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On
4-6 years
6-10 years
10-15 years
More than 15 years
Past
Senior Data Analyst @趨勢科技2022 ~ Present
・
Data Scientist, Data Analyst, Machine Learning Engineer
Within one month
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
輔仁大學 Fu Jen Catholic University
・
統計資訊學系
DEVELOPER @GTEL ICT2022 ~ Present
・
Kỹ sư công nghệ thông tin
Within two months
Bùi Hải Long Bigdata [email protected], Vietnam My stated objective and focused approach is to work in an organization where I can acquire knowledge, fullyutilizes my skills and get global work exposure. Kinh nghiệm làm việc DEVELOPER • GTEL ICT thángPresent V06, A08 Data Synchronization Team members: 2 members Technologies used: PL/SQL, Oracle Database, ODI, OBIEE, Tableau desktop, Microsoft Power BI DEVELOPER • PARALINE VIETNAM CO., LTD thángthángMBBank Outsource Team members: 6 members Technologies used: PL/SQL, Oracle Database,BI Publisher,pentaho data integration, IBM Datastage DEVELOPER • FPT INFORMATION SYSTEM (FIS) - BANKPB3 thángthángVietcombank MPA
Employed
・
Ready to interview
Full-time / Not interested in working remotely
4-6 years
DAI NAM UNIVERSITY
・
IT (INFORMATION TECHNOLOGY)
Senior Associate - Procurement Services @WNS Global Services2022 ~ Present
・
Within three months
need. • Create dashboards using Power Bi for Team member experience surveys. • Collaborating with internal stakeholders to convert big data into visually appealing insights. • Analyze complex data sets and transform data into knowledge through appealing and understandable visualizations to improve business performance • Create and maintain the dashboards using Power Bi for Procurement Project Databases. • Leading the disciplines of data modelling and visualization for the organization using tools like Power BI MaySeptember 2022 Senior Data Specialist - Impendi Analytics Pvt Ltd • Managed end-to-end procurement analytics projects and implementations for diverse clients. • Led data collection, cleansing, processing
Employed
Full-time / Interested in working remotely
10-15 years
Manonmaniam Sunderanar University
・
Human Resources
Past
Data Analytics Instructor @CuriousIQ2022 ~ Present
・
BI Engineer
Within six months
with Advanced Data Modelling techniques and DAX optimisations using DAX Studio & Vertipaq Analyzer. •Staging thorough Power BI Trainings & Report Building Consulting Sessions for clients & coworkers. •Leveraging of Azure Cloud Services for ETL purposes through Azure Data Factory. • Implementation & Design of Reports using Data Visualization Tools (Specializing in Power BI & Tableau). •Worked with numerous industries such as Energy, Health, Banking & Insurance. Data Engineer Delatolas Group AugustMay 2019 Athens, Greece • SQL Server Administration Assistance. • Development of Procedures & Functions within SSMS for reporting reasons. • Report Building & Design with Microsoft Power BI. • Automation of Data Flows
Unemployed
Full-time / Remote Only
6-10 years
Past
副研究員 @財團法人台灣綜合研究院研究四所2021 ~ 2021
・
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Within one month
八月一)數據分析、視覺化設計 對象：能源數據 (天然氣與油品) 1.數據轉換、清洗與解釋 2.數據異常分析 3.Dashboard開發設計 (Microsoft Power BI) 4.能源統計數據月刊物編輯與出版 5.專案業務督導、推動、協調與溝通 (子專案 - 能源局視覺化查詢系統網站) 6
Unemployed
Full-time / Interested in working remotely
4-6 years
國立成功大學
・
資源工程學系
Past
Quality control @研華科技2009 ~ 2013
・
與過去相關或是間接相關的職位
Within six months
寶電腦智慧型裝置事業群, Field quality control, Dec~ Sep 市場退貨資料解析、品質合約項目驗證。 品質指標預估。 品質合約比較（支援角色）。 技能 Microsoft Power BI (為了資料整合與數據模式產出而使用) 統計概念 (為了描繪出資料可能的狀態) 語言：英文(中等，約TOEIC 650~700) 學歷 台北市
Unemployed
Full-time / Not interested in working remotely
4-6 years
高雄第一科技大學
・
電腦與通訊工程
SPG Event Bear Brand Netsle @PT. Arina Multikarya 2021 ~ 2021
・
Promotor
More than one year
— Lia Nurhalimah Saya adalah lulusan Rekayasa Perangkat Lunak (RPL) dari SMK N 2 Purwakarta. Memiliki pengalaman Studi Independen di PT. Microsoft Indonesia pada track Data and Artificial Intelligence. Aktif menulis di blog pribadi dengan berbagi informasi. Purwakarta Regency, West Java, Indonesia Projek Studi Independen Track Data and Artificial Intelligence Saya membuat projek rediksi Harga Rumah Di Amerika Serikat Menggunakan Model Regresi Pada Microsoft Azure dan Microsoft Power BI' di per Pengalaman Kerja NovemberNovember 2020 Sekretaris Himpunan Mahasiswa Informatika Membuat rencana program kerja Divisi Kerohanian selama 1 periode Melaksanakan program kerja yang telah disusun Mengkoordinir kegiatan
Full-time / Interested in working remotely
