Jakob

Über mich

Ich bin seit diesem Jahr Machine Learning Engineering Freelancer und bringe einige Jahre Erfahrung als Data Science Consultant und Python Entwickler mit. In der Vergangenheit habe ich verschiedene Unternehmen aus der Energiebranche zur Vorhersage der Energienachfrage beraten und gemeinsam mit meinen Kunden Zeitreihenvorhersage-Algorithmen sowie die dazugehörigen ML-Ops Architekturen entwickelt. Ich unterstütze meine Kunden bei dem Aufbau von Machine Learning Architekturen in Azure und AWS und der Entwicklung und Verbesserung von Modellen end-to-end.

Skills

Expert:in

Machine Learning

Data Science

Python

Azure Cloud

Amazon Web Services

Fortgeschritten

DevOps

PostgreSQL

Junior:in

Generative AI

R

Power BI

Elasticsearch

Projekte

Architecture design and implementation of MLOps

Trawa · Sonstige Branche

2024
Design an MLOps architecture with MLFlow and Airflow on AWS

Implement the MLOps MVP for forecasting models

Enable Data Scientists and Engineers in MLOps best practice

Review forecasting feature engineering and modeling and provide expert input

Reference: Max Lüddemann, CTO & Co-founder
Energy Demand Forecasting – Modeling and Implementation

Multinational energy utility company · Sonstige Branche

2022 — 2024
Create time series forecasting algorithms for the prediction of short-term power and gas demand

Define requirements in collaboration with business users

Prepare and moderate data architecture workshops

Model development (statistical, Regression, Forests, Prophet, MLP), feature engineering and hyperparameter optimization using Darts and Sklearn

Design and build ingestion architectures in Azure Data Factory

Data transformation, pseudonymization, and aggregation in PySpark on Azure Databricks

Set up ML-Ops on Azure Machine Learning

Prepare & Lead Data Science training enabling forecasting analysts

Roll out forecasting system to different countries
Cloud migration of a data analytics trading tool for renewable energies

German electric utility company: · Sonstige Branche

2022
Plan and implement the migration from Palantir to AWS cloud, including data sourcing and ETL processes

Analyze requirements and design a target architecture

Access various data sources in AWS Sagemaker and AWS Lambda

Implement data transformations with PySpark on AWS Glue

Alle Projekte ansehen

Machine Learning Engineer

Über mich

Skills

Projekte

Architecture design and implementation of MLOps

Energy Demand Forecasting – Modeling and Implementation

Cloud migration of a data analytics trading tool for renewable energies

Azure Data Scientist Associate

Azure Fundamentals

Certified Predictive Modeler

Projektmanagement Basiszertifikat

Jakob ist Freelancer:in bei Junico