Simon Clemp
Bis 2016, Data Scientist, Softeq Development
Munich, Deutschland
Über mich
Summary I am a professional full-stack developer specializing in Python and Javascript. I have a strong command of databases such as PostgreSQL, MySQL, SQLite, and MongoDB, and I am experienced in working with both REST and GraphQL APIs. With my extensive knowledge and proficiency in Python, Excel, and data analysis techniques, I am well-equipped to handle the tasks involved in this project. I have successfully completed similar projects in the past, enabling businesses to make informed decisions based on actionable insights derived from data. I am experienced in Machine Learning and Artificial Intelligence using Pytorch, Tensorflow, Keras, DNN, GAN, CNN, Sklearn, as they are currently trending and projected to gain even more popularity in the future. I have actively worked on projects involving AI and ML and have become well-versed in Python frameworks dedicated to AI and ML. Additionally, I have expertise in Data Analysis & Data Visualization using Pandas, Seaborn, Numpy, Matplotlib
Werdegang
Berufserfahrung von Simon Clemp
4 Jahre und 6 Monate, Juni 2019 - Nov. 2023
Software Engineer
Markitech
• Working as a Full Stack developer have been involved in building lakehop & cerendify, spot , DriveShare and so on - jQuery, HTML, AJAX, AWS Cloud- Agile & DevOps, NoSQL Database, Postgre -eCommerce / Retail / Client Domain etc • Voice cloning, text-to-image, image-to-text, voice chatbot and so on - chatgpt, openAI, react, node.js, gpt-3, gpt-4
3 Jahre, Mai 2016 - Apr. 2019
Machine Learning Engineer
Merantix Momentum
• Managed the whole pipeline of the brain injury detection system in real-time, train and deploy the ML model onto AWS service with docker, Kubernetes, Sagemaker, S3, EC2 and Lambda. • Cooperated with doctors and healthcare experts to design, develop some diagnosis systems using Computer Vision Techniques and deployed them on the AWS. • Designed and implemented an anomaly detection system that used machine learning algorithms such as SVM and Random Forest with OpenCV for image processing.
Core Competencies: - Data Analysis & Feature Design - Web Mining & Fair Machine Learning - Designing Prediction Models - Mastery in Unsupervised, Semi-supervised, and Supervised Machine Learning - Python expertise: Pandas, Numpy, Scikit-learn, Tensorflow, Keras, SciPy, and ChatGPT - Scholarly Writing & Research
Sprachen
Englisch
Fließend
Chinesisch
Gut