CakeResume 找人才
进阶搜寻
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
United States
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
National Cheng Kung University
・
心理所（認知科學所）
商業分析師 @凱基商業銀行股份有限公司2021 ~ 现在
・
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
一個月內
姚璇亨 Henry Yao 以人為本、技術為準；整合資源、解決問題；探索未知、建構知識。 Email: [email protected] ｜LINE: heinz.yao 工作經歷 凱基商業銀行股份有限公司：商業分析師 （DecNow） 第二波「鷹眼識詐聯盟」技術轉移，負責資料工程與模型導入之 Python 程式開發 運用 LightGBM 演算法建立預
就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
4 到 6 年
國立政治大學（National Chengchi University）
・
數位內容
Principal @Cascade Data Labs2016 ~ 2022
・
Director Data
兩個月內
Emily Ledoux Delivery Principal Seasoned Delivery Principal in the Data Practice. Focused on designing robust, scalable data ecosystems in the cloud to feed insights and data visualizations. Well-rounded consultant with experience spanning sales, recruiting, and delivery. Proven Delivery & Client Lead. Portland, OR, USA https://www.linkedin.com/in/emily-ledoux/ Work Experience JanuaryPresent Principal Data Architect Kin + Carta Delivery or Client Lead for over 25 resources, including direct reports, delivery oversight, hours tracking, QBRs, onboarding management, budget ownership and related responsibilities. Cloud Architect, designing Azure and
就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
6 到 10 年
University of Pennsylvania
・
Economics
Senior Analyst, Software Engineer @Synpulse Taiwan Ltd. | 星普思管理諮詢有限公司2022 ~ 现在
・
Software Developer
一個月內
李仕航 Sean Lee About me • Capable in multiple programming languages, such as Python, Java, C#, etc. •With mature database management skills, including SQL and NoSQL DB • Experience with development tools, like Visual studio, Azure, Git, Gira •With knowledge of web development, including HTML, CSS, ASP.NET, Javascript, React.js • With AI related knowledge, including NLP, machine learning and data manipulation •Be able to pick up new skills and stay updated of emerging technologies Taipei, Taiwan Contact Email: [email protected] Mobile:LinkedIn: https://www.linkedin.com/in
就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
4 到 6 年
Queensland University of Technology(昆士蘭科技大學)
・
Computer ScienceContent Writer @BrandYourself2018 ~ 2021
・
UI/UX Designer, Instructional Designer, Illustrator, Teaching
半年內
就职中
・
目前没有兴趣寻找新的机会
全职 / 对远端工作有兴趣
15 年以上
Millersville University
・
Computer Science全职 / 对远端工作有兴趣
4 到 6 年
Southern Taiwan University of Science and Technology
・
Computer Science and Information Technology最轻量、快速的招募方案，数百家企业的选择
搜寻简历，主动联系求职者，提升招募效率。
- 浏览所有搜寻结果
- 每日可无限次数开启陌生对话
- 搜尋僅開放付費企業檢視的简历
- 检视使用者信箱 & 电话
搜寻技巧
1
Search a precise keyword combination
senior backend php
2
Use quotes to search for an exact phrase
"business development"
3
Use the minus sign to eliminate results containing certain words
UI designer -UX
职场能力评价定义
专业技能
该领域中具备哪些专业能力（例如熟悉 SEO 操作，且会使用相关工具）。
问题解决能力
能洞察、分析问题，并拟定方案有效解决问题。
变通能力
遇到突发事件能冷静应对，并随时调整专案、客户、技术的相对优先序。
沟通能力
有效传达个人想法，且愿意倾听他人意见并给予反馈。
时间管理能力
了解工作项目的优先顺序，有效运用时间，准时完成工作内容。
团队合作能力
具有向心力与团队责任感，愿意倾听他人意见并主动沟通协调。
领导力
专注于团队发展，有效引领团队采取行动，达成共同目标。
专业背景
目前状态
求职阶段
目前没有兴趣寻找新的机会
专业
数据科学家
产业
工作年资
2 到 4 年
管理经历
技能
语言能力
求职偏好
希望获得的职位
Junior Data Scientist
预期工作模式
全职
期望的工作地点
远端工作意愿
对远端工作有兴趣
接案服务
学历
学校
主修科系
Arya Eshraghi
A data scientist, machine learning engineer, solution architect, and technical salesman all at once. I have a diverse educational and professional background with a strong grounding in data analytics, critical thinking, and public speech. GCP Professional Data Engineer certified.
