CakeResume 找人才
進階搜尋
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
United States
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
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 ~ 現在
・
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
就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
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
就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
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 ~ 現在
・
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
就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
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
就職中
・
目前沒有興趣尋找新的機會
全職 / 對遠端工作有興趣
15 年以上
Millersville University
・
Computer Science全職 / 對遠端工作有興趣
4 到 6 年
Southern Taiwan University of Science and Technology
・
Computer Science and Information Technology最輕量、快速的招募方案，數百家企業的選擇
搜尋履歷，主動聯繫求職者，提升招募效率。
- 瀏覽所有搜尋結果
- 每日可無限次數開啟陌生對話
- 搜尋僅開放付費企業檢視的履歷
- 檢視使用者信箱 & 電話
搜尋技巧
1
嘗試搜尋最精準的關鍵字組合
資深 後端 php laravel
2
將須完全符合的字詞放在雙引號中
"社群行銷"
3
在不想搜尋到的字詞前面加上減號，如果想濾掉中文字，需搭配雙引號使用 (-"人資")
UI designer -UX
職場能力評價定義
專業技能
該領域中具備哪些專業能力（例如熟悉 SEO 操作，且會使用相關工具）。
問題解決能力
能洞察、分析問題，並擬定方案有效解決問題。
變通能力
遇到突發事件能冷靜應對，並隨時調整專案、客戶、技術的相對優先序。
溝通能力
有效傳達個人想法，且願意傾聽他人意見並給予反饋。
時間管理能力
了解工作項目的優先順序，有效運用時間，準時完成工作內容。
團隊合作能力
具有向心力與團隊責任感，願意傾聽他人意見並主動溝通協調。
領導力
專注於團隊發展，有效引領團隊採取行動，達成共同目標。
專業背景
目前狀態
求職階段
目前沒有興趣尋找新的機會
專業
數據科學家
產業
工作年資
2 到 4 年
管理經歷
技能
語言能力
求職偏好
希望獲得的職位
Junior Data Scientist
預期工作模式
全職
期望的工作地點
遠端工作意願
對遠端工作有興趣
接案服務
學歷
學校
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