Zixing Wang Ph.D.

Zixing Wang Ph.D. Email and Phone Number

Senior Data Scientist at Smartbridge @ Smartbridge
Zixing Wang Ph.D.'s Location
Houston, Texas, United States, United States
Zixing Wang Ph.D.'s Contact Details

Zixing Wang Ph.D. personal email

n/a

Zixing Wang Ph.D. phone numbers

About Zixing Wang Ph.D.

Experience in machine learning and data science across multiple industries, including energy, oil & gas, chemistry, manufacturing, and marketing consulting.Experience covers product development, manufacturing process optimization, and cost-reducing efforts in the energy and chemical sectors, as well as the development and implementation of retail, analytics, and business intelligence systems. I am passionate in using data science to conduct impactful analysis to gain insight into business metrics and translate data-driven insights into decisions and actions, while leveraging unique research scientist background to bring exceptional problem-solving skills, strategic and systematic approaches, and an innovation mindset.SPECIALITIES--------------------Asset optimizationProcess improvementPerformance forecastInsight into business metricsAnalyze clients and improve customer serviceInventory AnalysisDevelop business reportsPresent to stakeholdersKEY SKILLS----------------Machine learningResearch and developmentExperiment designStatistical modelingA/B testingConveying ideas through data visualization and storytelling. Project ManagementBusiness AcumenRoot cause analysis📌 github.com/cec-wang

Zixing Wang Ph.D.'s Current Company Details
Smartbridge

Smartbridge

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Senior Data Scientist at Smartbridge
Zixing Wang Ph.D. Work Experience Details
  • Smartbridge
    Senior Data Scientist
    Smartbridge Jul 2022 - Present
    Houston, Texas, Us
  • Calpine
    Data Scientist
    Calpine Feb 2021 - Aug 2022
    Houston, Tx, Us
    - Built multiple data science projects from zero to deployment on predictive maintenance, performancemonitoring, and engineering diagnostics. Projected to improve maintenance efficiency and save thecompany millions of dollars.- Conducted cloud digital transformations to asset management. Implemented enterprise-level data science work on Azure, visualized asset health and business impact through Power BI and Tableau.- Collaborated closely with SME in translating engineering works to automated and efficient machinelearning pipelines, reducing the workload by multiple folds. Developed interactive engineering dashboards to draw insights from big data using Plotly Dash Enterprise.- Leveraged machine learning techniques including time series prediction, change point detection,anomaly/outlier detection to analyze big data.
  • Centerpoint Energy
    Contractor Data Analyst
    Centerpoint Energy Aug 2020 - Jan 2021
    Houston, Texas, Us
    Help to prevent potential losses in revenue by uncovering insights to identify delinquent customers. Solve problems and generate org-wide monthly reports.• Built automatic ETL data pipelines with Python, SQL, SSIS (SQL Server Integration Service) to ingest data across different format, including flat file, csv, XML, and JSON from 220k+ households. • Streamlined complex SQL queries for 20+ Utility & Gas related reports with >1M entries each in SAP/HANA, which improved the computational efficiency by 30%.• Secured $2M+ revenue by identifying accounts who evaded electricity bills by tampering at the premise. Insights were summarized in monthly reports using PowerBI for revenue protection team.• Prevented annual revenue loss of $100K+ by identifying customers who were gaming the system for a government funded rate. Performed feature engineering on demographics and user behavior data. Developed the visualization prototype by using PowerBI PowerPivot.
  • Solvay
    Senior Scientist
    Solvay Aug 2019 - Aug 2020
    Brussels, Be
    Researched the methodology to optimize polymer used to increase oil extraction efficiency• Developed a pollutant-free, cheap, multi-purpose formulation projected to bring multi-million-dollar revenue. • Performed correlation analysis between polymer synthesis features and product performance, which provided insights for product quality consistency. • Proposed to use machine learning regression and feature engineering to predict the performance of a complex polymer formulation based on 20+ features, aiming to decrease research time by 30%.
  • Applied Optoelectronics, Inc.
    Process Engineer
    Applied Optoelectronics, Inc. Mar 2019 - Aug 2019
    Sugar Land, Texas, Us
    Improved manufacturing process using process improvement techniques (six sigma) and data analysis.• Generated monthly reports for manufacturing yield, using process data from 500+ wafers with 100+ manufacturing steps to visualize yield fluctuations and keep track of the process efficiency. • Improved yield by 10% through correlation analysis and significance testing to identify the topmost influential features to yield. Used Six Sigma to conduct statistical process control (SPC) and carried out targeted process changes. • Lead the efforts to streamline the dashboard visualization redesign process using Tableau and presented to leadership and stakeholders, which reduced decision-making time by 30%.
  • Rice University, Dr. Pulickel Ajayan'S Research Group
    Graduate Student Researcher
    Rice University, Dr. Pulickel Ajayan'S Research Group Nov 2015 - May 2019
    1. Grew 2-dimensional transition metal carbides, nitride and borides crystals using metal-metal immiscible systems within a chemical vapor deposition (CVD) system and used them for corrosion resistance and mechanical strength test.2. Developed a novel cost-efficient etching process to chemically produce TMDC nanoribbons on Si wafer under 5 minutes with potential application as low contact resistance interconnect.3. Synthesizing Cu, Fe or Co doped 2D transition metal dichalcogenides (TMDCs) through colloidal chemistry to achieve a novel structure with high catalytic activity.4. Cooperated with other researchers by characterizing materials including nanomaterials, metals, ceramics, polymers, and composites.5. Managed a laboratory through organizing routine cleaning, performing safety training, and equipment maintenance, disposition, trouble-shooting and scheduling.
  • Aramco Services Company
    Graduate Intern
    Aramco Services Company Jun 2018 - Mar 2019
    Dhahran, Sa
    Participated in the development of innovative solutions in the areas of hydraulic fracturing as well as mitigation of the problem of condensate and water blockage in gas wells.
  • Serionix, Inc.
    Student Intern
    Serionix, Inc. May 2013 - Sep 2013
    Champaign, Illinois, Us
    Synthesized and characterized fibrous activated carbon ion-exchange materials. Conducted lead adsorption breakthrough test, capacity test, and vitrification test. Analyzed, summarized and reported to supervisor. Conducted market research on water purification materials in removing chromium, and patent research on materials that remove colloidal lead in potable water.