Data Scientist & ML Engineer
CA, US
[email protected]
Skills
Languages and Technologies
Python, Scala, SQL, C, Docker, NumPy, SciPy, Pandas, SciKitLearn, Matplotlib. Seaborn, StatsModels, Keras, TensorFlow, Apache Beam, Airflow, Kafka, Beautiful Soup, Flask, GCP & AWS technologies and APIs
Methods
Regression, Classification, Ensemble & Boosting Methods, Data Viz, Statistics (Bayesian and Frequentist), Machine Learning, Artificial Neural Networks, Time-Series Analysis, NLP, Web Scraping, Critical Thinking, Creative Problem Solving
Experience
SpringML - Data Scientist, ML Engineer, Technical Sales, Solution Architect, September 2018 - Present
- Built high impact production models for some of the largest international companies in the silicon manufacturing and beverage production spaces as well as a visual pothole detection model for the city of Memphis, Tennessee
- Architected, developed, deployed, and productionized pipelines to support our models, client cloud migration efforts, and integrations with existing client systems & procedures including building front-end interfaces and APIs in Flask
- Mentored new SpringML employees as well as engineers of clients on best practices and GCP technologies
- Performed technical sales role both on-site and remotely an managed client & partner relationships made through conferences such as Google Next & the Tensorflow Dev Summit
- Spoke at conferences hosted by Google regarding ML pipelines and manned our booth at NEXT
- Wrote and edited blog posts for marketing purposes
General Assembly Data Science Immersive - Student, April 2018 - July 2018
- Modeled day ahead energy pricing using SARIMA as part of a larger effort to create an automated bidding script for MISO energy markets
- Worked in a team on Kaggle's West Nile Virus competition - despite specifically using only basic modeling techniques, outperformed many more complex models in both performance and predictive accuracy by focusing on domain understanding and novel feature analysis & engineering
- Analyzed 15k reddit comments across a variety of communities to determine defining characteristics of viral posts by means of NLP
Qrvey - Technical Evangelist, March 2016 – September 2016
- Participated in ideation and initial design of platform back in 2015
- Collected, cleaned, and analyzed datasets using the platform to showcase Qrvey and InforaphiQ features
- Scraped and curated multiple datasets of contacts for various marketing projects
- Showcased the product strategically at tech conferences such as LAUNCH and TC Disrupt to build a network of VC capital, business partners, and sales prospects
- Wrote and edited blog posts for marketing purposes
- Performed wide-spectrum competitive analysis in order to find our products niche
Votivate It - Founder, June 2015 – 2016
- Ideated and founded VI to give employees in companies a voice that could reach the C-Suite
- Analyzed existing solutions in the space to carve out a niche
- Developed a unique data collection model and reporting system to ensure data integrity and actionability at any point in time, as well as across any timespan
Eikones Photography - Founder, May 2013 – June 2014
- Performed freelance shoots for businesses as well as creating panoramic walkthrough tours integrated with Google Maps for the Google Business Photos Program as an independent photographer
- Performed all marketing, operations, and outreach/sales independently, learning the ropes of managing a small start-up
Capterra - Summer Intern, June 2009 – August 2009
- Cleaned a large spreadsheet of previous sales and contact information for an outreach effort using macros instead of basic data entry methods, saving the team six weeks of mind-numbing manual entry and outreach
- Used Google AdWords and analytics to compile a list of recommended search terms that would maximize exposure and minimize cost per impression
Education
St. John's College
Class of 2015 - B.A. Liberal Arts
Critical thinking & communication, Classics, mathematics, natural sciences, music, philosophy, literature, history, and Attic Greek & French
Ecole 42 USA
Cadet - Sept. 2016 - Jan. 2017
Studied fundamentals of computing and legacy C programming in a unique autodidactic and peer to peer pedagogy
General Assembly
Data Science - Apr. 2018 - July 2018
Learned data science methods and concepts in a rigorous 12 week immersive course
Arya Eshraghi
A data scientist, machine learning engineer, solution architect, and technical salesman all at once. I have a diverse educational and professional background with a strong grounding in data analytics, critical thinking, and public speech. GCP Professional Data Engineer certified.
