Hao Wu

Hao Wu Email and Phone Number

Data Scientist at Facebook @ Meta
Menlo Park, California
Hao Wu's Location
Sunnyvale, California, United States, United States
Hao Wu's Contact Details

Hao Wu work email

Hao Wu personal email

About Hao Wu

Experienced data science/analytics professional with extensive knowledge on predictive modeling, machine learning under big data architecture. I hunt for complex business problems and apply state-of-art technologies to tackle new challenges. I am a sharp, quick learner. Excellent in multitasking under a challenging environment.I live with people and grow with the team. I have strong interpersonal and communication skills.When I am not working, I am a keen fisherwoman and a hiker. If you are interested in knowing more about me, feel free to connect and email me at wuhaosjtu@gmail.com . Quantitative Skills:• Big data tools: AWS, Spark, Hadoop, Hive, Qubole, Databricks.• Information Retrieval: Natural Language Processing, Document Classification.• Data Mining and Machine Learning: Classification and Clustering Algorithms, Neural Networks, Feature Engineering.• Statistical analysis: Linear/multivariate regression, Logistic Models, Time Series, A/B testing.

Hao Wu's Current Company Details
Meta

Meta

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Data Scientist at Facebook
Menlo Park, California
Website:
metadownhole.com
Employees:
136862
Hao Wu Work Experience Details
  • Meta
    Meta
    Menlo Park, California
  • Facebook
    Data Scientist
    Facebook Jan 2018 - Present
  • Black Book
    Senior Data Scientist
    Black Book Sep 2015 - Jan 2018
    Lawrenceville, Georgia, Us
    • Develop an ensemble econometric model for residual value forecast.• Pioneer vehicle history adjustment study lead to a new product.• Design priority score metric for wholesale value evaluation.• Redesign mileage products, including mileage categorization and value adjustment.• Build multiple machine learning pipelines in Spark for text procesing and modeling.
  • University Of Virginia
    Research Assistant
    University Of Virginia May 2014 - Aug 2015
    Charlottesville, Va, Us
    • Use big data analytics to examine utilization patterns of mental health services on college population across US. Generate and test hypothesis to investigate which care model is more efficient/ patient-friendly for mental disordered students in a college healthcare environment. (Python, R, SQL, WEKA)• Spearhead design of interactive search and data visualization framework to enable easily interact with large scale American student health database. Performed exploratory data analysis and explained findings to medical directors at student health center. (html, JavaScript)• Conduct temporal pattern mining on patient visit history based on electronic medical records; build a mix classifier for mental health patient prediction, identify the minimal sequence that can distinguish students with mental health and students without. (on going project, Python)
  • S&P Global Market Intelligence
    Data Scientist: Operation Efficiency Intern
    S&P Global Market Intelligence May 2014 - Aug 2014
    New York, Ny, Us
    • Formulate predictive model for client renewal on products and risk analysis. Data validation, manipulation and visualization tasks on large and complex datasets. Evaluate 30+ different data mining algorithms to reach a classification accuracy of 92%, recall rate of 82%. Model has a direct impact on increasing revenue by $2M.• Communicate with internal users and driving solution discussions with both IT and business stakeholders. Interpret results and offer solutions for client retention, pricing optimization, market segmentation and expansion. (R, SQL, Weka, VBA)• Collecting, parsing and analyzing text data, perform feature extraction on large scale documents. Build a multi-level document classification system to filter out more than 30% irrelevant information, improve company's productivity and efficiency. (Python, SQL, WEKA)
  • Cisco Systems
    Supply Chain Operations Intern
    Cisco Systems Jun 2012 - Dec 2012
    San Jose, Ca, Us
    • Developed automatic forecast of 48 key components over 52 weeks to proactively manage inventory imbalance and mitigate Excess & Obsolete cost; continuously work with OEM to improve forecast accuracy from 40% to 80%. • Collected, cleaned and transformed data from 20+ different databases; established standard data format within department, shortened working time to 50%.( Excel formulas, Pivot tables)• Collaborated effectively in a multinational team with members from U.S., the Netherlands, Belgium, and China.Not only did I complete these data analysis on regular basis, I also developed the working process between teams inside and outside of Cisco. In this way, we drove supplier's flexibility to business for mutual party.
  • Robert Bosch Gmbh
    China Logistics Center Intern
    Robert Bosch Gmbh Mar 2012 - Jun 2012
    Gerlingen-Schillerhöhe, Baden-Wuerttemberg, De
    • Assessed warehouse consolidation possibility of 79 sites over 28 cities in China; analyzed alternatives and proposed a solution with an estimated cost reduction of 20%.• Communicated with 10+ technical experts to edit warehouse operation manual; improved warehouse efficiency; negotiated with service providers and achieved mutual agreement successfully..
  • S.P. Richards
    Project Consultant
    S.P. Richards Aug 2010 - Dec 2010
    Atlanta, Ga, Us
    • Generated alternative designs for new Distribution Center in Dallas, Texas.• Developed slotting strategy, recommended a location naming scheme, and eliminated the initial conveyor system proposal by modeling. • The design decreased the haul distance by 24%; stood out the other 5 groups.
  • World Economic Forum (Summer Davos)
    Volunteer
    World Economic Forum (Summer Davos) Aug 2009 - Sep 2009
    Cologny, Geneva, Ch
    • Confirmed schedules of leaders coming from the world, zero error.• Translated for a VIP, offered cultural advice properly.
  • China Daily
    Sales Representative
    China Daily Sep 2007 - May 2009
    Beijing, Beijing, Cn
    • In 2007, contribute 33% of total sales individually; ranked 1st in personal sales volume.• In 2008, led a sales team of 30 people to achieve a record high sale of over $5,500, expanded market share of 50%. • Always passionate about business and success!

Hao Wu Education Details

  • University Of Virginia
    University Of Virginia
    Systems Engineering
  • Georgia Institute Of Technology
    Georgia Institute Of Technology
    Industrial Engineering
  • Shanghai Jiao Tong University
    Shanghai Jiao Tong University
    Transportation And Materials Moving
  • Dalian Maritime University
    Dalian Maritime University
    Marine Transportation

Frequently Asked Questions about Hao Wu

What company does Hao Wu work for?

Hao Wu works for Meta

What is Hao Wu's role at the current company?

Hao Wu's current role is Data Scientist at Facebook.

What is Hao Wu's email address?

Hao Wu's email address is hw****@****ook.com

What schools did Hao Wu attend?

Hao Wu attended University Of Virginia, Georgia Institute Of Technology, Shanghai Jiao Tong University, Dalian Maritime University.

Who are Hao Wu's colleagues?

Hao Wu's colleagues are Shakib Thakur, Mou Hamed Mou Hamed, Hang Li, Robin Panchal, Lari Stone, Vinod S., Maddy Bowen.

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