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Data Scientist

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  • 85748 Garching bei München
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  • pt  |  en
  • 16.11.2024
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Kurzvorstellung

Passionate data scientist with a strong work ethic and enjoys working as a team.

Auszug Referenzen (4)

"Mr. Bartholomeu did a great job with implementing RAG architectures, LLMs and LLM agents"
Data and Machine Learning Engineer
Kundenname anonymisiert
Tätigkeitszeitraum

1/2024 – 9/2024

Tätigkeitsbeschreibung

Developed a recommendation system that predicts the breaking point of material using a Machine Learning model using as input the forces applied to said material and its composition.

Eingesetzte Qualifikationen

Data Science, Data Warehousing, Datenanalyse, Data Engineer

"Data Analysis, Data Engineering and Machine Learning as well as implementation of DevOps Pipelines in execution and as project manager"
Deep Learning Engineer
Bastian Knaus
Tätigkeitszeitraum

11/2023 – 6/2024

Tätigkeitsbeschreibung

Development of Continuous Kinetic Model for Hand Movement Prediction Using Electrical Impedance Tomography. Thesis project involving implementation of data preprocessing pipeline using an Azure Blob Storage API and Convolutional Neural Networks to predict 3D hand joint coordinates using a 1D signal.

Eingesetzte Qualifikationen

Pandas, Pytorch, Scikit-learn, Tensorflow, Data Engineer, Data Science, Data Warehousing, Machine Learning Engineer

"Mr Bartholomeu provided data analysis and implemented a time series based machine learning algorithm. He thereby exceeded all expectations"
Machine Learning Engineer
Bastian Knaus
Tätigkeitszeitraum

7/2023 – 1/2024

Tätigkeitsbeschreibung

Implementation of a ML Pipeline for predicting bicycle KPIs via regression models (Scikit-learn)

Eingesetzte Qualifikationen

Data Science, Machine Learning Engineer, Scikit-learn, Data Analyst

"He did a great job, was very quick and reliable."
Software Developer
Kundenname anonymisiert
Tätigkeitszeitraum

1/2023 – 3/2023

Tätigkeitsbeschreibung

Built a Time attendance manager application with an asynchronous Python API that could manage the schedule of employees, layoff days, employee list and the hierarchy between employees with the use of SQL Server.

Eingesetzte Qualifikationen

Microsoft SQL-Server (MS SQL), SQL, Database Developer, Python, Software engineering / -technik

Weitere Referenzen anzeigen

Qualifikationen

  • Data Science1 J.
  • Large Language Models
  • Microsoft Azure
  • API-Entwickler
  • Cloud-Services
  • Data Analyst
  • Data Engineer
  • Docker1 J.
  • Google Cloud
  • Machine Learning Engineer1 J.
  • Pytorch
  • Tensorflow

Projekt‐ & Berufserfahrung

Data Scientist
Enari GmbH, Munich
9/2024 – offen (4 Monate)
IT & Entwicklung
Tätigkeitszeitraum

9/2024 – offen

Tätigkeitsbeschreibung

Development of a SurfAI Coach Application that leveraged the capabilities of Llava-next video-to-text model, to process and extract detailed analysis from a video and generate captions and suggestions for improvement.

Setup the training, fine-tuning and deployment infrastructure using HuggingFace.

Created a fullstack application to display the results of the fine-tuned model.

Eingesetzte Qualifikationen

Data Science, Machine Learning Engineer, Google Cloud, Cloud-Services

Data Scientist
Digital Loop, Munich
4/2024 – 9/2024 (6 Monate)
IT & Entwicklung
Tätigkeitszeitraum

4/2024 – 9/2024

Tätigkeitsbeschreibung

Developing and implementing Large Language Model integrations for SEO projects, LLM benchmarking, project management

Eingesetzte Qualifikationen

Pandas, Prompt Engineering, Pytorch, Tensorflow, Data Science, Datenanalyse, Deeplearning4j, Large Language Models

Data and Machine Learning Engineer
Hybrid Digital, Munich
1/2024 – 9/2024 (9 Monate)
IT & Entwicklung
Tätigkeitszeitraum

1/2024 – 9/2024

Tätigkeitsbeschreibung

Developed a recommendation system that predicts the breaking point of material using a Machine Learning model using as input the forces applied to said material and its composition.

