Guanyu Chen

Guanyu Chen Email and Phone Number

Specialist Solution Architect @ Databricks
Washington, DC, US
Guanyu Chen's Location
Washington DC-Baltimore Area, United States, United States
Guanyu Chen's Contact Details

Guanyu Chen personal email

n/a
About Guanyu Chen

Email: guanyu.chen117@gmail.comI am a quick learner and always like to expand my knowledge towards recent advances in technology. Passionate about developing something new and original. Having good experience in working with huge datasets, I want to take it further and apply Data Analytics to derive value that can drive businesses toward success.▪ R; Python (Libraries: NumPy, Pandas, Scikit-learn, Seaborn, Matplotlib, NLTK, Keras);▪ Data Warehouse: SQL, MS SQL Server, MySQL, MongoDB;▪ Big Data: Databricks, AWS, Azure, Hadoop, MapReduce, Spark, PySpark, Pig, Hive, Impala, Sqoop;▪ Data Visualization: Tableau, PowerBI;

Guanyu Chen's Current Company Details
Databricks

Databricks

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Specialist Solution Architect
Washington, DC, US
Website:
databricks.com
Employees:
12099
Guanyu Chen Work Experience Details
  • Databricks
    Specialist Solution Architect
    Databricks
    Washington, Dc, Us
  • Databricks
    Sr. Specialist Solution Engineer
    Databricks Dec 2023 - Present
    San Francisco, Ca, Us
    - Advanced AI & ML Lifecycle Expertise: Engaged in comprehensive LLM lifecycle management on Databricks, developing GenAI applications, utilizing MosaicAI for optimization, and integrating LLMs and RAG for cutting-edge solutions.- ML & MLOps Specialist: Advanced proficiency in Databricks Machine Learning and MLOps, providing technical sales support and community training.- Technical Implementation Lead: Oversaw strategic customer projects on Databricks, focusing on ML pipeline architecture and optimization, and collaborated closely with customers and internal teams.
  • Leidos
    Big Data/Machine Learning Lead
    Leidos Oct 2023 - Dec 2023
    Reston, Virginia, Us
    - Lead in Data Modernization for Public Sector Clients: Directed data modernization for public sector customers, implementing cloud solutions and business intelligence, aligning with organizational goals.- Innovation & Senior Management Collaboration: Managed proof of concept projects for new technologies, leading to their integration and adoption in production systems.
  • Leidos
    Big Data/Machine Learning Developer Iii
    Leidos Sep 2020 - Nov 2023
    Reston, Virginia, Us
    - Guided and supported multiple public sector customers throughout data modernization process, successfully implementing cloud architectural design, data analytics, and business intelligence solutions using cloud services.- Collaborated with managers and stakeholders to conduct proof of concept (POC) development for new technologies and software applications, resulting in successful integration into production system.
  • Leidos
    Big Data/Machine Learning Developer Ii
    Leidos Mar 2019 - Sep 2020
    Reston, Virginia, Us
    - Conducted statistical and text analysis on large volumes of consumer complaint data using ML and NLP techniques such as sentiment analysis and topic modeling to detect and extract valuable insights and patterns.- Streamlined development process for machine learning models by implementing version control and using continuous integration and deployment (CI/CD) pipelines to deploy models via Azure DevOps. - Deployed data science solutions in distributed cloud environments and developed reports, dashboards, and metrics using Tableau and Power BI to monitor performance and cost of machine learning products.
  • University Of Maryland - Robert H. Smith School Of Business
    Graduate Teaching Assistant
    University Of Maryland - Robert H. Smith School Of Business Jul 2018 - Nov 2018
    College Park, Maryland, Us
    - Enhanced the learning experience by assisting the professor developing Hadoop Ecosystem labs (HDFS, Map Reduce, Sqoop, Pig, Hive, Impala, Spark).- Taught knowledge of creating and configuring Amazon Web Services (S3, RDS, EMR, EC2, and SageMaker).
  • University Of Maryland - Robert H. Smith School Of Business
    Graduate Research Assistant
    University Of Maryland - Robert H. Smith School Of Business Jun 2018 - Nov 2018
    College Park, Maryland, Us
    - Conducted data collection activities and coordinated with the professor for data cleansing and variables selection to ensure data financial meaningful and analyzable.- Ran small-scale experiments then scaled it up to all 1245 stocks, visualized results, and delivered weekly reports.

Guanyu Chen Skills

R Data Warehousing Amazon Web Services Linux Apache Pig Web Scraping Mongodb Microsoft Powerpoint Sqoop Data Analysis Microsoft Sql Server Load Data Analytics Communication Data Mining Tableau Hadoop Performance Tuning Cloudera Impala Microsoft Office Microsoft Word Data Modeling Apache Spark Microsoft Excel Apache Sqoop Big Data Business Analytics Hive Business Intelligence Extract Sql Python Machine Learning Transform Data Visualization Mysql Mapreduce Microsoft Power Bi

Guanyu Chen Education Details

  • University Of Maryland - Robert H. Smith School Of Business
    University Of Maryland - Robert H. Smith School Of Business
    Business Analytics
  • Tianjin University Of Commerce China
    Tianjin University Of Commerce China
    Finance

Frequently Asked Questions about Guanyu Chen

What company does Guanyu Chen work for?

Guanyu Chen works for Databricks

What is Guanyu Chen's role at the current company?

Guanyu Chen's current role is Specialist Solution Architect.

What is Guanyu Chen's email address?

Guanyu Chen's email address is gu****@****dos.com

What schools did Guanyu Chen attend?

Guanyu Chen attended University Of Maryland - Robert H. Smith School Of Business, Tianjin University Of Commerce China.

What skills is Guanyu Chen known for?

Guanyu Chen has skills like R, Data Warehousing, Amazon Web Services, Linux, Apache Pig, Web Scraping, Mongodb, Microsoft Powerpoint, Sqoop, Data Analysis, Microsoft Sql Server, Load.

Who are Guanyu Chen's colleagues?

Guanyu Chen's colleagues are Kori O'brien, Angela Smith, Li Yuan, Zack Manship, Farhad Pagdiwalla, Monu Salvi, E. Yi Liu.

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