Zixing Wang Ph.D. Skills

Research Chemical Vapor Deposition Materials Characterization 2d Materials Public Speaking Microsoft Office Microsoft Excel Microsoft Word C++ C Powerpoint Photoshop Social Media Teamwork English

Zixing Wang Ph.D. Education Details

  • Rice University
    Rice University
    Materials Chemistry
  • University Of Illinois Urbana-Champaign
    University Of Illinois Urbana-Champaign
    Materials Science And Engineering

Frequently Asked Questions about Zixing Wang Ph.D.

What company does Zixing Wang Ph.D. work for?

Zixing Wang Ph.D. works for Smartbridge

What is Zixing Wang Ph.D.'s role at the current company?

Zixing Wang Ph.D.'s current role is Senior Data Scientist at Smartbridge.

What is Zixing Wang Ph.D.'s email address?

Zixing Wang Ph.D.'s email address is zi****@****vay.com

What is Zixing Wang Ph.D.'s direct phone number?

Zixing Wang Ph.D.'s direct phone number is 121755*****

What schools did Zixing Wang Ph.D. attend?

Zixing Wang Ph.D. attended Rice University, University Of Illinois Urbana-Champaign.

What skills is Zixing Wang Ph.D. known for?

Zixing Wang Ph.D. has skills like Research, Chemical Vapor Deposition, Materials Characterization, 2d Materials, Public Speaking, Microsoft Office, Microsoft Excel, Microsoft Word, C++, C, Powerpoint, Photoshop.

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