Data Scientist & ML Engineer
CA, US
[email protected]
Skills
Languages and Technologies
Python, Scala, SQL, C, Docker, NumPy, SciPy, Pandas, SciKitLearn, Matplotlib. Seaborn, StatsModels, Keras, TensorFlow, Apache Beam, Airflow, Kafka, Beautiful Soup, Flask, GCP & AWS technologies and APIs
Methods
Regression, Classification, Ensemble & Boosting Methods, Data Viz, Statistics (Bayesian and Frequentist), Machine Learning, Artificial Neural Networks, Time-Series Analysis, NLP, Web Scraping, Critical Thinking, Creative Problem Solving
Experience
SpringML - Data Scientist, ML Engineer, Technical Sales, Solution Architect, September 2018 - Present
- Built high impact production models for some of the largest international companies in the silicon manufacturing and beverage production spaces as well as a visual pothole detection model for the city of Memphis, Tennessee
- Architected, developed, deployed, and productionized pipelines to support our models, client cloud migration efforts, and integrations with existing client systems & procedures including building front-end interfaces and APIs in Flask
- Mentored new SpringML employees as well as engineers of clients on best practices and GCP technologies
- Performed technical sales role both on-site and remotely an managed client & partner relationships made through conferences such as Google Next & the Tensorflow Dev Summit
- Spoke at conferences hosted by Google regarding ML pipelines and manned our booth at NEXT
- Wrote and edited blog posts for marketing purposes
General Assembly Data Science Immersive - Student, April 2018 - July 2018
- Modeled day ahead energy pricing using SARIMA as part of a larger effort to create an automated bidding script for MISO energy markets
- Worked in a team on Kaggle's West Nile Virus competition - despite specifically using only basic modeling techniques, outperformed many more complex models in both performance and predictive accuracy by focusing on domain understanding and novel feature analysis & engineering
- Analyzed 15k reddit comments across a variety of communities to determine defining characteristics of viral posts by means of NLP
Qrvey - Technical Evangelist, March 2016 – September 2016
- Participated in ideation and initial design of platform back in 2015
- Collected, cleaned, and analyzed datasets using the platform to showcase Qrvey and InforaphiQ features
- Scraped and curated multiple datasets of contacts for various marketing projects
- Showcased the product strategically at tech conferences such as LAUNCH and TC Disrupt to build a network of VC capital, business partners, and sales prospects
- Wrote and edited blog posts for marketing purposes
- Performed wide-spectrum competitive analysis in order to find our products niche
Votivate It - Founder, June 2015 – 2016
- Ideated and founded VI to give employees in companies a voice that could reach the C-Suite
- Analyzed existing solutions in the space to carve out a niche
- Developed a unique data collection model and reporting system to ensure data integrity and actionability at any point in time, as well as across any timespan
Eikones Photography - Founder, May 2013 – June 2014
- Performed freelance shoots for businesses as well as creating panoramic walkthrough tours integrated with Google Maps for the Google Business Photos Program as an independent photographer
- Performed all marketing, operations, and outreach/sales independently, learning the ropes of managing a small start-up
Capterra - Summer Intern, June 2009 – August 2009
- Cleaned a large spreadsheet of previous sales and contact information for an outreach effort using macros instead of basic data entry methods, saving the team six weeks of mind-numbing manual entry and outreach
- Used Google AdWords and analytics to compile a list of recommended search terms that would maximize exposure and minimize cost per impression
Education
St. John's College
Class of 2015 - B.A. Liberal Arts
Critical thinking & communication, Classics, mathematics, natural sciences, music, philosophy, literature, history, and Attic Greek & French
Ecole 42 USA
Cadet - Sept. 2016 - Jan. 2017
Studied fundamentals of computing and legacy C programming in a unique autodidactic and peer to peer pedagogy
General Assembly
Data Science - Apr. 2018 - July 2018
Learned data science methods and concepts in a rigorous 12 week immersive course