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I am a passionate data scientist and AI engineer with 9+ years of hands-on experience translating data into practical, enterprise-grade AI solutions. I specialize in machine learning, deep learning, and Generative AI, delivering data-driven products that automate complex workflows and accelerate business transformation. My work spans fraud analytics, predictive forecasting, RAG-enabled knowledge automation, and scalable MLOps across finance, retail, healthcare, and life sciences. I thrive on collaborating with product, risk, and operations teams to turn insights into measurable impact while emphasizing transparency and governance.…I am a passionate data scientist and AI engineer with 9+ years of hands-on experience translating data into practical, enterprise-grade AI solutions. I specialize in machine learning, deep learning, and Generative AI, delivering data-driven products that automate complex workflows and accelerate business transformation. My work spans fraud analytics, predictive forecasting, RAG-enabled knowledge automation, and scalable MLOps across finance, retail, healthcare, and life sciences. I thrive on collaborating with product, risk, and operations teams to turn insights into measurable impact while emphasizing transparency and governance.

Sushma Gandham

Data Scientist, AI Engineer, AI Developer, +2

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I am a passionate data scientist and AI engineer with 9+ years of hands-on experience translating data into practical, enterprise-grade AI solutions. I specialize in machine learning, deep learning, and Generative AI, delivering data-driven products that automate complex workflows and accelerate business transformation. My work spans fraud analytics, predictive forecasting, RAG-enabled knowledge automation, and scalable MLOps across finance, retail, healthcare, and life sciences. I thrive on collaborating with product, risk, and operations teams to turn insights into measurable impact while emphasizing transparency and governance.…I am a passionate data scientist and AI engineer with 9+ years of hands-on experience translating data into practical, enterprise-grade AI solutions. I specialize in machine learning, deep learning, and Generative AI, delivering data-driven products that automate complex workflows and accelerate business transformation. My work spans fraud analytics, predictive forecasting, RAG-enabled knowledge automation, and scalable MLOps across finance, retail, healthcare, and life sciences. I thrive on collaborating with product, risk, and operations teams to turn insights into measurable impact while emphasizing transparency and governance.

Available to hire

I am a passionate data scientist and AI engineer with 9+ years of hands-on experience translating data into practical, enterprise-grade AI solutions. I specialize in machine learning, deep learning, and Generative AI, delivering data-driven products that automate complex workflows and accelerate business transformation.

My work spans fraud analytics, predictive forecasting, RAG-enabled knowledge automation, and scalable MLOps across finance, retail, healthcare, and life sciences. I thrive on collaborating with product, risk, and operations teams to turn insights into measurable impact while emphasizing transparency and governance.

Skills

Experience Level

Expert

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Work Experience

Sr. AI/ML Engineer – RAG, Predictive Analytics & MLOps Systems at Regional Bank

April 1, 2025 - Present

Partnered with product, risk, and compliance teams to deliver AI/ML initiatives in fraud analytics, advisory automation, and data-driven client insights, improving decision transparency across portfolios. Implemented multi-tenant ML and RAG pipelines using AWS Bedrock, SageMaker, and LangChain, enabling secure retrieval and contextual intelligence from regulatory and market datasets. Deployed multi-model inference workflows leveraging OpenAI GPT-4, Claude 3, and Amazon Titan, with fine-tuning for risk scoring and summarization; integrated ML observability with PromptLayer and Evidently AI; designed hybrid vector-search pipelines (OpenSearch, Weaviate, FAISS) for precise regulatory document retrieval. Built explainable AI frameworks (SHAP/LIME) for audit readiness. Established automated MLOps pipelines (SageMaker Pipelines, MLflow, CodePipeline) and real-time feature versioning with SageMaker Feature Store. Implemented governance controls, data leakage Guardrails, and strong security (e

Data Scientist & Gen-AI at FIS Global

February 1, 2023 - March 31, 2025

Developed and deployed AI/ML models to optimize retail operations, inventory management, and demand forecasting across 4,000 stores. Built predictive models for sales forecasting, price optimization, and elasticity, increasing forecast accuracy by 28%. Integrated Generative AI techniques (LLMs via OpenAI and Hugging Face) to automate report generation, insights summarization, and data-driven recommendations. Built deep-learning-based recommender systems and piloted early RAG pipelines to enable natural-language querying of sales and inventory data. Automated data ingestion with PySpark, Airflow, and SQL for terabyte-scale datasets. Applied NLP sentiment analysis to customer feedback and social data; explored reinforcement-learning-based pricing for promotions. Deployed services on AWS SageMaker with Docker for scalable inference. Conducted A/B testing and causal inference to assess AI-driven impact. Developed dashboards in Tableau/Power BI and Streamlit; implemented retraining and moni

Senior Data Analyst at BNY Mellon

October 1, 2020 - January 31, 2023

Designed and maintained analytical data pipelines using Python, PySpark, and SQL to process multi-terabyte datasets supporting BI and decision-making. Built real-time reporting and analytics with Apache Kafka and AWS Kinesis; developed data models and warehouses on AWS Redshift and S3; optimized SQL queries to accelerate dashboards by over 30%. Automated recurring reports and established CI/CD for analytics using Airflow, Jenkins, Docker. Implemented data governance with GDPR/CCPA compliance, metadata-driven templates, and standardized logging/monitoring. Led cross-functional partnerships with business stakeholders to translate requirements into actionable dashboards and KPIs; mentored analysts on Python, SQL, and visualization best practices.

Data Analyst at Underwriters Laboratories

August 1, 2018 - September 30, 2020

Collaborated with clinical, manufacturing, and R&D teams to analyze large datasets and generate actionable business insights. Built automated ETL workflows with Python/SQL and deployed interactive dashboards in Tableau/Power BI. Developed predictive models for clinical trials and production optimization; ensured FDA/GMP compliance through data audits and governance. Automated reporting pipelines with Airflow and AWS; delivered stakeholder-ready analytics; supported forecasting and performance monitoring; designed dimensional models and standardized logging, enabling secure data handling.

Python Developer at Larsen & Toubro

July 1, 2016 - June 30, 2018

Developed scalable Python applications to automate supply chain and inventory management; designed RESTful APIs for warehouse integrations; built data-driven tools to analyze product movement and demand forecasting. Optimized SQL queries, automated report pipelines, migrated legacy systems to Python-based platforms; deployed in Linux production environments; implemented unit testing and CI/CD; documented APIs and flows.