Eingesetzte Qualifikationen

Data Science, Data Warehousing, Datenanalyse, Data Engineer

Deep Learning Engineer
Enari GmbH, Munich
11/2023 – 6/2024 (8 Monate)
IT & Entwicklung
Tätigkeitszeitraum

11/2023 – 6/2024

Tätigkeitsbeschreibung

Development of Continuous Kinetic Model for Hand Movement Prediction Using Electrical Impedance Tomography. Thesis project involving implementation of data preprocessing pipeline using an Azure Blob Storage API and Convolutional Neural Networks to predict 3D hand joint coordinates using a 1D signal.

Eingesetzte Qualifikationen

Pandas, Pytorch, Scikit-learn, Tensorflow, Data Engineer, Data Science, Data Warehousing, Machine Learning Engineer

Machine Learning Engineer
Porsche, Munich
7/2023 – 1/2024 (7 Monate)
IT & Entwicklung
Tätigkeitszeitraum

7/2023 – 1/2024

Tätigkeitsbeschreibung

Implementation of a ML Pipeline for predicting bicycle KPIs via regression models (Scikit-learn)

Eingesetzte Qualifikationen

Data Science, Machine Learning Engineer, Scikit-learn, Data Analyst

Software Developer
Raceland Automação, Porto
1/2023 – 3/2023 (3 Monate)
IT & Entwicklung
Tätigkeitszeitraum

1/2023 – 3/2023

Tätigkeitsbeschreibung

Built a Time attendance manager application with an asynchronous Python API that could manage the schedule of employees, layoff days, employee list and the hierarchy between employees with the use of SQL Server.

Eingesetzte Qualifikationen

Microsoft SQL-Server (MS SQL), SQL, Database Developer, Python, Software engineering / -technik

Software Developer
Raceland Automação, Porto
4/2022 – 6/2023 (1 Jahr, 3 Monate)
IT & Entwicklung
Tätigkeitszeitraum

4/2022 – 6/2023

Tätigkeitsbeschreibung

Engineered a flexible home automation software, using Python and Lit Element/Webcomponents, deploying corresponding mobile apps on Apple's App Store and Google's Play Store using webview technology. Utilized Siemens S7-1200 PLCs for motorhome systems control and integrated YOLOv5 and OpenAI's Whisper for object and voice recognition respectively.

Eingesetzte Qualifikationen

Docker, Mobile Application Development, Python, Software engineering / -technik, Web Services

Weitere Projekt‐ & Berufserfahrung anzeigen

Ausbildung

Masters
Data Science
Faculdade de Engenharia da Universidade do Porto
2024
Porto
Bachelors
Physics Engineering
Faculdade de Ciências da Universidade do Porto
2022
Porto

Über mich

I am a highly skilled Data Scientist from Portugal, holding a Bachelor’s in Physics Engineering and a Master’s in Data Science. My expertise spans multiple industries and countries, where I have demonstrated my ability to deliver valuable insights and solutions through the application of Machine Learning, Deep Learning, and Data Engineering. I excel in designing neural network architectures and deploying models across various infrastructures, including OpenAI and Hugging Face. My end-to-end capabilities range from data collection, preparation, and processing to ensuring GDPR-compliant data storage and handling. I possess strong software development experience, working as a full-stack developer across both backend and frontend systems, with a particular focus on API integration and frameworks like React.

Weitere Kenntnisse

In addition to my technical skills, I specialize in building and fine-tuning machine learning and deep learning models, tailoring them to specific business needs and ensuring seamless deployment into production environments. I have extensive experience working with both neural networks and pre-trained models, leveraging state-of-the-art architectures and technologies for optimal performance. My development skills span Python, JavaScript, and TypeScript, where I have designed robust backend systems, handled complex API requests, and built intuitive user interfaces. With a strong ability to work independently, I thrive in team environments and am a natural leader, known for guiding teams effectively and fostering collaborative work dynamics

Persönliche Daten

Sprache
  • Portugiesisch (Muttersprache)
  • Englisch (Fließend)
Reisebereitschaft
auf Anfrage
Arbeitserlaubnis
  • Europäische Union
Home-Office
unbedingt
Profilaufrufe
72
Alter
24
Berufserfahrung
2 Jahre und 10 Monate (seit 02/2022)
Projektleitung
2 Jahre

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