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Shanawaz W

@shanawazw

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Data Science and AI Manager specializing in Banking Conversational AI, NLP, and MLOps-driven production analytics.

India

Message

What I'm looking for

I’m looking to lead data science and MLOps in production environments—especially conversational AI and smart city/banking analytics—where accessibility, governance, and measurable business impact matter. I want to build teams, ship reliable models, and iterate fast with strong engineering partners.

I’m a Data Science leader with 17+ years of experience designing and delivering advanced AI/ML, NLP, statistical modeling, and data exploration across Banking Technology, Smart City, e-Governance, and enterprise domains. Currently, I’m leading an 18-member Data Science team at Clayfin Technologies, architecting an Accessibility-First AI Banking Application with RASA NLP, NeuTTS, and OpenAI Whisper—serving visually impaired and general customers through voice-first conversational experiences.

I’ve consistently defined value hypotheses and deployed predictive, descriptive, and prescriptive models at scale, including a Smart City advanced analytics platform serving 50M+ citizens. I specialize in full-lifecycle data preparation, unstructured and structured exploration, and production AI maintenance, backed by strong governance (DAMA-DMBOK, GDPR/CCPA, SOC 2) and measurable outcomes like WCAG 2.1 AAA alignment, real-time IoT analytics with Azure Stream Analytics, and robust model lifecycle management through MLflow, Databricks, and Microsoft Fabric.

Experience

Work history, roles, and key accomplishments

Current

Manager, Data Science

Current

Clayfin Technologies Pvt Ltd

Nov 2025 - Present (7 months)

Led an 18-member data science team architecting an Accessibility-First AI banking application with voice-first conversational flows for hands-free account operations. Built 20 production REST APIs to Oracle banking systems and developed an AI predictive analytics platform serving 50M+ customers while maturing MLOps with CI/CD, drift monitoring, SLO tracking, and model risk registers.

Conversational AI (Rasa)Speech To Text (OpenAI Whisper)API Development MLOps Model Risk Management Predictive Analytics

Lead Data Scientist (Smart City)

Tamil Nadu e-Governance Agency (TNeGA)

May 2024 - Oct 2025 (1 year 5 months)

Architected and deployed a statewide smart city advanced analytics platform serving 50M+ citizens, integrating IoT sensor streams and geo-spatial analytics to improve government service delivery efficiency by 90%. Built end-to-end ML pipelines with MLflow lifecycle management and implemented real-time anomaly detection and predictive maintenance using Azure Stream Analytics.

Smart City Analytics IoT Sensor Data Analytics Azure Stream Analytics MLflow Model Lifecycle Management

Manager, Data Science

Iopex Technologies India Pvt Ltd

Sep 2023 - May 2024 (8 months)

Oversaw data science and analytics delivery for 10+ enterprise clients across an $8M+ annual portfolio, managing models from problem framing through production deployment and performance monitoring. Implemented data quality scorecards and governance programs that improved data accuracy by 95% and increased delivery efficiency by 85% through ML-powered automation and pipeline redesign.

Data Governance Performance Monitoring

Data Analytics Manager

Kinesso India Pvt Ltd

Apr 2022 - Feb 2023 (10 months)

Led migration of 85+ client databases to Snowflake, including data cataloging, lineage tracking, and metadata management, managing a $6M initiative. Built ML-based automation solutions that saved 100+ hours per project and improved team utilization by 40%, while integrating AWS DCM 360 with the Snowflake analytics ecosystem.

Data Cataloging Metadata Management AWS DCM 360 Integration

Lead Analyst

HCL Technologies India Ltd

Mar 2016 - Apr 2022 (6 years 1 month)

Managed technology implementations for Fortune 500 financial services clients across a $4M annual portfolio, aligning delivery with SOC 2 and data governance policies. Improved client reporting efficiency by 98% through enterprise dashboards and visual analytics, and raised data quality accuracy by 96% with 98% client satisfaction and zero executive escalations over six years.

Data Governance Enterprise Dashboarding & Visual Analytics