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I am a lead data science professional with 14+ years in software, data engineering, and applied ML, including 5+ years leading high-performance technical teams. I design, deploy, and operate distributed ML/ETL systems across AWS and GCP for energy and healthcare domains, with a track record of delivering business-critical, multi-region solutions. I thrive on turning business needs into reliable data pipelines and ML solutions, mentoring peers, and translating business impact into technical decisions. I am a fast learner with an innate ability to grasp new concepts and implement practical solutions.…I am a lead data science professional with 14+ years in software, data engineering, and applied ML, including 5+ years leading high-performance technical teams. I design, deploy, and operate distributed ML/ETL systems across AWS and GCP for energy and healthcare domains, with a track record of delivering business-critical, multi-region solutions. I thrive on turning business needs into reliable data pipelines and ML solutions, mentoring peers, and translating business impact into technical decisions. I am a fast learner with an innate ability to grasp new concepts and implement practical solutions.

Anoop Toffy

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

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I am a lead data science professional with 14+ years in software, data engineering, and applied ML, including 5+ years leading high-performance technical teams. I design, deploy, and operate distributed ML/ETL systems across AWS and GCP for energy and healthcare domains, with a track record of delivering business-critical, multi-region solutions. I thrive on turning business needs into reliable data pipelines and ML solutions, mentoring peers, and translating business impact into technical decisions. I am a fast learner with an innate ability to grasp new concepts and implement practical solutions.…I am a lead data science professional with 14+ years in software, data engineering, and applied ML, including 5+ years leading high-performance technical teams. I design, deploy, and operate distributed ML/ETL systems across AWS and GCP for energy and healthcare domains, with a track record of delivering business-critical, multi-region solutions. I thrive on turning business needs into reliable data pipelines and ML solutions, mentoring peers, and translating business impact into technical decisions. I am a fast learner with an innate ability to grasp new concepts and implement practical solutions.

Available to hire

I am a lead data science professional with 14+ years in software, data engineering, and applied ML, including 5+ years leading high-performance technical teams. I design, deploy, and operate distributed ML/ETL systems across AWS and GCP for energy and healthcare domains, with a track record of delivering business-critical, multi-region solutions.

I thrive on turning business needs into reliable data pipelines and ML solutions, mentoring peers, and translating business impact into technical decisions. I am a fast learner with an innate ability to grasp new concepts and implement practical solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Manager (Senior Data Scientist - Technical Lead Role) at Avathon

May 1, 2022 - Present

Managed and mentored a 12+ person global data engineering/data science team delivering large-scale ML and ETL pipelines for renewable-energy assets. Served as scrum master for Jira, prioritizing tickets and creating stories for new features and bugs. Owned the technical roadmap and execution for the APM Energy Platform; ensured reliability, performance, and SLA compliance across deployments. Architected scalable, multi-region ML/ETL workflows on AWS using Airflow, Terraform, serverless components, and containerized microservices. Led cross-team initiatives with product and customer success; drove RCA and implemented preventive reliability improvements. Built and deployed distributed anomaly-detection, forecasting and drift models across wind/solar/storage fleets to increase energy output and reduce O&M costs. Improved data-pipeline stability and significantly lowered triage/escalation times for customer issues. Trained customer support teams to resolve implementation items quickly. Led

Senior Data Scientist (Team Lead) at Spark Cognition / Ensemble Energy

January 1, 2021 - April 30, 2022

Led a 4-member global team building distributed ML models for wind/solar asset performance, anomaly detection, and component-level drift. Designed and deployed production ML pipelines (regression, anomaly detection and normal-behavior models) across AWS and GCP, supporting multi-region energy portfolios. Improved detection accuracy and reduced false alarms by enhancing model stability and data-quality processes. Partnered with engineering teams to operationalize research models into reliable, scalable services in the renewables industry.

Data Engineer at Trico Health India

June 1, 2020 - December 31, 2020

Built distributed data pipelines and ML systems for large-scale health care signal analysis (ECG, TMT). Developed deep-learning models for acute MI detection, ECG classification, and single-lead signal diagnostics; used in pilot for GoQii smartwatch. Developed demographic dashboards (Tableau/Power BI) supporting clinical research and decision-making to analyze ECGs.

Senior Applications Engineer at Oracle

June 1, 2012 - July 31, 2015

Built and maintained APIs and tools for Oracle Service Cloud, supporting global production environments. Improved upgrade pipeline tooling, reducing engineer time for CRM version migrations. Contributed to platform engineering initiatives focused on reliability and performance.

Senior Data Scientist (Technical Lead) at Avathon

May 1, 2022 - Present

Managed and mentored a 12+ person global data engineering/data science team delivering large-scale ML and ETL pipelines for renewable-energy assets. Owned tech road map and execution for the APM Energy Platform; ensured reliability, performance, and SLA compliance across deployments. Architected scalable, multi-region ML/ETL workflows on AWS using Airflow, Terraform, serverless components, and containerized microservices. Led cross-team initiatives with product and customer success; drove RCA and preventive reliability improvements. Built and deployed distributed anomaly-detection, forecast, and drift models across wind/solar/storage fleets to increase energy output and reduce O&M costs. Improved data-pipeline stability and reduced triage/escalation times for customer issues. Trained customer support to resolve issues quickly. Led customer calls for critical deliverables, incidents, and escalations; translated business impact into technical execution. Led office hours as a technical kn

Senior Data Scientist (Team Lead) at Spar Cognition / Ensemble Energy

January 1, 2021 - April 30, 2022

Led a 4-member global team building distributed ML models for wind/solar asset performance, anomaly detection, and component-level drift. Designed and deployed production ML pipelines (regression, anomaly detection and normal behavior models) across AWS and GCP, supporting multi-region energy portfolios. Improved detection accuracy and reduced false alarms by enhancing ML model stability and data-quality processes. Partnered with engineering teams to operationalize research models into reliable, scalable services in the renewables industry.

Data Engineer at Tricog Health India

June 1, 2020 - December 31, 2020

Built distributed data pipelines and ML systems for large-scale health care signal analysis (ECG, TMT). Developed deep-learning models for acute MI detection, ECG classification, and single-lead signal diagnostics (pilot for GOQii smartwatch). Developed demographic dashboards (Tableau/Power BI) supporting clinical research.

Applications Engineer → Senior Applications Engineer at Oracle

June 1, 2012 - July 31, 2015