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On
4-6 years
6-10 years
10-15 years
More than 15 years
Consultant @Startup2023 ~ 2024
・
Pre-sales/PM/Business Consultant/Business Analyst/System Analyst
Within one month
Employed
・
Ready to interview
Full-time / Not interested in working remotely
4-6 years
Fu Jen Catholic University
・
Brand and Fashion ManagementPast
North America Strategy Manager @Jesse Lai Incorporation2018 ~ 2021
・
Within one month
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
Zicklin School of Business
Past
管理師 @台灣之星
專案經理、產品經理、系統分析師
Within one month
處長來回溝通協調 30 場會議產出分析報表 與 20 人中華團隊分工合作與跨單位溝通協調 中華郵政【數據分析人才培訓營】Tableau 講師 安定基金【保險業財務業務監理資料庫系統整合案】分析組長 帶領 2 名工程師組員共同開發 Tableau 儀表板 提供數據分
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
東吳大學
・
心理學系
Payroll Staff @Indorama Putra Mandiri2016 ~ Present
・
Accounting/Finance/Payroll/Coodinator
Within one month
serta berkomunikasi yang bagus dengan tim maupun individu dan kemampuan analisis yang baik. Prestasi yang saya raih membuat rekam jejak saya unggul di bidang payroll. Jakarta, Indonesia Sigit Setyawan s [email protected] Pengalaman Kerja Payroll Staff Indorama Putra Mandiri OktoberPresent Jakarta, Indonesia Administrasi Payroll Mengelola Penggajian Karyawan Lemburan, Absensi dan Cuti Penyesuaian Kontrak Kerja untuk Promosi dan Kenaikan Upah Membuat laporan payroll Komunikasi dengan pihak bank perihal payroll perusahaan. Pendidikan Universitas Mercu Buana Sarjana - Sistem InformasiKeahlian keterampilan Microsoft Office SQL Big Query Tableau Enterprise Architecture Tata Kelola Teknologi Informasi Bahasa Indonesian — Lancar English — Dasar
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
Universitas Mercu Buana
・
Sistem Informasi
Supervisor @PT Adhya Mira Pasifik2022 ~ Present
・
Supervisor/Pengawas
Within one month
Syahrul Ramadhan Jakarta Barat, DKI Jakarta, [email protected] https://www.linkedin.com/in/syahrul-ramadhan-06876b301/ Berkemampuan dalam bidang asuransi umum dan pengolahan database serta finance dan accounting . Menguasai skill pendukung kinerja dalam bekerja seperti Accurate untuk finance dan accounting, SQL, Tableau, Power BI, Pivot table untuk mengolah data, photosop 2D dan canva untuk kebutuhan konten sosial media serta menjadi analis data untuk hal-hal yang memungkinkan menimbulkan kerugian bagi perusahaan. Pengalaman Kerja Admin Supervisor • PT Adhya Mira Pasifik AprilPresent | Tangerang Selatan Mengelola data konsumen untuk
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
Universitas Tarumanagara
・
Industrial Engineering
Past
營運品策略部 - 管理師 @晶焱科技股份有限公司2020 ~ 2023
・
策略/產業/經營資深分析師；專案經理
Within one month
維護 ISO27001 資訊安全管理系統 設計風險管理流程，協助各部門設立風險指標 建置及維護戰情室，協助各部門繪製視覺化圖表（Tableau） 針對 AR/AP 對沖淨現金流，提出外匯看法及避險策略 在晶焱科技擔任營運品質策略管理師，我主要負責 經營 策略分析
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
東吳大學 Soochow University
・
財務工程與精算數學系
Past
Senior Associate @GreyCampus EduTech2014 ~ 2023
・
Senior Associate
Within one month
Raghupalreddy Vatti Hyderabad, Telangana, India || [email protected] Experienced professional with expertise in developing and optimizing stored procedures and functions using T-SQL, SQL Server, and MySQL to enhance database performance. Skilled in designing and implementing analytical data structures to support business intelligence and reporting needs. Proficient in managing critical databases to ensure data integrity, availability, and security. Experienced in diagnosing and resolving complex system issues using advanced debugging tools. Strong collaborator with cross-functional teams to integrate database functionality into web applications. Proven ability to create web-based dashboards and
Unemployed
・
Ready to interview
Full-time / Not interested in working remotely
6-10 years
Jyothishmathi institute of technology and science
・
M.Tech(VLSI Desin)
系統分析師 @全家股份有限公司2023 ~ Present
・
專案經理、系統分析師
Within one month
北市, 臺灣 E-mail：[email protected] 工作經歷 系統分析師 • 全家股份有限公司 八月Present 情報系統(內部APP/WEB分析功能/Oracle DB/Teradata/Tableau等資料流與工具)相關業務： 1. 需求分析規劃，引導或建議內部單位提出系統需求。(譬如店舖交易資料存放與運用、組成
Employed
・
Ready to interview
Full-time / Interested in working remotely
10-15 years
淡江大學
・
資訊管理學系
Past
Data Analyst @趨勢科技 TrendMicro2021 ~ 2024
・
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
Within one month
悉金融市場交易資料及金融業業務資料分析。 客戶、商品使用及公司營收資料分析經驗。 孰悉SQL(MS, Oracle, ADX), R, Python及VBA。 報表工具: Tableau, Oracle OBIEE, SSRS 技能 程式語言：R、Python、TSQL、PL SQL、VBA。 資料庫：MS SQL、Oracle SQL、ADX 報表系統：Tableau、SSRS、OBIEE、 系統：OFSAA、MSCI RiskMetrics。 對於金融領域知識、資料分析及ETL
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
天主教輔仁大學 FU JEN CATHOLIC UNIVERSITY
・
金融所商業分析師、數據分析師 @國泰世華商業銀行2020 ~ Present
・
大數據分析師、統計分析師、商業分析師、市場分析師
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立交通大學 National Chiao Tung University
・
科技管理 Management of TechnologyThe Most Lightweight and Effective Recruiting Plan
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Definition of Reputation Credits
Technical Skills
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.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
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Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
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