Jayapal Sadasivan

AI Researcher

Chennai, Tamil Nadu, India7 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in machine learning and data analytics.
Proven track record in developing innovative data-driven solutions.
Strong background in both automotive and fintech industries.

Stackforce AI infers this person is a Data Scientist with expertise in Automotive and Fintech sectors.

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Skills

Core Skills

Machine LearningData AnalyticsData EngineeringData VisualizationBusiness Intelligence

Other Skills

Support Vector RegressionDriver Scoring AlgorithmPower BIBigQueryGeospatial AnalyticsStatistical Data AnalysisMachine Learning AlgorithmsDatabase ManagementDeep LearningETL/ELTPostgreSQLGrafanaAnomaly DetectionApache AirflowGluonTS

Experience

Ford motor company

2 roles

Senior Data Scientist

Dec 2023 – Present · 2 yrs 3 mos · On-site

Data Scientist

Apr 2022 – Dec 2023 · 1 yr 8 mos · On-site

1. Developed Support Vector Regression (SVR) models to estimate and analyze vehicle battery energy loads, supporting performance and efficiency optimization initiatives.
2. Designed and implemented a driver scoring algorithm for fleet vehicles, enabling fleet managers to monitor driving behavior and improve operational efficiency.
3. Built interactive Power BI dashboards to track driver performance and fleet metrics, facilitating data-driven decision-making for stakeholders.
4. Created and maintained BigQuery databases for connected vehicle data, enabling scalable data access and analytics support for cross-functional teams.
5. Performed geospatial analytics using OpenStreetMap data to identify alternate freight routes and optimize routing strategies, reducing dependency on third-party map services and lowering operational costs.

Support Vector RegressionDriver Scoring AlgorithmPower BIBigQueryGeospatial AnalyticsMachine Learning+1

Vunet systems

Data Science Engineer

Jun 2021 – Mar 2022 · 9 mos · Chennai, Tamil Nadu, India · On-site

1. Advanced Model Development: Developed, trained Machine Learning and Deep Learning models utilizing the Blunts library (or state-of-the-art Python libraries like scikit-learn/TensorFlow/PyTorch) to solve complex business problems, driving data-driven decision-making.
2. High-Value Anomaly Detection: Engineered and implemented a robust, real-time anomaly detection system for critical financial transactions, significantly reducing fraud risk and improving security across the platform.
3. Pipeline Orchestration: Managed scalable ETL/ELT data pipelines using Apache Airflow, ensuring timely data availability, reliability, and quality for downstream analytics and model consumption.
4. Database Infrastructure: Built and optimized a foundational database infrastructure (e.g., PostgreSQL, MongoDB, etc.) tailored for high-volume data science workflows, enhancing data retrieval efficiency and system performance.
5. Operational Intelligence & Visualization: Created and maintained dynamic monitoring dashboards in Grafana for real-time network traffic analysis, providing IT Operations and leadership with crucial operational intelligence to preemptively identify bottlenecks and maintain system health.

Machine LearningDeep LearningETL/ELTPostgreSQLGrafanaData Engineering

Amazon

Machine Learning Engineer

Jun 2019 – Jun 2021 · 2 yrs · Chennai, Tamil Nadu, India · On-site

1. Product Innovation: Played a key role in the development of Alexa devices, using machine learning to create smarter and more efficient user experiences.
2. Business Forecasting: Developed and executed machine learning models to accurately predict sales trends for the "Big Billion Sales," directly impacting inventory and sales strategies.
3. Data Science: Applied deep learning methodologies and the GluonTS library to solve real-world business problems and drive data-driven decision-making.

Machine LearningDeep LearningGluonTS

Infosys

System Engineer

Jun 2016 – Jun 2017 · 1 yr · Mysore, Karnataka, India · On-site

1. System Engineering: Leveraged expertise in mainframe technology to support and maintain mission-critical banking systems.
2. Business Intelligence: Created powerful Tableau dashboards for tracking and improving the efficiency of net banking services.
3. Efficiency & Analytics: Used data analysis to identify key performance metrics and drive improvements in banking service delivery.

TableauData AnalysisBusiness Intelligence

Ashok leyland

Automobile Engineer Intern

Jan 2016 – May 2016 · 4 mos · Chennai, Tamil Nadu, India · On-site

1. Conducted motion and time studies to streamline production processes and improve technician workflow. Gained hands-on experience in production processes and quality assurance.
2. Redesigned the honeycomb structures in radiators to enhance cooling efficiency as part of a plant-level project.
3. Developed practical skills in a real-world manufacturing environment and contributed to operational efficiency and other plant-level projects.