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On
4-6 years
6-10 years
10-15 years
More than 15 years
United States
工程師 @永豐金證券2018 ~ Present
・
Python Developer, Rust Developer, BigData Engineer
Within one month
9月 實習期間用 3D 結合 Python script 做快速建模以及衍生式設計(generative-design)與算圖工作。 Education 國立東華大學 藝術創意產業學系Skills Python Numpy / Pandas / Polars Celery FastAPI Visualization Rust Tauri Tokio Tonic Polars CICD Docker Docker-compose K8S Gitlab CI Github Action Deep Learning CNN / RNN / GNN Reinforcement Learning Tensorflow Pytorch Keras Other Language Rust javascript Swift C / C++ Dart Design Photoshop illustrator After Effects Cinema 4D
Employed
Full-time / Interested in working remotely
4-6 years
國立東華大學 | National Dong Hwa University
・
Arts and Creative Industries
Software Engineer @Netskope2023 ~ Present
・
Senior Software Engineer
Within one month
Denny Lin 林亮圻 3 years experience in software development on cloud ( AWS / Azure ) 2 years experience in DevOps Python, Go, Java Bachelor of Computer Science & Information Engineering , National Taiwan University Software engineer, DevOps [email protected] Experience Trend Micro Inc. , Software Engineer, Dec 2019 ~ Dec 2021 Developing a WYSIWYG system for threat experts to analyze host activity logs and generate alerts / reports from them Integrating host activity logs from upstream, normalizing by data analysis packages like Python Pandas Using ElasticSearch and Kibana for data tagging, aggregating and alerting Building a version
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
4-6 years
National Taiwan University
・
Computer Science
Senior Machine Learning Engineer @C-Media Electronics2020 ~ 2021
・
Machine Learning Scientist, Data Scientist
Within one month
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
In military service
Full-time / Interested in working remotely
4-6 years
清華大學
・
電機工程
創辦人 @酷喬伊科技有限公司2020 ~ Present
・
Python developer
Within one month
Django Azure App Service GCP Cloud SQL Redis Scrapy Selenium Web Crawler Docker Git Pandas Scikit-Learn 語言 Chinese — 母語或雙語 English — 中階 專案 Telegram Stock Price Bot 算是近期做的小專案，用 Python第三方套件 pandas datareader，串接 Yahoo Finance的股票價格。設定一些基本的指令設定、幫助以及聯絡資訊。 # TelegramBot # pandas_datareader Discord Chat Bot 跟 Telegram Bot同一時期做的，裡面有
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
4-6 years
Fu Jen Catholic University
・
Major, Optical Physics, Minor, Finance and international business
Machine Learning Engineer @Tata Consultancy Services2021 ~ Present
・
Software Engineer, Machine Learning
More than one year
. Currently 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
Employed
Full-time / Interested in working remotely
10-15 years
The University of Texas at Austin
・
Post Graduate Program in Artificial Intelligence and Machine Learning
Sr. Machine Learning Engineer @Micron Technology 台灣美光2022 ~ Present
・
Data Scientist
More than one year
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 architecture
Full-time / Interested in working remotely
4-6 years
Southern Taiwan University of Science and Technology
・
Computer Science and Information TechnologyNot open to opportunities
Full-time / Interested in working remotely
6-10 years
Senior Software engineer @Cisco Systems2022 ~ Present
・
DeepLearning Engineer
Within one month
Employed
Full-time / Interested in working remotely
4-6 years
R.O.C. Naval Academy
・
Electrical EngineeringScrum Master / Project Manager @Yondu Inc2022 ~ Present
・
Scrum Master / Tech Lead / Project Manager
Within one month
Employed
・
Not open to opportunities
Full-time / Remote Only
6-10 years
Coursera
・
Google Project ManagementPresident @F&E Trading LLC2012 ~ Present
・
More than one year
decisions are made through consensus among stakeholders at different levels. Under Albert Houllou’s direction, F&E Trading has grown into one of the region’s premier electronics distributors, offering high-end digital goods such as digital cameras, televisions, projectors, and receivers from industry-leading retailers like Sony, Fuji, Panasonic, and Samsung. In his effort to reach the broadest market, he has put together a team of experienced salespeople to provide service in more than a half-dozen languages. Prior to founding F&E Trading, Albert Houllou played key roles in several leading consumer electronics firms, and
Part-time / Interested in working remotely
More than 15 years
Rutgers University
・
Business ManagementThe Most Lightweight and Effective Recruiting Plan
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Definition of Reputation Credits
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Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
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Ability to convey information effectively and is willing to give and receive feedback.
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Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
Professional Background
Current status
Job Search Progress
Not open to opportunities
Professions
Data Scientist
Fields of Employment
Work experience
2-4 years
Management
Skills
Languages
Job search preferences
Positions
Junior Data Scientist
Job types
Full-time
Locations
Remote
Interested in working remotely
Freelance
Educations
School
Major
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