageMaker - Worked with CI/CD pipelines to ensure seamless deployment of machine learning models - Integrated machine learning models with RESTful APIs for real-time predictions - Implemented, tuned, and tested the model on AWS Lambda with the best-performing algorithm and parameters - Identified and assessed available machine learning and statistical analysis libraries (including regressors, classifiers, statistical tests, and clustering algorithms - Worked with the NLTK library on NLP data processing and finding patterns - Created customized SQL Queries using MS SQL Management Studio to pull specified data for analysis and report building in conjunction - Implemented deep learning using TensorFlow to create word semantic representations of customer data - Performed data cleaning and feature selection using the MLLib package in Spark and working with deep learning frameworks such as - TensorFlow - Utilized Google BigQuery for advanced data analysis and data pipelines and handling datasets with large records in cloud environment