Timo Klock
Verified Expert in Engineering
Machine Learning Developer
Timo is a full-stack data scientist with eight years of professional experience in data-heavy applications and a PhD in machine learning and statistics. 他可以作为数据工程师在工业应用程序的数据生命周期中担任不同的角色, data scientist, ML engineer, or data analyst. Timo在Python和SQL以及许多现代数据框架方面经验丰富.
Portfolio
Experience
Availability
Preferred Environment
Python, Machine Learning, Operations Research, Applied Mathematics, Cloud, Containers, Relational Databases, SQL, Warehouses, 机器学习操作(MLOps)
The most amazing...
...project I have contributed to was to build up a commercial real estate analytics data platform for a small startup from scratch.
Work Experience
数据科学家,机器学习工程师
Legal Tech Scaleup
- 开发了一种数据驱动的领先评分算法,用于对即将提交的法律案件的质量进行分类.
- Conceptualized and developed extendable MLOps infrastructure that streamlines the development and maintenance of ML models using open-source software (OSS) and serverless infrastructure in GCP.
- Developed a data-driven model for scoring ongoing law cases with increasingly better data coverage.
- Informed stakeholders in biweekly meetings about the importance of setting up an MLOps infrastructure if ML is planned to be used more heavily in the company.
- 就与客户一般数据基础设施相关的问题进行咨询, 比如提高数据质量和数据覆盖率.
Data Platform Engineer
房地产分析平台
- Developed a cloud-based data platform on Google Cloud Platform (GCP) that fuels a commercial real estate analytics platform covering the Norwegian market.
- Researched data sources with the product team to conceptualize and develop new features for the analytics application.
- 从提取中实现数据管道, including web scraping, API connections, 数据转储导入使用DBT转换web应用程序的数据.
- Set up and maintained a self-hosted Airflow infrastructure to schedule data pipelines and various workflows.
- Delivered customized data sets for clients using the analytics application and made the data accessible through Streamlit applications.
- 使用Python的FastAPI框架实现和维护一个API, 为web应用程序开发人员提供无缝数据交付.
数据科学家,数据工程师
Simula Consulting
- 在多个与数据科学相关的项目中担任技术顾问, machine learning, and optimization.
- Developed the data science back end of the Norwegian COVID-19 tracking app Smittestopp for identifying contacts between potentially infected individuals based on Bluetooth and GPS data.
- Served as a data engineer and analyst for a biotech company involved in discovering new drugs for aggressive forms of bile duct cancer.
- Led a small team of developers to conceptualize and implement a large-scale solver for vehicle routing problems with several business constraints, 哪些是由公司的主要利益相关者定义的.
Postdoc and PhD Student
Simula Research Laboratory
- Wrote 10+ articles contributing to the fundamental understanding of commonly used methods in data science, machine learning, and AI. 论文均发表在国际知名期刊和会议上.
- 撰写关于新的元启发式优化方法的文章,例如基于共识的优化.
- 与圣地亚哥大学的顶尖研究人员建立了国际合作关系, Munich, Oslo, Genoa, and London.
- Co-supervised the research interns and PhD students working on data science and machine learning projects.
- 组织专题讨论会、讲习班、暑期学校和会议.
- 在暑期学校和研讨会上教授机器学习方法的课程.
- 向国际技术和非技术观众展示研究成果.
- Conducted long-term research visits to data science and math departments at the Technical University of Munich, 巴尔的摩的约翰霍普金斯大学, 以及加州大学圣地亚哥分校.
访问博士后学者
加州大学圣地亚哥分校
- Contributed to the fundamental understanding of generative models and deep neural networks in the Department of Mathematics at UCSD.
- 建立UCSD与奥斯陆Simula研究实验室之间的联系.
- 共同撰写科学论文,并向更广泛的受众传播研究成果.
Intern and Student Trainee
OHB System AG
- Acted as a full-time intern for six months and spent the next six months as a part-time student trainee in the systems engineering department of a spacecraft manufacturer OHB System.
- Developed a mathematical model for microforce emissions from reaction wheels on in-orbit satellites.
- Performed data analysis, modeling, and visualization for a comprehensive study about forces emitted by reaction wheels of in-orbit satellites.
- 利用研究数据建立数学模型.
- 共同撰写了一篇关于管理微振动对卫星性能影响的科学论文, 描述研究结果和开发的模型.
Student Research Assistant
University of Bremen
- Developed mathematical simulations of physical processes such as heat diffusion and stress and strain simulations.
- Implemented a C++ toolbox for solving the level set equation (transport equation) with mass conservation and interface re-initialization.
- Integrated level-set methods into two-phase heat equation solver based on extended finite elements and the FEniCS software framework.
- Co-authored conference presentations and technical reports about level-set methods and solving multi-phase heat equations.
Experience
国家电晕跟踪应用程序的数据分析后端
药物发现分析数据分析师
面向物流规模化的车辆路径优化
Education
信息学与应用数学博士
奥斯陆大学-奥斯陆,挪威
计算数学硕士学位
不莱梅大学-不莱梅,德国
Certifications
DP-900: Microsoft Azure数据基础
Microsoft
Apache Spark (TM) SQL for Data Analysts
Coursera
深度学习专业化
Coursera
Machine Learning
Coursera
Skills
Libraries/APIs
Scikit-learn, NumPy, SciPy, Pandas, TensorFlow, Matplotlib, Keras, PyTorch, Flask-RESTful, PyMongo, PySpark, Kepler.gl, XGBoost
Tools
MATLAB, Scikit-image, Plotly, GitHub, Git, OptaPlanner, ParaView, Pytest, Jira, Gradle, Jekyll, Azure App Service, Spark SQL, Apache Airflow, BigQuery, Docker Compose, AutoML
Paradigms
Data Science, 面向对象编程(OOP), Object-oriented Design (OOD), ETL, 测试驱动开发(TDD), REST, Continuous Deployment, Continuous Integration (CI)
Languages
Python, XML, YAML, SQL, R, Kotlin, HTML, CSS, Snowflake
Storage
JSON, Azure Cosmos DB, NoSQL, MongoDB, Relational Databases, PostgreSQL, Elasticsearch, Google Cloud
Frameworks
Flask, Bootstrap, Apache Spark, JUnit, Streamlit
Platforms
谷歌云平台(GCP), Docker, Azure, Azure PaaS, Databricks, Airbyte
Other
Applied Mathematics, Predictive Modeling, Machine Learning, Statistics, Dimensionality Reduction, Clustering, Regression, Classification, Data Inference, Statistical Learning, Optimization, 人工智能(AI), Data Analysis, Data Engineering, Dash, Metaheuristics, CVXOPT, Mathematical Modeling, 偏微分方程, Data Modeling, Deep Learning, Data Analytics, Cloud, 关系数据库服务(RDS), OR-Tools, 自然语言处理(NLP), Computer Vision, OpenStreetMap, Operations Research, GPT, 生成预训练变压器(GPT), Containers, Warehouses, 机器学习操作(MLOps), Data Build Tool (dbt), ELT, FastAPI, Poetry, Prefect, MLflow, HyperOpt
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