4-6 years
SMK N 2 PURWAKARTA
・
Rekayasa Perangkat Lunak (RPL)Employed
Full-time / Interested in working remotely
4-6 years
國立台北大學
・
金融與合作經營學系Full-time
6-10 years
FINANCIAL PLANNER @Công ty Bảo hiểm nhân thọ Dai-ichi Life VIệt Nam2015 ~ 2016
・
Within one month
Proactively reached out to clients, providing essential information and extending invitations to key financial conferences. •Orchestrated and executed client-focused events to facilitate product delivery and enhance engagement. •Offered expert advice and guidance, assisting clients through the procedural aspects of participation. •Finalized client relationships through the careful execution of contracts and provided ongoing customer care. E D U C AT I O NUniversity of Economics Ho Chi Minh City ENTERPRISE ACCOUNTINGHong Bang International University FINANCE AND BANKING Kỹ năng Word Excel Microsoft Office Power BI Ngoại ngữ English — Trung cấp Vietnamese — Bản địa / Song ngữ
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
University of Economics Ho Chi Minh City
・
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Within one month
Sr. data analyst@TrendMicro | Data Scientist | Business Analyst
趨勢科技
・
2022 ~ Present
Professional Background
Current status
Unemployed
Job Search Progress
Ready to interview
Professions
Data Scientist, BI Engineer, Machine Learning Engineer
Fields of Employment
Artificial Intelligence / Machine Learning, Big Data, Software
Work experience
4-6 years
Management
None
Skills
Languages
English
・
Fluent
Job search preferences
Positions
Data Scientist, Data Analyst, Machine Learning Engineer
Job types
Full-time
Locations
台灣台北, 台灣新竹市, 台灣新竹縣, 台灣新北市, 台灣台北市
Remote
Interested in working remotely
Freelance
Yes, I freelance in my spare time
Educations
School
輔仁大學 Fu Jen Catholic University
Major
統計資訊學系
Cathy Chen
Sr. Data Analyst
Senior data analyst with over 6 years experience in ETL, data visualization, exploratory data analysis, machine learning, deep learning, customized online dashboard using SQL, R, Python and data analytics tools.
Data Scientist, Data Analyst
Taipei, Taiwan
0923126227
Work Experience
Sr. Data Analyst • TrendMicro
Nov 2022 - Now
- Work with cross-functional teams(UI/UX designer, Front-end, Back-end, Marketing, PM, Sales) to provide related data, design metrics, report and dashboard.
- Cross app data tracking and user journey analysis.
- VisionOne customers engagement score - the metrics can help fields to target the customers who are likely SOC/SOC-like profile and have frequently engaged with the VisionOne for their operations.
- Potential SOC customer tagging - use customer information to tag potential VisionOne SOC-like customers from the TrendMicro existing customer base.
- Product-led growth - provide metrics to help teams check the overview of the VisionOne trial customers experience and conversion rate with their app engagement/behaviors analysis.
- VisionOne tree view APP usage - app usage tree view is designed to let users be able to easily get customer’s usage data.
Skill : Microsoft SQL Server · Kusto Query Language (KQL) · Azure Databricks · Microsoft Azure Dashboard · Tableau · Microsoft Power BI · Data Cubes · pySpark · Git
Data Analyst • Bank SinoPac
Oct 2020 - Nov 2022
- Personalized recommendation system on official website.
- Using machine learning model to find the potential customers, total uplift 20% click rate and 6% conversion rate, find out the important features to help business stakeholders give the proper campaign to different customers.
- Integrate user's transaction data, online behavior data, interest tags to auto labeling MMA customers by using statistical methods and machine learning methods.
- Developing automation regular reports, maintaining SQL store procedures, Tableau dashboards and Power BI dashboards.
- Cooperated with cross-functional team (Product, Marketing, Platform, PM, IT, Sales) to provide timely and accuracy business insight analysis.
- Developing automated web crawler on MMA website to collect ETF, fund, bond information.
Skill : Microsoft SQL Server · Microsoft Power BI · Data Cubes · R · Python · Tableau · Web Crawling · machine learning · IMPALA · HIVE · Git · Docker
Data Analyst • Catchplay
Apr 2020 - Oct 2020
- Indonesia OTT customer profile analysis - Collecting, analyzing and evaluating data and campaign performance to assist the Indonesia marketing team in developing pricing solutions. This project is to drive greater TVoD usage and provide recommendations to enhance the business function.
