อยากได้ Resume ที่โดดเด่นกว่าตัวอย่างนี้?

ใช้ตัวอย่างเป็นแนวทางได้ แต่ Resume ที่ชนะต้องเขียนให้ตรงกับตำแหน่ง และประสบการณ์ของคุณ เราเป็นมืออาชีพรับเขียน Resume และ Cover Letter ภาษาอังกฤษ รับประกันความพึงพอใจ

ตัวอย่าง Resume วิทยาศาสตร์ข้อมูล (Data Science) ฉบับที่ 105

Resume Example Data Science #0105 ประมาณ 2973 คำ

เรซูเม่ฉบับนี้เป็นตัวอย่างสำหรับตำแหน่ง HEAD OF DATA SCIENCE / Ddb | New York City / HEAD OF DATA SCIENCE ระดับอาวุโส มีประสบการณ์รวมประมาณ 10 ปี เรานำมาวิเคราะห์เพื่อให้เห็นว่า โครงสร้างมีจุดเด่นอย่างไร และส่วนใดนำไปปรับใช้กับข้อมูลของคุณได้

จุดเด่นของฉบับนี้ แสดงประสบการณ์ทำงาน 12 ตำแหน่ง พร้อมหน้าที่และผลงานของแต่ละช่วงอย่างเป็นลำดับ

สิ่งที่ควรสังเกตในตัวอย่างนี้

ประวัติงานต่อเนื่อง 10 ปี เห็นการเติบโตของตำแหน่งได้ชัด
มีการกล่าวถึง Tableau, Salesforce, Ph.D ซึ่งเป็นสิ่งที่ HR สายวิทยาศาสตร์ข้อมูล ให้ความสำคัญ
ประสบการณ์ 12 ตำแหน่ง ไล่ระดับจาก Junior ขึ้นไปจนถึงตำแหน่งปัจจุบัน
มีทักษะแยกเป็นหมวด 40+ รายการ ให้ HR เห็นสเปกครบถ้วน

เนื้อหาในเรซูเม่ฉบับนี้

Resume Example

HEAD OF DATA SCIENCE / Ddb | New York City / HEAD OF DATA SCIENCE

Experience

HEAD OF DATA SCIENCE / Ddb | New York City / HEAD OF DATA SCIENCE06/2021 - CURRENT

CONSUMERTRACK INC | Remote

Work closely with C-suite executives to develop new methodologies for digital ad conversion, pacing
and yield to improve optimization engines
Create data science roadmaps and execution plans and lead data science projects including planning, project oversight, coaching and professional development
Manage managers of cross functional teams of data scientists, data engineers, product managers and

DevOps engineers

Manage data science products from ideation to post-production including ML model research & development, model optimization, MLOps, A/B test strategies, CI/CD, model drift monitoring and integration with other services
Lead tasks on R&D, data governance, system infrastructure, analytics and Al tool evaluation, and other cross-team functions, on an as-needed basis
Define and track accuracy and performance of both technical and business metrics using Tableau Drive scalable Machine Learning solutions using available AWS, Snowflake, DataRobot, Sagemaker, Matillion, CircleCI, Harness and other data infrastructure
Make recommendations and build use cases on new sources of value by addressing the biggest gaps
in our data sources in relation to revenue potential

Position

MICMBER OF BOARD OF ADVISORS

University Of South Florida | Remote Advise faculties to ensure the curriculum is current and relevant to market demand

Position01/2022 - CURRENT

Mentor students for career opportunity and growth

SECIOR MANAGER10/2020 - 05/2021

DATA SCIENCE AND ENGINEERING

Imperva INC | Remote Worked closely with CMO for planning and budgeting of marketing organization using Al and analytics
for ~$200M in the marketing-sourced pipeline
Manage data science and data engineering projects, planning and prioritization
Built and maintained data infrastructure across multiple technology platforms to meet analytics
business intelligence (BI) reporting, and forecasting needs
Defined and measures KPIs to optimize marketing operations to increase both the total revenue and share of marketing contribution

This includes,

Marketing funnel performance metrics (Inquiry, MQL, SAL, SQL, Opportunity)
Lead scoring/account intelligence
Attribution and media-mix modeling
Ascertain data integrity and use of optimal tools and technologies for efficient data pipeline
Developed analytical plans for data cleaning, data mining, predictive modeling, database design
statistical approaches, and A/B testing for data-driven decision making
Managed Tableau dashboard to support executive reporting

LEOD DATA SCIENTIST / K12 INC | Herndon, Virginia07/2018 - 10/2020

Provided analytics solutions to VP level executives to make cost effective decisions in marketing, sales/
enrollment and workforce management using artificial intelligence
Managed comprehensive AI/ML strategy from conception thru design thru production which led K12 for
more than ever year-over-year ROI growth
Built marketing optimization engine which includes

