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智慧製造全端開發工程師 @聯華電子股份有限公司2022 ~ Sekarang
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AI工程師、機器學習工程師、深度學習工程師、影像演算法工程師、資料科學家、Ai Application Engineer,Machine Learning Engineer,Deep Learning Engineer,Data Scientist
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Siap untuk wawancara
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元智大學 Yuan Ze University
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工業工程與管理學系所工程師 @永豐金證券2018 ~ Sekarang
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Python Developer, Rust Developer, BigData Engineer
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國立東華大學 | National Dong Hwa University
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Arts and Creative Industries
Senior Machine Learning Engineer @C-Media Electronics2020 ~ 2021
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Machine Learning Scientist, Data Scientist
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Hao-Chun (Chad) Yang Ph.D Ph.D Graduate @NTHU (EE) | Seeking AI/ML R&D Position | Speech, IOT, Health Informatics, Computational Neuroscience | pytorch, tensorflow Room 315, General Building III, No. 101, Section 2, Kuang-Fu Road,Hsinchu City, Taiwan Skills Programming Programming: Python, Matlab DevOps: AWS, GCP, Git, Docker Deep Learning: Pytorch, Tensorflow, Keras ML& Data Science: Sklearn, Numpy, Pandas, Matplotlib MLOps: MLflow, W&B Special HonorsBest Challenge Poster - Physionet/CINC ChallengeTravel Grants - IEEE SPS SocietyPresident Scholarship - NTHU Education National Tsing Hua University Ph.D. in Electrical Engineering (SepPresent) National Tsing
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4-6 tahun
清華大學
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電機工程創辦人 @酷喬伊科技有限公司2020 ~ Sekarang
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Python developer
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Fu Jen Catholic University
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Major, Optical Physics, Minor, Finance and international business
Machine Learning Engineer @Tata Consultancy Services2021 ~ Sekarang
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Software Engineer, Machine Learning
Lebih dari satu tahun
working on Data Science and Machine Learning Projects to develop modern day smart systems that will help in various steps of Supply Chain Management. Technical Skills: Python SQL PL/SQL JAVA AI / Machine Learning Data Science Data Analysis Statistical Analysis Predictive Analysis Hypothesis Data Visualization Pandas / NumPy Exploratory Data Analysis Scikit Learn / PySpark Seaborn / Matplotlib Domain Skills: Supply Chain Management Manufacturing Inventory Management Shipping Warehouse Management Pricing Account Receivables Education : Some Projects: Inventory Management : Real-time insights and visibility into inventory along the supply lines. Optimizing Delivery timelines by predictive demand and supply
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The University of Texas at Austin
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Post Graduate Program in Artificial Intelligence and Machine LearningSr. Machine Learning Engineer @Micron Technology 台灣美光2022 ~ Sekarang
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Data Scientist
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. Good at self-learning, Desire to recognize the real world through Data. Data Scientist Taichung，TW Birth :Email : [email protected] 技能 Skills Programming C# Socket WInForm Thread I/O WinAPI Visual Studio IDE Visual Studio Visual Studio Code AI Python Tensorflow Keras NumPy Pandas Matplotlib Azure DevOps Machine Learning Service Storage Explorer Batch service Data Factory Tools Jupyter Notebok PyCharm Visual Studio code Version control Git SVN Azure DevOps Repo 知識 Knowledge Languages Chinese - Mandarin Native language Chinese - Taiwanese Native language English Medium TOEIC 670 Architecture Design robust, maintainability, readable software
Full-time / Tertarik bekerja jarak jauh
4-6 tahun
Southern Taiwan University of Science and Technology
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Computer Science and Information Technology
Senior Software engineer @Cisco Systems2022 ~ Sekarang
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DeepLearning Engineer
Dalam satu bulan
ChenKuan Sun (CK Sun) Software Engineer • Taipei，TW • [email protected] Interested in Deep Learning and willing to learn new skills. Continue to pursue online courses to solve a variety of different issues. Experience Full Stack Developer, SepNow Qoobit Productions Inc. Secretary officer, NovAug 2018 Republic of China Marine Corps Platoon Commander, JanNov 2016 Republic of China Marine Corps Student, JanJan 2014 R.O.C Naval academy Skills Web Crawling Python - request, BeautifulSoup, selenium. Machine Learning numpy, pandas, sklearn,tensorflow, keras,caffe,pytorch Web Development PHP,Javascipt,html,css Project APC The
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R.O.C. Naval Academy
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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