Available to hire
Hi, I’m Manoj Saiprakash Viswanadharao, a Senior Data Scientist and Data Engineer with 12+ years in IT, specializing in scalable, cloud-native AI and data platforms. I design and deploy end-to-end GenAI and ML pipelines across Azure and AWS to automate decision-making, enable governance, and drive business intelligence.
I’ve delivered enterprise-grade GenAI and NLP solutions with GPT-4, LangChain, FAISS, and vector databases, focusing on fraud analytics, compliance, and robust production monitoring. I enjoy collaborating with cross-functional teams to translate complex business needs into reliable, scalable AI systems that maximize ROI while maintaining data privacy and regulatory compliance.
Skills
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Language
English
Fluent
Work Experience
Senior Data Scientist at Bank of America
October 1, 2021 - November 18, 2025Built a GenAI-powered fraud case summarization engine using GPT-4 and LangChain to convert multi-source fraud signals into investigator-ready narratives; designed real-time fraud detection models using XGBoost and LightGBM; implemented retrieval-augmented generation with FAISS and Azure OpenAI embeddings to improve policy and compliance Q&A. Developed dynamic prompts to adapt tone between legal and investigative contexts; implemented PHI masking and GDPR filtering for secure access. Automated risk analytics workflows with Azure ML and Power BI dashboards, enabling real-time insights for stakeholders. Integrated multi-turn LLM agents for evidence lookups and regulatory guidance, and streamlined deployment via Synapse Analytics and CI/CD pipelines.
Senior Data Scientist at Bank of America
October 1, 2021 - November 11, 2025Led a GenAI‑powered fraud case summarization engine using GPT-4 and LangChain, transforming multi-source fraud signals into concise narratives for investigators and accelerating case review. Designed and deployed real-time fraud detection models (XGBoost/LightGBM) achieving ~84% precision. Implemented retrieval-augmented generation with FAISS and Azure embeddings to enhance compliance Q&A. Developed dynamic prompts for legal vs investigative styles and integrated PHI masking for GDPR-aligned governance. Automated analytics workflows via Azure ML pipelines and Power BI dashboards; built multi-turn LLM agent capabilities for evidence lookups and regulatory guidance. Oversaw end-to-end deployment using Synapse Analytics and Azure DevOps CI/CD, ensuring reliability and scalability. Presented frameworks to executives and audit committees to secure funding for ongoing AI fraud prevention initiatives. Also delivered real-time healthcare analytics dashboards and supported care-gap reporting.
AI Engineer at State of Nevada
September 30, 2021 - September 30, 2021Led end-to-end Salesforce-to-Dynamics 365 migration; built ETL pipelines with Azure Data Factory ingesting data into Azure Synapse for real-time analytics. Created Looker dashboards for sales, inventory, and customer insights; implemented Fiddler AI for explainability and monitoring; established robust data governance and validation; migrated large datasets to Snowflake. Built real-time data pipelines with Azure Functions and Snowflake integration; automated reporting with Looker and Power BI. Directed Teradata-to-Redshift migrations and ensured HIPAA/GDPR compliance across retail analytics and healthcare reporting.
AI Engineer at State of Nevada
September 1, 2021 - September 1, 2021Led AI/data modernization for state government. Migrated Salesforce to Dynamics 365; built ETL pipelines via Azure Data Factory to ingest data into Azure Synapse; designed Looker dashboards for procurement and analytics; implemented Fiddler AI for model explainability and monitoring. Built near real-time forecasting pipelines using Azure Functions; automated and validated data migrations to Snowflake; established data governance and quality checks; collaborated with cross-functional teams to deliver scalable, auditable analytics platforms.
Azure Data Engineer at Charles Schwab
March 31, 2018 - March 31, 2018Developed ETL pipelines using Azure Data Factory to integrate data from SQL Server and Teradata into Azure Synapse; built KPI-driven Power BI dashboards for sales forecasting and inventory optimization. Implemented real-time data pipelines using Azure Functions and Azure Event Hubs, automated data ingestion, and performed data mapping/validation to ensure referential integrity. Led data migrations to Snowflake and established data governance with automated data quality checks, enabling near real-time forecasting and analytics.
Azure Data Engineer at Charles Schwab
March 1, 2018 - March 1, 2018Developed ETL pipelines using Azure Data Factory and Azure SQL Analytics to integrate data from SQL Server and Teradata. Designed and optimized Power BI dashboards for sales forecasting, inventory tracking, and product performance. Implemented real-time data pipelines using Azure Functions and Azure Event Hubs. Led migration of enterprise datasets from Teradata to Azure SQL Analytics and enabled near real-time forecasting pipelines; coordinated data mapping and validation for downstream retail reporting; integrated Azure SQL with Power BI for executive dashboards.
Data Engineer at Novartis
November 30, 2016 - November 30, 2016Created structured fraud intelligence reports using SQL and Oracle for transaction monitoring. Automated daily/weekly reporting via PL/SQL and UNIX shell scheduling, reducing turnaround time and enabling faster decision-making. Participated in re-architecting Informatica workflows, contributed business rule mappings and KPI definitions, and QA test plans. Implemented data integrity checks and documentation of KPIs and data lineage, supporting regulatory audits and cross-functional analytics.
Data Engineer at Novartis
November 1, 2016 - November 1, 2016Created structured fraud intelligence reports to support transaction monitoring. Automated daily/weekly reporting using PL/SQL and UNIX shell scheduling, reducing turnaround time by over 40%. Re-architected Informatica workflows with KPI definitions and QA plans; performed root-cause analysis on data discrepancies; documented data lineage and KPIs to support analytical model training and audits.
Education
Master of Science in Computer Science at Texas A&M University-Corpus Christi
January 1, 2012 - December 31, 2013Bachelor of Engineering in Computer Science Engineering at Amrita School of Engineering
July 1, 2011 - November 11, 2025Master of Science in Computer Science at Texas A&M University-Corpus Christi
January 1, 2012 - December 1, 2013Bachelor of Science in Computer Science Engineering at Amrita School of Engineering
July 1, 2011 - November 11, 2025Master of Science in Computer Science at Texas A&M University-Corpus Christi
January 1, 2012 - December 31, 2013Bachelor's in Computer Science Engineering at Amrita School of Engineering
July 1, 2011 - November 18, 2025Qualifications
TensorFlow Developer Certificate
January 11, 2030 - November 11, 2025Microsoft Azure Data Scientist Associate (DP-100)
January 11, 2030 - November 11, 2025Databricks Certified Data Engineer Associate
January 11, 2030 - November 11, 2025TensorFlow Developer Certificate
January 11, 2030 - November 11, 2025Microsoft Azure Data Scientist Associate (DP-100)
January 11, 2030 - November 11, 2025Databricks Certified Data Engineer Associate
January 11, 2030 - November 11, 2025TensorFlow Developer Certificate
January 11, 2030 - November 18, 2025Microsoft Azure Data Scientist Associate (DP-100)
January 11, 2030 - November 18, 2025Databricks Certified Data Engineer Associate
January 11, 2030 - November 18, 2025Industry Experience
Financial Services, Healthcare, Government, Retail, Software & Internet, Professional Services
Skills
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