- Indonesia competitor analysis
- Forecasting movie search volume - Assist with filtering the popular movie by using pytrends to track the movie keywords search volume, predict movies' search volume by using LSTM.
- Lover migration analysis - Analyze behavioral trends in user data to suggest opportunities of optimization and improvement to the marketing team. Our team assist with filtering potential paying audience from 400,000 users on Catchplay.
- Genre Classification – Text Similarity
- CATCHPLAY Recommendation System
Skill : Google BigQuery · R · Python · Google Analytics · Google Search Console · Web Crawling · machine learning
Machine Learning Engineer • 人工智慧製造研究中心
Apr 2018 - Jan 2020
- Demand Categorization and Forecasting in Semiconductor Components Supply Chain - Semiconductor distributor need to make specific demand forecasting by item as critical input of inventory control and ordering strategy. Accurate demand forecast needs strict supply chain information and market analysis. However, most companies in semiconductor supply chain are not equipped with demand information sharing system between upstream and downstream. In this project, thousands of product parts are classified and forecast by competent staff based on their domain knowledge and working experience. To fill in this gap, we aims to propose a demand categorization and forecasting approach to support flexible decisions in supply chain management.
- Optimizing Manufacturing Parameters of Wire Bonding Process in IC Packaging Industry - In the wire bonding process, different setting value of manufacturing parameters affect the quality of the solder joints and the speed of wire bonding significantly. And when a new product is introduced, it is difficult to quickly obtain effective parameters simply by relying on the experience of the engineers. The project aims to help the IC packaging factories to increase production capacity by reducing the number of downtimes and speeding up the wire bonding time. The empirical result shows that the proposed approach has shown practical viability for increasing the packaging yield by 0.03%.
- Probe Card Electrical Quality Enhancement in Advanced Semiconductor Test Industry - In order to ensure the electrical quality of the probe card transmission path, in this project, we develops an automated inspection system which is able to reduce the error and time consuming from manual operation. Measurement System Analysis (MSA) ensures the electrical measurement quality of the equipment and meanwhile, collects and transfers those measurement results to be a big database from comprehensive electrical detection for key materials.
- Development- Change Point Analysis
Skill : Python · R · Shiny · HTML · CSS · Javascript · machine learning
Data Analyst • CADMEN
July 2016 - Jan 2018
- Assist customers to collect data, build analytics model, data visualization and establish customized online dashboard.
- Regularly conduct seminar,technical conferences and employee orientation.
- Assist SAS consultant to do POC.
- ITRI , Electronic and Optoelectronic System Research Lab - SAS consultant.
- SPC and Root Cause Analysis System - The cooperative company is the top 20 electronic components supplier in Taiwan. The company’s main products are CPU heat sinks, fans and blowers, cooling. This project cooperates with QC department and System Thermal BU to help them collect and integrate multi-data table(production data, maintenance report , production order),develop ETL pipeline and customized online dashboard.
Skill : Python · R · Shiny · HTML · CSS · Javascript · SAS · JMP · machine learning
Education
Sep 2012 - Jun 2016
Fu Jen Catholic University
Department of Statistics and Information Science
Skills
Programming
Python
R
Spark
R shiny
SAS
HTML
CSS
Javascript
Database
My SQL
MS SQL Server
SQLite
IMPALA
HIVE
Azure Kusto (KQL)
Data Analytics Tools
Tableau
Power BI
Data Studio
Databricks
Azure dashboard
SPSS
Google Analytics
Google Search Console
Cathy Chen
Sr. Data Analyst
Senior data analyst with over 6 years experience in ETL, data visualization, exploratory data analysis, machine learning, deep learning, customized online dashboard using SQL, R, Python and data analytics tools.
Data Scientist, Data Analyst
Taipei, Taiwan
0923126227
Work Experience
Sr. Data Analyst • TrendMicro
Nov 2022 - Now
- Work with cross-functional teams(UI/UX designer, Front-end, Back-end, Marketing, PM, Sales) to provide related data, design metrics, report and dashboard.
- Cross app data tracking and user journey analysis.
- VisionOne customers engagement score - the metrics can help fields to target the customers who are likely SOC/SOC-like profile and have frequently engaged with the VisionOne for their operations.
- Potential SOC customer tagging - use customer information to tag potential VisionOne SOC-like customers from the TrendMicro existing customer base.
- Product-led growth - provide metrics to help teams check the overview of the VisionOne trial customers experience and conversion rate with their app engagement/behaviors analysis.
- VisionOne tree view APP usage - app usage tree view is designed to let users be able to easily get customer’s usage data.
