Jeevana Senthilkumar

About Jeevana Senthilkumar

At Amazon, our team has elevated the performance of machine learning models, integrating natural language processing to refine the e-commerce chatbot experience. Pursuing a Master\'s in Data Science at Kalasalingam University, my academic foundation in data analysis and machine learning directly informs my contributions to product development at Amazon, ensuring our AI solutions like Alexa are at the forefront of innovation. With certifications from Great Learning and Microsoft, I bring a rigorous analytical approach to my work. We\'ve succeeded in enhancing search efficiency on the e-commerce platform, tailoring visual data representations that crystallize insights for stakeholders. My experience, bolstered by a Bachelor\'s in Data Science from The American College, is instrumental in converting ground truth data into actionable strategies.

Experience

1. Machine Learning Data Associate

   Amazon

   Feb 2024 — Present · Chennai, IN

   Developed ML algorithms to train the AI models like Alexa.• Work on defined set of instructions to collect ground truth data for the product development.• Collaborated with Data Scientists to leverage Large Language Models (LLM) and implement Natural Language Processing (NLP) techniques, enhancing the accuracy and efficiency of machine learning models for product development.• With my team, I enhanced the efficiency of e-commerce chatbot through targeted training and optimization.• Created Visual representations to communicate key insights with stakeholders.• Created SOPs and categorized the products based upon use-case in e-commerce website to enhance user experience and search efficiency.• Usage of Extensive data collection, verification, synthesis, and analysis.• Using ML augmented data catalogue to boost the productivity and accelerate the data driven business outcomes. Created Dashboards for the efficiency of product display.• Established robust data preprocessing pipelines to clean, normalize, and augment data.• Created and managed custom objects, fields, formulas, validation rules and deployed using LWC.• Raised and resolved execution failures/doubts in the portal within the stipulated SLA timeframes.• Created reports and dashboards to provide insights into business performance.• Development of regional approaches and methods to facilitate targeted research.• Assisting in identifying patterns and trends in complex data sets.• Worked with the team to systematically review the response generated by the LLM for accuracy and quality.

Education

• Great Lakes Institute of Management

  Certification course, Data Analyst

• THE AMERICAN COLLEGE

  Bachelor's degree, Data Science