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I am a results-driven AI/ML and data science professional with 10 years of experience designing, developing, and deploying end-to-end machine learning and predictive analytics solutions across Banking, Healthcare, Insurance, Government, and Consulting domains. I work on building real-time decision intelligence, risk scoring, and fraud-detection systems using advanced ML, deep learning, and NLP techniques. I have deep expertise in model lifecycle management, scalable data architectures, ETL pipelines, and cloud-native ML deployments. I collaborate closely with Risk, Compliance, Cybersecurity, Data Engineering, and business stakeholders to translate objectives into high-impact AI solutions, while ensuring explainability and regulatory-aligned practices across the enterprise.…I am a results-driven AI/ML and data science professional with 10 years of experience designing, developing, and deploying end-to-end machine learning and predictive analytics solutions across Banking, Healthcare, Insurance, Government, and Consulting domains. I work on building real-time decision intelligence, risk scoring, and fraud-detection systems using advanced ML, deep learning, and NLP techniques. I have deep expertise in model lifecycle management, scalable data architectures, ETL pipelines, and cloud-native ML deployments. I collaborate closely with Risk, Compliance, Cybersecurity, Data Engineering, and business stakeholders to translate objectives into high-impact AI solutions, while ensuring explainability and regulatory-aligned practices across the enterprise.

Shalima Shaik

Data Scientist, AI Engineer, Full Stack Developer, +2

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I am a results-driven AI/ML and data science professional with 10 years of experience designing, developing, and deploying end-to-end machine learning and predictive analytics solutions across Banking, Healthcare, Insurance, Government, and Consulting domains. I work on building real-time decision intelligence, risk scoring, and fraud-detection systems using advanced ML, deep learning, and NLP techniques. I have deep expertise in model lifecycle management, scalable data architectures, ETL pipelines, and cloud-native ML deployments. I collaborate closely with Risk, Compliance, Cybersecurity, Data Engineering, and business stakeholders to translate objectives into high-impact AI solutions, while ensuring explainability and regulatory-aligned practices across the enterprise.…I am a results-driven AI/ML and data science professional with 10 years of experience designing, developing, and deploying end-to-end machine learning and predictive analytics solutions across Banking, Healthcare, Insurance, Government, and Consulting domains. I work on building real-time decision intelligence, risk scoring, and fraud-detection systems using advanced ML, deep learning, and NLP techniques. I have deep expertise in model lifecycle management, scalable data architectures, ETL pipelines, and cloud-native ML deployments. I collaborate closely with Risk, Compliance, Cybersecurity, Data Engineering, and business stakeholders to translate objectives into high-impact AI solutions, while ensuring explainability and regulatory-aligned practices across the enterprise.

Available to hire

I am a results-driven AI/ML and data science professional with 10 years of experience designing, developing, and deploying end-to-end machine learning and predictive analytics solutions across Banking, Healthcare, Insurance, Government, and Consulting domains.

I work on building real-time decision intelligence, risk scoring, and fraud-detection systems using advanced ML, deep learning, and NLP techniques. I have deep expertise in model lifecycle management, scalable data architectures, ETL pipelines, and cloud-native ML deployments. I collaborate closely with Risk, Compliance, Cybersecurity, Data Engineering, and business stakeholders to translate objectives into high-impact AI solutions, while ensuring explainability and regulatory-aligned practices across the enterprise.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Senior AI/ML Engineer at JPMorgan Chase & Co.

June 1, 2024 - Present

Defined and delivered end-to-end risk orchestration architecture that synthesizes transaction events and contextual signals to generate enhanced risk intelligence for internal decision engines and alert systems. Implemented sequence- and graph-based models to uncover multitouch fraud patterns beyond rule-based detection, and designed adaptive risk scoring with deep feature transformations. Built a microservices-based scoring fabric with encrypted streams and a real-time feature store, and established an explainability workflow for auditability. Automated model retirement, drift detection, and governance, and partnered with cybersecurity to fuse threat intelligence for rapid isolation. Delivered an executive risk dashboard and secure model invocation API gateway for cross-application use.

ML Engineer at Mayo Clinic

February 1, 2022 - May 1, 2024

Led the design of a hospital demand forecasting system that blends structured patient flows with temporal patterns to anticipate inventory depletion and reduce stockouts in critical care units. Built dual-mode ETL pipelines, heterogeneous ensemble forecasts, and a feature orchestration engine. Implemented real-time alerts for auto-provisioning, integrated outputs with ERP for bidirectional synchronization, and delivered multitenant dashboards for facility-level operations. Enforced HIPAA-aligned data security and automated data quality checks to ensure reliable predictions.

Senior Data Scientist at State of Illinois

February 1, 2021 - January 1, 2022

Led construction of a public health forecasting platform integrating multiagency datasets to predict healthcare demand and unemployment patterns. Designed a policy impact scorecard, built domain-specific feature hierarchies, automated data consolidation, and delivered interactive dashboards. Applied topic segmentation and sentiment models on public surveys to surface policy gaps and supported experimentation through A/B tests. Implemented geospatial analyses and established a model governance lifecycle with regulatory reporting.

Data Scientist at Prudential Financial

October 1, 2019 - January 1, 2021

Built semantic extraction and entity resolution for regulatory filings, developed multi-horizon volatility forecasting models, and implemented latent behavior modeling for portfolio risk segmentation. Created a stress scenario engine and a risk-threshold alerting service aligned with regulatory ceilings. Orchestrated automated pipelines for new data releases, delivered live-risk visualizations, and authored audit-ready reports. Established data governance and continuous model validation frameworks.

ML Analyst at Helios & Matheson

December 1, 2018 - May 1, 2019

Constructed customer lifecycle models to predict engagement transitions and optimize retention campaigns. Developed risk segmentation from usage, billing, support, and network signals for unified behavioral representations. Implemented REST scoring interfaces, automated model evaluation, and data quality gates to ensure analytics hygiene. Created dashboards for retention KPIs and intervention impact forecasts.

NLP Engineer at ZS Associates

February 1, 2015 - November 1, 2018

Built semantic annotation pipelines and relation-mapping systems to surface enterprise insights linked to KPIs. Created interactive analytics dashboards and designed large-scale batch processing on distributed compute platforms. Developed timeseries forecasting for capacity planning, automated data quality gates, and led governance artifacts for standardized analytics operations.