Skill : Microsoft SQL Server · Kusto Query Language (KQL) · Azure Databricks · Microsoft Azure Dashboard · Tableau · Microsoft Power BI · Data Cubes · pySpark · Git
Data Analyst • Bank SinoPac
Oct 2020 - Nov 2022
- Personalized recommendation system on official website.
- Using machine learning model to find the potential customers, total uplift 20% click rate and 6% conversion rate, find out the important features to help business stakeholders give the proper campaign to different customers.
- Integrate user's transaction data, online behavior data, interest tags to auto labeling MMA customers by using statistical methods and machine learning methods.
- Developing automation regular reports, maintaining SQL store procedures, Tableau dashboards and Power BI dashboards.
- Cooperated with cross-functional team (Product, Marketing, Platform, PM, IT, Sales) to provide timely and accuracy business insight analysis.
- Developing automated web crawler on MMA website to collect ETF, fund, bond information.
Skill : Microsoft SQL Server · Microsoft Power BI · Data Cubes · R · Python · Tableau · Web Crawling · machine learning · IMPALA · HIVE · Git · Docker
Data Analyst • Catchplay
Apr 2020 - Oct 2020
- Indonesia OTT customer profile analysis - Collecting, analyzing and evaluating data and campaign performance to assist the Indonesia marketing team in developing pricing solutions. This project is to drive greater TVoD usage and provide recommendations to enhance the business function.
- Indonesia competitor analysis
- Forecasting movie search volume - Assist with filtering the popular movie by using pytrends to track the movie keywords search volume, predict movies' search volume by using LSTM.
- Lover migration analysis - Analyze behavioral trends in user data to suggest opportunities of optimization and improvement to the marketing team. Our team assist with filtering potential paying audience from 400,000 users on Catchplay.
- Genre Classification – Text Similarity
- CATCHPLAY Recommendation System
Skill : Google BigQuery · R · Python · Google Analytics · Google Search Console · Web Crawling · machine learning
Machine Learning Engineer • 人工智慧製造研究中心
Apr 2018 - Jan 2020
- Demand Categorization and Forecasting in Semiconductor Components Supply Chain - Semiconductor distributor need to make specific demand forecasting by item as critical input of inventory control and ordering strategy. Accurate demand forecast needs strict supply chain information and market analysis. However, most companies in semiconductor supply chain are not equipped with demand information sharing system between upstream and downstream. In this project, thousands of product parts are classified and forecast by competent staff based on their domain knowledge and working experience. To fill in this gap, we aims to propose a demand categorization and forecasting approach to support flexible decisions in supply chain management.
- Optimizing Manufacturing Parameters of Wire Bonding Process in IC Packaging Industry - In the wire bonding process, different setting value of manufacturing parameters affect the quality of the solder joints and the speed of wire bonding significantly. And when a new product is introduced, it is difficult to quickly obtain effective parameters simply by relying on the experience of the engineers. The project aims to help the IC packaging factories to increase production capacity by reducing the number of downtimes and speeding up the wire bonding time. The empirical result shows that the proposed approach has shown practical viability for increasing the packaging yield by 0.03%.
- Probe Card Electrical Quality Enhancement in Advanced Semiconductor Test Industry - In order to ensure the electrical quality of the probe card transmission path, in this project, we develops an automated inspection system which is able to reduce the error and time consuming from manual operation. Measurement System Analysis (MSA) ensures the electrical measurement quality of the equipment and meanwhile, collects and transfers those measurement results to be a big database from comprehensive electrical detection for key materials.
- Development- Change Point Analysis
Skill : Python · R · Shiny · HTML · CSS · Javascript · machine learning
Data Analyst • CADMEN
July 2016 - Jan 2018
- Assist customers to collect data, build analytics model, data visualization and establish customized online dashboard.
- Regularly conduct seminar,technical conferences and employee orientation.
- Assist SAS consultant to do POC.
- ITRI , Electronic and Optoelectronic System Research Lab - SAS consultant.
- SPC and Root Cause Analysis System - The cooperative company is the top 20 electronic components supplier in Taiwan. The company’s main products are CPU heat sinks, fans and blowers, cooling. This project cooperates with QC department and System Thermal BU to help them collect and integrate multi-data table(production data, maintenance report , production order),develop ETL pipeline and customized online dashboard.
Skill : Python · R · Shiny · HTML · CSS · Javascript · SAS · JMP · machine learning
Education
Sep 2012 - Jun 2016
Fu Jen Catholic University
Department of Statistics and Information Science
Skills
Programming
Python
R
Spark
R shiny
SAS
HTML
CSS
Javascript
Database
My SQL
MS SQL Server
SQLite
IMPALA
HIVE
Azure Kusto (KQL)
Data Analytics Tools
Tableau
Power BI
Data Studio
Databricks
Azure dashboard
SPSS
Google Analytics
Google Search Console