Sai Krishna B

Data Scientist @Tmx Finance Family Of Companies

Savannah, GA, US

Performed Data Cleaning features scaling, features engineering using pandas and NumPy packages in Python. Designed and developed analytics, machine learning models and visualizations that drive performance and provide insights, from prototyping to production deployment and product recommendation and allocation planning. Utilized Azure Machine Learning (AML) to build, train, and deploy machine learning models at scale. Leveraged Apache Spark for distributed data processing to handle large-scale datasets across multiple sources. Involved working on different databases like XML. NoSQL and SQL of different platforms etc. Developed data solutions to support strategic initiatives, improve internal processes and assist with strategic decision­ making and design SWOT Analysis, used pandas, NumPy, sea born, SciPy matplotlib scikit-learn, NLTK in Python for developing various machine learning algorithms, Data Manipulation and Aggregation from different source using Nexus Toad, Business Objects Power Bl and Smart View. Programmed a utility in Python that used multiple packages (SciPy NumPy, Pandas), evaluated the performance of Various Classification and Regression algorithms using R language to predict the future power, Generated visualizations using Tableau and R-Shiny to present the findings on call center analytics. Utilized AWS services including S3 for data storage, EC2 for model training, and Redshift for high-performance data querying across large datasets. Automated data pipelines and batch processes using AWS Lambda and Step Functions, improving scalability and reducing manual intervention. Segmented the customers based on demographics using K-means Clustering, Designed and implemented end-to-end systems for Data Analytics and Automation, integrating custom visualization tools using R, Tableau, Power Bl.