Daniel Yinanc, Developer in Toronto, ON, Canada
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Daniel Yinanc

Verified Expert  in Engineering

DevOps Developer

Location
Toronto, ON, Canada
Toptal Member Since
February 6, 2019

丹尼尔是一名产品经理，在这个领域有大约十年的经验, 尤其擅长数据科学和机器学习领域. 曾担任数据科学家和首席顾问，专门从事数据科学和产品管理, he has the required experience, 技能和成熟度，协助任何客户设计和领导最具战略意义的人工智能开发, Analytical and Big Data products.

AWS DevOpsInformation SecurityDevSecOpsDevOpsUnit TestingJenkinsJavaNode.jsExpress.jsMySQLScalaElasticsearchSpring BootTensorFlowETL

Availability

Part-time

Preferred Environment

Cybersecurity

The most amazing...

...我所做的一件事就是在创立油气行业第一家也是唯一一家精益敏捷创业公司的同时，发明了一种精炼技术.

Work Experience

Data Platform Engineering | Product Manager

2020 - 2022
Apple
  • Led and launched Asgard, 包含人工智能的机器学习数据平台, MLOps, data analysis, data visualization, and data custodianship capabilities.
  • 管理异常检测系统的产品设计和开发，用于检测故障请求, employing a KNN clustering algorithm, using Caret with high accuracy, and reducing operator waste time by over 80 percent.
  • Directed the product design and development of a Chatbot, 通过Rasa利用NLP将Slack支持渠道上的人为干预减少了50%.
  • Oversaw the product design and development of FleetView, 一个星型模式数据仓库，将来自40多个服务的信息组合在一个窗格中，将服务器分配sla从3个多星期减少到不到一天.
  • Built a fully remote pipeline, DataOps, MLOps, machine learning, and architecture practice from the ground up, growing it to 20+ engineers and architects. 制定培训和职业发展计划，指导他们成为10倍远程工程师.
Technologies: 机器学习，人工智能，数据管理平台，ETL, Data Governance, Dashboards, Big Data Architecture

Principal Data Scientist | Technical Product Manager

2019 - 2020
Automation Anywhere
  • 管理产品设计和开发新的基于图遍历的算法来识别过程中的路径. 该算法是Discovery Bot产品的核心推动者, allowing auto-development of bots from discovered paths.
  • 领导设计和开发利用KNN集群的新型过程指纹识别算法. 这个算法使我们能够理解过程之间的相互关系, 导致在ms中使用图形算法，并且具有非常高的精度.
  • 监督数据管道的设计和开发，将流程发现数据从客户端设备提取到支持数据可视化的中央数据仓库，成本比竞争供应商平台低50%.
  • 指导数据湖屋的设计和开发，作为核心分析, training, 模型部署平台使机器学习模型开发和部署的速度提高了10倍.
  • 领导Discovery Bot的机器学习实践，负责一个机器学习工程师团队, 通过开发新的图分析和机器学习模型来解决过程挖掘和过程发现的挑战.
技术:机器学习，数据科学，图形，优化，人工智能(AI)

Data Scientist | Management Consultant

2014 - 2019
Rainmaker Technologies Inc.
  • 负责启动外部客户的初创产品，让它们在数据科学领域启动并运行, machine learning, eCommerce, and enterprise products domains.
  • Led and launched Raincheck, 一个与LivingSocial和Groupon竞争的优惠券销售平台, in less than six months, 作为MVP从之前的管理失败的产品发布中恢复产品.
  • Directed product design and development for ChatFish, 这是一个行业内部的人工智能聊天机器人平台，旨在为房地产经纪人和医疗专业人士打上白色标签，从而成功推出产品.
  • 管理一家油气初创公司的战略产品营销工作，该公司创造了一种新的炼油技术, 将精炼过程的碳足迹减少50%以上.
  • 监督针对电信行业在线结账流程的推荐引擎的产品设计和开发工作, which led to a 20 percent decrease in abandoned shopping carts.
  • Built and managed product, design, and data science teams, supporting all machine learning, data strategy, 以及注重紧密合作的产品设计文化, transparency, and mentoring within the work hard/have fun framework.
Technologies: Machine Learning, Artificial Intelligence (AI), Computer Vision, Natural Language Processing (NLP), Generative Pre-trained Transformers (GPT), GPT, Recommendation Systems, Market Segmentation