Lead scoring model / Life-time value calculation

Forecasting models for marketing funnel (web traffic, call center traffic, leads, opportunity, sales enrollments)
Campaign sequencing, multi-touch attribution, media-mix modeling, and ROI analysis for digital marketing efficacy
Marketing operations measurement by defining KPIs, A/B test and statistical modeling Marketing automation system using Salesforce & marketing cloud
Managed data science and data engineering projects and led infrastructure deployment, and maintained scalable data platform in driving strong marketing strategies and availing opportunities Built and maintain APIs, user-interface and technology stack for analytical and reporting needs Led the planning, budgeting, and forecasting of the marketing department and manage marketing automation systems
Built data storytelling dashboards and business intelligence (BI) reports for executive reporting Derived optimal online marketing strategies by analyzing how search engine management keywords perform in student enrollment and how the enrollment is associated to dollar spend for marketing Built tools and plan budget to optimize workforce and robotic needs to meet peak-season demand Tools Used: Machine Learning, Python, R, C++, JavaScript, Hive, H2O, AWS EC2/EMR/S3, Scikit-learn, Seaborn, Plotly, Dash, Pandas, Numpy, Selenium, Web Scraping, MS SQL, MS Excel, Adobe Analytics

Salesforce, Marketing Cloud, Tableau / DACA ENGINEERING CONSULTANT Charter Communications | Tampa, Florida01/2017 - 07/2018

Developed and implemented data pipelines to clean and process large datasets using SQL and Python
in PySpark framework Enhanced and integrated new features into existing application frameworks to accelerate the data integration process using R and Python in Unix environment Optimized data visualization using matplotlib, plotly, seaborn and ggplot Created Hive queries that help for sales analysis by comparing fresh data with legacy data Involved in cleansing the messy data coming from a various source in AWS EC2 environment, and loading the clean data to AWS S3
Designed and developed regression, classification, clustering, and natural language processing based predictive models to determine customer behaviors to enhance sales and marketing forecasting using Scikit-learn and spark MLlib with accuracy more than 96%
Performed churn analysis on multiple products with an accuracy more than 91% which helped to save
more than 200000 customers from unsubscribing the products
Derived stored procedure in Teradata, Oracle and Sybase databases to support report delivery Tools Used: Machine Learning, Tensorflow, Python, C++, R, Hive, Spark, AWS EC2 & S3, Scikit-learn, Seaborn, Plotly, ggplot, Pandas, Numpy, SciPy, Tableau, Teradata, Sybase, Oracle, Unix

CenturyLink Inc | Monroe, Louisiana05/2016 - 12/2016

DACA ANALYTICS CONSULTANT

Used Python based data manipulation and visualization tools such as Pandas, Matplotlib, Seaborn to
clean corrupted data and develop data pipelines to support business requested reports Developed Tableau based dashboard from oracle database to present to business team for data visualization purpose
Architected and implemented SQL workflows to identify the discrepancies on customer accounts and
their products between legacy and target system
Integrated the various file system coming from different sources into MS SQL database and created

visualization using SSIS/SSRS

Streamlined a process to fine tune the quality of data for a data conversion project Guided the juniors and interns on data conversion process and designing ETL process using SQL
Tools Used: Python, Pandas, Numpy, Matplotlib, Seaborn, Plotly, Tableau, SQL, SSIS, SSRS, Oracle, MS

SQL, HP ALM, PuTTY, Linux / Frontier Communications | Richardson, Texas05/2015 - 05/2016

DACA ANALYTICS CONSULTANT

Extensively worked on cleaning of source data to fit the target system requirement using Python and creating data-based applications
Developed and maintained complex SQL queries in Oracle, MS SQL and IBM DB2 to create and
populate tables in data warehouse for daily reporting across departments
Streamlined data pipelines to support batch processing, bill cycle adjustment and data extract for over 5 million customers
Created customized reports and dashboards in Tableau after completion of each mini-SDLC to help making business decision
Generated visualization effects to compare source and target data using Matplotlib, Seaborn, SSRS Involved in conversion code development, test, and deployment activities, planning and establishing cutover and post-cutover activities and support Coordinated with system testing and UAT testing team to fine tune quality of the data conversion

Skills

Jessica Clairesalescustomer acquisition and workforce managementBuildbudgetingAPIsRoadmap ExecutionR&DScalable InfrastructureMachine LearningData ScienceData EngineeringData VisualizationCloud Infrastructurepacingproject oversightcoaching and professional developmentdata engineersproduct managers and DevOps engineersmodel optimizationMLOpsA/B test strategiesCI/CDdata governancesystem infrastructureanalytics and Al tool evaluationon an as-needed basisSnowflakeDataRobotSagemakerMatillionCircleCIDeloitteProvidenceAccentureFlorham Parkplanning and prioritizationbusiness intelligence (BI) reportingThis includesMQL

สรุปว่าจะได้อะไรจากตัวอย่างนี้

ตัวอย่างนี้ช่วยให้เห็นแนวทางการเขียนเรซูเม่สำหรับตำแหน่ง HEAD OF DATA SCIENCE / Ddb | New York City / HEAD OF DATA SCIENCE ประสบการณ์ 10 ปี ตามด้วยประสบการณ์ทำงาน 12 ตำแหน่ง พร้อมทักษะที่เกี่ยวข้องกับงาน คุณสามารถนำลำดับและวิธีนำเสนอไปปรับใช้ โดยเปลี่ยนรายละเอียดให้ตรงกับประสบการณ์จริงของคุณ

อย่างไรก็ตาม เรซูเม่ที่ชนะต้องเขียนให้ตรงตำแหน่งที่คุณสมัครโดยเฉพาะ ตัวอย่างนี้คือต้นแบบ ไม่ใช่สำเนา ทีมเรซูเม่ของเรารับเขียน Resume และ Cover Letter ภาษาอังกฤษให้โดดเด่นจากคู่แข่ง ส่งงานใน 2 วัน รับประกันความพึงพอใจ