Suchithra Balakrishnan Email & Phone Number

Boston, MA, US

• Supporting Enterprise Cyber Security team to build threat detection models
• Analyzing DevOps data to build predictive solutions for improving code quality
• Designing standards and governance best practices in Data Science and model deployment
• Mentoring and supporting Data Scientists and interns in the team
• Partnered with Anti-Money Laundering team and improved their ML model on detecting fraudulent transactions by 10%
• Developed a machine learning model to reduce false positive compliance alerts by 20%

Majadahonda, Community Of Madrid, ES

• Partnered with internal business units to build several predictive solutions with models like regression, decision trees and neural networks to improve fraud detection, claims handling and customer retention and.
• Organized and led the first deployment of REST API ML model using in-house MLOPS tool in AWS ecosystem
• Enhanced and upgraded existing models from SAS to AWS using services like EMR, Python, Athena, S3
• Tested and evaluated Data Science vendor products and presented the analysis to executive leadership
• Devised a streamlined processes for continuous monitoring of data drift and KPI, and communicated the results to the Data Science team and internal business units
• Mentored and trained junior members in the team

Majadahonda, Community Of Madrid, ES

• Created a streamlined script to extract text from thousands of scanned image PDFs in Python, to get key data points
• Developed Spacy NLP model to extract severity information from the claim description notes by representatives
• Developed streamlined data gathering projects in SAS, joining and cleaning hundreds of source system tables for claim handling and customer retention predictive models
• Developed continuous model monitoring and performance evaluation reports in Python, SAS and Excel, and communicate the results to the Data Science team and internal business units on monthly/quarterly basis

Boston, MA, US

• Developed anomaly detection model in R to enable proactive triaging of existing model drivers
• Formulated AI standards for data and model governance across the company by investigating the best industry standards and tools. Presented these proposals to other Data Science business units for evaluation
• Validated AI /ML models and collaborated with business users to measure criticality, success and performance

• Built segmentation models to predict viable customer segments and their activity to maximize value of segments
• Mapped and analyzed quote data using Google Analytics to achieve an increase in quote volume to targeted audience, while ensuring all data can be tracked and monitored

Richland, WA, US

• Developed regression models in Python for ZIP load modelling in Power System for Advanced Distribution Management Systems to optimize performance of the distribution grid, for the project called GridAPPS-D Volt-Var.
• Worked on Grid Project Impact Quantification (GridPIQ) Tool Matlab backend by writing a transparent and reproducible code, to compute distribution and transmission line losses that would be used to compute the Grid.
• Developed Matlab backend with internal and external data scraping for two modules Conservation Voltage Reduction and Electrification in GridPIQ that would compute the Grid Impacts like electricity demand and emissions.

Austin, US

• Developed an OLAP schema-based database in MySQL of financial data for data analytics
• Implemented ETL process using Pentaho tools for converting data from a content management system into OLAP database
• Developed Mondrian schema to load the converted data using Pentaho BI server web application and presented aggregated data from the OLAP database as a streamlined process

Master’S Degree, Data Science

Bachelor’S Degree, Computer Science And Engineering