Data Scientist

2011 - 2014
Mawer Investment Mgmt Ltd.
  • 为理财客户建立客户流失随机森林模型，通过及时提供支持电话，将可能搬家的客户月留存率提高50个基点.
  • 与投资组合支持团队合作，使用K最近邻(KNN)聚类算法确定目标客户群, improving the cold call conversion rate by over 30 percent.
  • Conceptualized and developed a business intelligence, 投资组合回报分析内部网web应用程序，将公司与外部数据库连接起来，并在表中交付分析, graphical, and pivot formats.
  • 编制和分析股票和固定收益证券价格数据, 寻找潜在的错误定价机会，导致超过1000万美元的交易.
  • 实现时间序列分析，以开发权益基准，以便与资产管理中使用的内部权益模型进行比较, 从而减少基准偏差，提高基金业绩.
  • 担任数据保管人，负责公司数据完整性和证券定价、基金业绩数据的访问安全.
Technologies: MongoDB, Mercurial, SQL, Talend, Object-relational Mapping (ORM), Microsoft SQL Server, Natural Language Toolkit (NLTK), Scikit-learn, Pandas, NumPy, Python, JavaScript, Node.js, NoSQL, Jakarta EE, Java

DevOpsicon

http://github.com/devopsicon
DevOpsIcon组织的目的是为了开源社区的利益而进行演示, 使用真实组件开发真实应用的最佳实践:

- Rest Microservices (Sales, Expenses, and Users)
- Customer Facing (Hybrid Mobile App)
- Message Bus Microservices (Files)
- Tool agnosticity (all build tools can do the job)
- Language agnosticity (all languages can do the job)

Paradigms

Unit Testing, Functional Testing, DevSecOps, DevOps, ETL, Functional Programming, Concurrent Programming, Test-driven Development (TDD), Behavior-driven Development (BDD), Object-relational Mapping (ORM), Microservices, Penetration Testing, Data Science

Industry Expertise

Cybersecurity, Security, IT Security

Other

AWS DevOps, Cloud, Pipelines, Performance Testing, APM, Application Security, Information Security, Cloud Services, Agile Software Testing, Static Application Security Testing (SAST), Dynamic Application Security Testing (DAST), Security Audits, Relational Database Services (RDS), API Gateways, Artificial Intelligence (AI), Machine Learning, Boot, Tornado, Computer Vision, Natural Language Processing (NLP), Recommendation Systems, Market Segmentation, Graphs, Optimization, Data Management Platforms, Data Governance, Dashboards, Big Data Architecture, GPT, Generative Pre-trained Transformers (GPT)

Languages

Java, JavaScript, Scala, Erlang, SQL, Python

Frameworks

Spring Boot, Express.js、React Native、Akka、AngularJS、Hadoop、Spark、Django、Angular、Koa

Libraries/APIs

React, TensorFlow, Keras, Scikit-learn, Node.js, NumPy, Pandas, Natural Language Toolkit (NLTK)

Tools

Jenkins, Travis CI, CircleCI, RabbitMQ, Gradle, Git, Apache Maven, GIS, Mercurial, Terraform

Platforms

Kubernetes, Docker, VMware Tanzu Application Service (TAS) (Pivotal Cloud Foundry (PCF)), OpenStack, Azure, Jakarta EE, Android, Talend, Amazon EC2, Amazon Web Services (AWS)

Storage

MySQL, MongoDB, Elasticsearch, Microsoft SQL Server, Redis, Google Cloud, NoSQL, Sybase, PostgreSQL, Neo4j

2008 - 2010

Master of Engineering Degree in Telecommunications Engineering

University of Alberta - Edmonton, AB

2005 - 2007

创新与商业国际工商管理硕士学位

Schulich School of Business - Toronto, ON

2001 - 2005

Bachelor of Science Degree in Mathematics and Physics

Rutgers University - New Brunswick, NJ