Education Aug 2014 - May 2018: Bachelor of Engineering, Anna University, India Key Disciplines: Fundamentals of Electronics, Sensors and Transducers, Signal Processing, Object-Oriented Programming, Statistics Achievements: University Rank Holder (May 2018) Apr 2019 - Jul 2021: Masters in Data Analytics, University of Hildesheim, Germany Key Disciplines: Machine Learning, Deep Learning, Big Data Analytics, Optimization Technique, Recommendation System Achievements: Master Thesis Scholarship (May 2020) Professional Experience May 2018 - Sep 2018: Analyst, Amazon, India Worked on Amazon Kids (formerly Amazon Free Time) as an Analyst and product owner. Focused on quality assurance of Amazon products, including Fire Tablet and Android OS. Tracked and reported bugs, conducted User Acceptance Testing, and documented business requirements. Oct 2018 - Feb 2019: Program Analyst, Cognizant Technology Solutions, India Focused on clinical data cleaning and generation for clinical trials. Gained experience in the Medidata Rave data system for electronic data capture (EDC). Oct 2020 - Jul 2021: Machine Learning Consultant - Intern, John Deere GmbH, Germany Developed an end-to-end defect detection system, including requirement gathering, database creation, modeling, and integration. Worked on estimating root relative 3D hand poses from 2D images using heatmap regression. Aug 2021 - Jan 2024: Data Scientist, HRS Group, Germany Developed and optimized a forecasting system for booking trends and hotel prices using FB Prophet. Implemented a cloud-based internal monitoring system using AWS, resulting in significant cost reductions. Collaborated with data scientists and engineers in Agile teams and leveraged AWS technologies like EC2, Lambda, Athena, and S3. Feb 2024 - Present: Senior Data Scientist, Echomotion, Germany Developed generative AI solutions for Siemens and Score Capital, including a chatbot for internal tools using GCP Search and Conversation. Specialized in developing LLM solutions and frameworks using Langchain, Retrieval-Augmented Generation (RAG), and prompt engineering. Built a customer churn prediction model for Goobit using ML algorithms like logistic regression and random forests. Certifications Google Cloud Professional Machine Learning Engineer Product Analytics by Pendo x Mind the Product (2023) AWS Computer Vision: Getting Started with GluonCV (2020) Python for Data Science Certification by IBM (2019) Completed internship in the Biomedical dept., IIT-M (Mar 2018)

suryajeevaeie8749

Education Aug 2014 - May 2018: Bachelor of Engineering, Anna University, India Key Disciplines: Fundamentals of Electronics, Sensors and Transducers, Signal Processing, Object-Oriented Programming, Statistics Achievements: University Rank Holder (May 2018) Apr 2019 - Jul 2021: Masters in Data Analytics, University of Hildesheim, Germany Key Disciplines: Machine Learning, Deep Learning, Big Data Analytics, Optimization Technique, Recommendation System Achievements: Master Thesis Scholarship (May 2020) Professional Experience May 2018 - Sep 2018: Analyst, Amazon, India Worked on Amazon Kids (formerly Amazon Free Time) as an Analyst and product owner. Focused on quality assurance of Amazon products, including Fire Tablet and Android OS. Tracked and reported bugs, conducted User Acceptance Testing, and documented business requirements. Oct 2018 - Feb 2019: Program Analyst, Cognizant Technology Solutions, India Focused on clinical data cleaning and generation for clinical trials. Gained experience in the Medidata Rave data system for electronic data capture (EDC). Oct 2020 - Jul 2021: Machine Learning Consultant - Intern, John Deere GmbH, Germany Developed an end-to-end defect detection system, including requirement gathering, database creation, modeling, and integration. Worked on estimating root relative 3D hand poses from 2D images using heatmap regression. Aug 2021 - Jan 2024: Data Scientist, HRS Group, Germany Developed and optimized a forecasting system for booking trends and hotel prices using FB Prophet. Implemented a cloud-based internal monitoring system using AWS, resulting in significant cost reductions. Collaborated with data scientists and engineers in Agile teams and leveraged AWS technologies like EC2, Lambda, Athena, and S3. Feb 2024 - Present: Senior Data Scientist, Echomotion, Germany Developed generative AI solutions for Siemens and Score Capital, including a chatbot for internal tools using GCP Search and Conversation. Specialized in developing LLM solutions and frameworks using Langchain, Retrieval-Augmented Generation (RAG), and prompt engineering. Built a customer churn prediction model for Goobit using ML algorithms like logistic regression and random forests. Certifications Google Cloud Professional Machine Learning Engineer Product Analytics by Pendo x Mind the Product (2023) AWS Computer Vision: Getting Started with GluonCV (2020) Python for Data Science Certification by IBM (2019) Completed internship in the Biomedical dept., IIT-M (Mar 2018)

