Dávid Natingga博士.D.
Verified Expert in Engineering
数据科学家和开发人员
Dávid helps his clients solve the most complex analytical problems using mathematics, data science, and technology. He has aided numerous clients, including big names like Infosys, Palantir, Suez, and TomTom. Dávid最热门的领域是高频时间序列分析. 他使不可能成为可能. 他的发明包括鲁棒傅里叶变换, 鲁棒异常检测, 克服了更高维度的诅咒. Dávid的优点包括好奇心、创造力和毅力.
Portfolio
Experience
Availability
首选的环境
亚马逊网络服务(AWS), SQL, Go, Julia, Python, TensorFlow, Git, Linux, XGBoost, Rust
The most amazing...
...algorithm optimization I performed was to replace a heavy stack of AWS instances with one mathematical formula, 在普通的笔记本电脑上,哪一个计算瞬间.
Work Experience
Data Scientist
Freelance
- 为瞬态检测创造了新的机器学习算法, localization, anomaly detection, 以及需求预测, 水力管网内.
- Contributed to a patented event-detection solution for the hydraulic time series.
- Designed and developed analytical solutions to tackle specific problems faced by water utility companies.
- Created data validation algorithms to validate imported data and to detect and correct corrupted time-series data.
- Built an automatic report generation tool to provide an overview of the quality of the data, 查明数据中的具体问题, 并检测数据捕获的设备的问题.
- 设计了一个可扩展的SQL数据库结构, 基于TimescaleDB扩展, 进行大规模的研究实验.
- Found bugs in the client's infrastructure and advised its simplification and decoupling to make it more robust and more efficient for working between development and data science teams.
- Created novel algorithms to detect mechanical misconfiguration of the sensor devices and correct the data from the misconfigured devices.
- Conducted an extensive statistical study on the uncertainty and confidence intervals of the data received from the monitoring devices.
- Developed a strategic roadmap and new architecture for advanced analytics.
Software Engineer
TomTom
- Figured out the specification of complex legacy GIS data for which no specification was known and migrated it successfully to a new format.
- Converted, processed, and generated the entire world map data used in navigation platforms around the globe.
- Developed probabilistic map data error detection tools for the given imperfect and erroneous data.
Data Scientist
Pact Coffee(实习生)
- 用Go语言开发了一种推荐新咖啡的算法, 没有用户反馈, 基于它们的内在属性.
- Achieved the algorithmic performance superior to a professional coffee connoisseur.
- 在普通硬件上提供快速的执行速度.
前向部署工程师
Palantir Technologies(实习生)
- Developed a document similarity search plugin for the Palantir Government platform with an integrated security layer for the Elasticsearch server, covering http and the Palantir internal authentication endpoint and access control list.
- 扩展代码库, 它包含了超过一百万行代码, 有有限的文件, 并且依赖于遗留软件.
- Updated the previously developed plugin, 用于地图的html -出口商, thus satisfying existing clients.
前向部署工程师
Palantir Technologies(实习生)
- 开发一个Java插件, 用于地图的html -出口商, exporting tiles, Palantir objects, KML objects, layers, and other map data from the Palantir Government platform to an HTML file.
- 在不兼容的地理信息系统之间转换瓦片.
- 直接与客户沟通, achieving a track record of successful deployments and uses of the plugin I developed.
脚背研究实习生
Infosys Labs
- Researched the optimization of parallel algorithms and analyzed asymmetric workload distribution, 导致出版.
- Implemented a home-grown sequence data mining algorithm on Nvidia (CUDA) graphic cards.
- 开发辅助工具,包括统计序列生成器.
Experience
寻找最佳电池尺寸
非侵入式负载监控
智能电动汽车充电
David has developed and successfully deployed a smart EV charging algorithm that takes care of the whole process using clever mathematics, 优化技术, 还有启发式算法.
猫,狗,还是熊猫?
Math Glass
http://play.google.com/store/apps/details?id=user.david.natingga.mathglass索菲娅猜数字
http://play.google.com/store/apps/details?id=user.david.natingga.sophianumberguesser你知道索菲亚是怎么猜出隐藏数字的吗?
Rust量子计算机模拟器
http://github.com/info-algohertz/quantum_simulationSkills
Tools
Git, GIS, Plotly, GitLab, GitHub
Paradigms
异常检测,数据科学,线性编程,敏捷
Platforms
Linux、NVIDIA CUDA、亚马逊网络服务(AWS)
Other
Mathematics, Algorithms, Machine Learning, 人工智能(AI), Statistics, Optimization, Research, 推荐系统, Forecasting, 时间序列分析, Number Theory, Data Analysis, 数据质量分析, Data Analytics, Data Reporting, 数学分析, 数学建模, 凸优化, 预测分析, Data Visualization, Google Cloud ML, Deep Learning, Object Recognition, Computer Vision, 计算机视觉算法, 深度神经网络, NLU, 自然语言理解(NLU), Big Data, Economics, Cost Reduction & Optimization, 线性优化, OR-Tools, 组合优化, Signal Processing, Quantum Computing, Simulations, 物理模拟, Quantum Mechanics, Time Series
Languages
Python, Julia, Go, Java, SQL, C, c++, Bash, JavaScript, Python 3, Rust
Libraries/APIs
TensorFlow, NumPy, Pandas, Scikit-learn, Keras, Matplotlib, Node.. js、JSON API、XGBoost
Storage
JSON
Education
Ph.D. 数学(可计算性理论)
利兹大学-利兹,英格兰,英国
计算机工程硕士(人工智能)
帝国理工学院-伦敦,英国
Certifications
Problem Solving
在线自由职业平台
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