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4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
United States
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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 ~ 现在
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
一個月內
Python
Qt
Git
就职中
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
元智大學 Yuan Ze University
工業工程與管理學系所
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Avatar of the user.
工程師 @永豐金證券
2018 ~ 现在
Python Developer, Rust Developer, BigData Engineer
一個月內
Python
pytorch
CINEMA 4D
就职中
全职 / 对远端工作有兴趣
4 到 6 年
國立東華大學 | National Dong Hwa University
Arts and Creative Industries
Avatar of Hao-Chun (Chad) Yang.
Avatar of Hao-Chun (Chad) Yang.
Senior Machine Learning Engineer @C-Media Electronics
2020 ~ 2021
Machine Learning Scientist, Data Scientist
一個月內
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
Python
pytorch
tensorflow
服兵役中
全职 / 对远端工作有兴趣
4 到 6 年
清華大學
電機工程
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Avatar of the user.
創辦人 @酷喬伊科技有限公司
2020 ~ 现在
Python developer
一個月內
PyTorch
Python
PostgreSQL
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
4 到 6 年
Fu Jen Catholic University
Major, Optical Physics, Minor, Finance and international business
Avatar of Krish Chatterjee.
Avatar of Krish Chatterjee.
Machine Learning Engineer @Tata Consultancy Services
2021 ~ 现在
Software Engineer, Machine Learning
超過一年
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
Python
Oracle ERP
Oracle SQL
就职中
全职 / 对远端工作有兴趣
10 到 15 年
The University of Texas at Austin
Post Graduate Program in Artificial Intelligence and Machine Learning
Avatar of Abo Lei.
Avatar of Abo Lei.
Sr. Machine Learning Engineer @Micron Technology 台灣美光
2022 ~ 现在
Data Scientist
超過一年
. 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
Word
PowerPoint
Excel
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
Avatar of ChenKuan Sun (CK Sun).
Avatar of ChenKuan Sun (CK Sun).
Senior Software engineer @Cisco Systems
2022 ~ 现在
DeepLearning Engineer
一個月內
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
Python
C
Web Development
就职中
全职 / 对远端工作有兴趣
4 到 6 年
R.O.C. Naval Academy
Electrical Engineering

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超過一年
California, MD, USA
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
Python
NumPy
SciPy
Time Series Analysis
NLP
machine learning
Pandas
SQL
Bayesian statistics
Docker
AWS EC2
Scala
Artificial Neural Networks
Regression Modeling
Classification Modeling
Web Scraping
Research
Sales & Marketing
Entrepreneurship
Critical Thinking
Creative Problem Solving
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
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远端工作意愿
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Vki4yvpsjsh9eznx1x8i

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 

简历
个人档案
Vki4yvpsjsh9eznx1x8i

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