Available to hire

Education

Aug 2014 - May 2018: Bachelor of Engineering, Anna University, India
Key Disciplines: Fundamentals of Electronics, Sensors and Transducers, Signal Processing, Object-Oriented Programming, Statistics
Achievements: University Rank Holder (May 2018)

Apr 2019 - Jul 2021: Masters in Data Analytics, University of Hildesheim, Germany
Key Disciplines: Machine Learning, Deep Learning, Big Data Analytics, Optimization Technique, Recommendation System
Achievements: Master Thesis Scholarship (May 2020)

Professional Experience

May 2018 - Sep 2018: Analyst, Amazon, India
Worked on Amazon Kids (formerly Amazon Free Time) as an Analyst and product owner.
Focused on quality assurance of Amazon products, including Fire Tablet and Android OS.
Tracked and reported bugs, conducted User Acceptance Testing, and documented business requirements.

Oct 2018 - Feb 2019: Program Analyst, Cognizant Technology Solutions, India
Focused on clinical data cleaning and generation for clinical trials.
Gained experience in the Medidata Rave data system for electronic data capture (EDC).

Oct 2020 - Jul 2021: Machine Learning Consultant - Intern, John Deere GmbH, Germany
Developed an end-to-end defect detection system, including requirement gathering, database creation, modeling, and integration.
Worked on estimating root relative 3D hand poses from 2D images using heatmap regression.

Aug 2021 - Jan 2024: Data Scientist, HRS Group, Germany
Developed and optimized a forecasting system for booking trends and hotel prices using FB Prophet.
Implemented a cloud-based internal monitoring system using AWS, resulting in significant cost reductions.
Collaborated with data scientists and engineers in Agile teams and leveraged AWS technologies like EC2, Lambda, Athena, and S3.

Feb 2024 - Present: Senior Data Scientist, Echomotion, Germany
Developed generative AI solutions for Siemens and Score Capital, including a chatbot for internal tools using GCP Search and Conversation.
Specialized in developing LLM solutions and frameworks using Langchain, Retrieval-Augmented Generation (RAG), and prompt engineering.
Built a customer churn prediction model for Goobit using ML algorithms like logistic regression and random forests.

Certifications
Google Cloud Professional Machine Learning Engineer
Product Analytics by Pendo x Mind the Product (2023)
AWS Computer Vision: Getting Started with GluonCV (2020)
Python for Data Science Certification by IBM (2019)
Completed internship in the Biomedical dept., IIT-M (Mar 2018)

See more

Skills

AI
AI Chatbot
AI
AI Data Labelling
Da
Data Science
Da
Data Visualization

Experience Level

AI Chatbot
Expert
AI Data Labelling
Expert
Data Science
Expert
Data Visualization
Expert

Language

English
Fluent
Tamil
Fluent
German
Intermediate

Education

Master in Data Analytics at University of Hildesheim
April 1, 2019 - May 31, 2021

Qualifications

Google Cloud Professional ML Engineer
March 10, 2024 - March 10, 2026

Industry Experience

Manufacturing, Computers & Electronics, Professional Services, Travel & Hospitality
    uniE613 AI Chatbot Developer
    Developed an internal AI chatbot solution for Siemens and Score Capital to enhance productivity by processing around 30,000 documents using GCP Search & Conversation. Implemented a Question-Answering system based on Large Language Models (LLMs), effectively managing real-time data and reducing noise for enhanced response quality. Specialized in Retrieval-Augmented Generation (RAG), leveraging frameworks like Langchain to create adaptive architectures tailored to user needs. Focused on prompt engineering and optimizing LLM performance to ensure accurate and efficient retrieval. Delivered the solution using tools such as Streamlit, Python, and GitLab CI/CD, effectively supporting internal teams. Key Accomplishments: Improved efficiency in internal processes through the automation of document retrieval and streamlined Q&A capabilities. Successfully managed and optimized noisy data, enhancing information retrieval quality for better decision-making. Tech Stack: Langchain, RAG, GCP, Python, Streamlit, ChatGPT, GitLab (CI/CD)

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