Benjamin STACH

about me

Hi I am Benjamin STACH ✋,

I'm a Junior Data Scientist with a passion for data-driven solutions. Specialized in Data Science and AI, I'm about to graduate from UTBM (Université de Technologie de Belfort-Montbéliard) with a Master Degree in Computer Science Engineering. Currently, I'm working at Orange (Leading Telecom operator in France) where I joined the DATA-AI INNOVATION team to achieve my end-of-study project.

I am deeply interested in the cutting-edge field of Generative AI and NLP, more precisely state-of-the-art neural network architectures. Exploring the complexities of these technologies has captivated me as I continually seek to learn more about it. Besides that, I really enjoy Software Development.

As a Data scientist, my goal is to leverage my skills and expertise to help organizations make informed decisions based on data. I'm constantly looking for new challenges and opportunities to expand my knowledge and skills, and I'm excited to see what the future holds for the field of data science.

More personally, I'm keen on travelling. Exploring diverse places, immersing in different cultures, and connecting through language fascinates me. That's the reason why I am completely open to all opportunities to work abroad.

If you want to know more about me, I invite you to look at my resume down bellow. 👇

See Resume

services

Data Science

Cleaning and preparing data for analysis. Working with large and complex data sets. Analysing by using statistical and analytical techniques to identify patterns, trends, and insights. Creating visual representations of data using charts, graphs, and provide a better understanding of the insights gained from data. Helping businesses making data-driven decisions by analyzing data and modeling techniques.

Machine Learning

Developing and implementing ML models for various applications such as anomaly detection, predictive maintenance, regression and natural language processing. Building and maintaining ML infrastructure, including data pipelines, training and inference systems, and deployment pipelines. Integrating ML models into existing systems and applications, such as web services, mobile apps, and databases.

Computer Vision

Developing and implementing computer vision algorithms and models for various applications such as object recognition, tracking, and image segmentation. Designing and optimizing computer vision systems to improve their performance, accuracy, and efficiency. Integrating computer vision models into existing systems and applications, such as autonomous vehicles, drones, and security systems.

Development

Designing and implementing web applications using state-of-the-art frameworks. Developing and implementing back-end services and APIs using popular server-side technologies. Developing and maintaining databases, including designing data schemas, optimizing database queries, and ensuring data security and integrity.