Sakthivel Kandasamy Email & Phone Number

Jersey City, New Jersey, United States

Machine Learning Engineer with deep expertise in deploying LLM-powered chatbots and generative AI solutions to optimize customer support for GE. Led the end-to-end deployment of 24/7 multilingual chatbots, enhancing customer engagement and reducing manual intervention by 30%. Fine-tuned NLU and NLG models, achieving a 25% boost in chatbot accuracy and a 15% reduction in response time. Collaborated with IT, engineering, and customer service teams for seamless integration with enterprise systems, driving a 20% increase in user engagement. Leveraged Azure AI services for scalable deployment with regional language support, significantly enhancing customer satisfaction globally. Implemented sentiment analysis and real-time feedback loops for adaptive model improvement, resulting in a 10% decrease in customer complaints. Established monitoring systems to track interaction metrics and mentor junior engineers on generative AI methodologies, fostering a culture of innovation and efficient AI deployment. Delivered actionable insights from AI-driven customer interactions to support data-backed product decisions.

United Kingdom

Machine Learning Engineer with expertise in deploying AI solutions to drive customer engagement and operational efficiency. Developed a recommendation engine using collaborative filtering, boosting personalized shopping experiences and increasing engagement by 20%. Integrated Hugging Face Transformers for NLP, enhancing search relevance and improving search-driven conversions by 18%. Built sales forecasting models to optimize resource planning and revenue, and developed a customer support chatbot that reduced support costs by 20% and response time by 15%. Led the transition to AWS cloud, improving scalability and reducing infrastructure costs by 10%. Conducted product affinity analysis to support strategic marketing and inventory decisions, while establishing data pipelines to track user behavior for improved recommendations. Conducted bi-weekly AI training sessions, accelerating deployment timelines by 30%, and collaborated with marketing and sales to align AI strategies with business goals.

Chennai, Tamil Nadu, India

Specializing in predictive modeling and data-driven marketing strategies. Developed models that enhanced client retention by 25% and performed customer segmentation to improve targeted marketing, boosting conversion rates by 10%. Built ETL workflows for real-time data ingestion, delivering actionable insights and reducing reporting time by 40%. Designed real-time dashboards to monitor marketing performance and applied A/B testing for campaign optimization. Collaborated with data engineering teams to enhance pipeline scalability, ensuring efficient data processing. Additionally, conducted regular training and insights sessions, supporting a data-driven culture across the organization.

Chennai, Tamil Nadu, India

Business Intelligence Analyst supporting Availity’s Jacksonville, FL team (Offshore), skilled in leveraging predictive marketing models to boost client retention and acquisition by 25%. Developed real-time ETL pipelines to automate data collection and enable swift, insights-driven decision-making. Partnered with stakeholders to deliver data-backed recommendations, optimizing budget allocation and increasing marketing ROI by 20%. Conducted market basket analysis to understand customer purchasing behaviors and improve product recommendations, alongside customer behavior analytics for personalized marketing strategies. Built real-time dashboards that reduced report turnaround by 35% and supported cross-functional KPI development for performance tracking. Initiated automated data validation, enhancing accuracy, and led SQL training to empower team members in data analysis. Additionally, developed client engagement scoring systems, enabling targeted retention efforts.

Chennai, Tamil Nadu, India

Worked with a focus on predictive modeling and ETL automation to streamline data workflows. Developed models that boosted customer acquisition by 20% and automated reporting processes, reducing preparation time by 40%. Conducted advanced data analysis and transaction trend analysis, providing insights that improved resource allocation and operational efficiency. Partnered with marketing and finance teams to implement data-driven customer segmentation and designed a Customer Lifetime Value (CLV) model for targeting high-value clients. Spearheaded data validation protocols to enhance accuracy, collaborated with IT on secure, accessible data storage solutions, and led monthly training to increase team proficiency in data management tools.

Chennai, Tamil Nadu, India

As an ML Engineer and Data Analyst supporting MetLife’s New York team (Offshore), I developed predictive models that drove a 20% increase in customer acquisition and retention. Partnered closely with marketing and insights teams to create targeted, data-driven strategies, enhancing campaign efficiency. Built and optimized ETL pipelines that reduced manual data handling by 40%, while implementing real-time dashboards with SQL to keep stakeholders informed on business performance. Led a key project to integrate machine learning into customer service systems, automating responses and boosting service quality. Collaborated with data engineers to design scalable data pipelines, improving processing speed by 25%. Additionally, I conducted customer segmentation and churn analyses, supporting personalized campaigns and retention strategies. Trained team members on data analysis best practices, accelerating project timelines and fostering skill development.

Chennai, Tamil Nadu, India

Skilled Data Engineer with a strong track record of designing automated data pipelines, reducing manual data processing by 60%. Experienced in developing real-time analytics dashboards using Python and SQL, enabling data-driven decision-making. Played a key role in migrating legacy data systems to AWS, achieving a 20% reduction in infrastructure costs. Proficient in optimizing SQL queries to boost data retrieval speed and building predictive models for customer behavior analysis that supported targeted marketing strategies. Known for collaborating with cross-functional teams to meet project timelines and ensure data quality through rigorous validation and cleansing processes. Passionate about creating data-driven solutions that enhance accessibility, security, and strategic insights.

Master Of Science - Ms, Computer Science, Distinction

Achieved a Master’s degree in Advanced Computer Science with Distinction from the University of Hertfordshire, UK, with a focus on Machine.

Bachelor Of Technology - Btech, Information Technology