Alice Yang Email and Phone Number
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I am a passionate leader and accomplished data scientist, with 14-year work experience and solid education background of 2 Master of Science degrees from Massachusetts Institute of Technology. My strong and continuous desire to learn, to improve, to achieve enables me to perform beyond expectation for each role. My extensive leadership capability has been recognized by supervising 10+ data scientists, mentoring and developing 5+ people to management roles, leading enterprise-level complex projects with cooperation across 10+ technical/business teams, and giving many presentation to executive levels.Business Acumen: Marketing Analytics, Pricing Optimization, Product Recommendation, Portfolio Management, Customer Acquisition, Retail Store Selection, Referral Analysis, Market Share, Digital Marketing, Web Analytics, Social Media Marketing, Search Engine Optimization, Advertisement Effectiveness, Credit Worthiness, Field Operations, Customer Retention, Customer Care, Customer Lifetime Value, Churn Analysis, Next Best Action, Loyalty Program, Content Intelligence, Fraud Detection, Anomaly Detection, Cross-Selling, Up-Selling, Product Innovation, Decarbonization, Campaign Planning, A/B Test, Market Research, Competitive Analysis, Customer ExperienceTechnical Skills: Machine Learning, Deep Learning, Reinforcement Learning, Generative AI, Optimization Methods, Survival Modeling, Bayesian Statistics, Big Data, Data Engineering, Data Governance, Data Visualization, Data Observability, Parellal Computation, Gradient Boosting, Focal Loss, SMOTE, Cross Validation, Calibration, Neural Network, Random Forest, Graph Neural Network, PageRank, Collaborative Filtering, Contextual Multi-Armed bandit, Image Recognition, Natural Language Processing, Large Language Model, Unsupervised Learning, Cluster Analysis, Principal Component Analysis, Statistical Test, Logistical Regression, Time Series Analysis, Multivariate Regression, Econometrics, Latent Class Model, Monte Carlo SimulationProfessional Tools: Python, Databricks, Amazon SageMaker, Google Cloud Platform, Azure DevOps, Gitlab, Docker Container, Jupyter Notebook, PyCharm, Visual Studio Code, Data Lake, Snowflake, MongoDB, Feature Store, Spark, SnowSQL, TensorFlow, MLflow, Airflow, Google OR, Tealium, Collibra, Monte Carlo, AWS Glue, AWS Lamda, API Gateway, AWS Pinpoint, Oracle Database, MS SQL, Hadoop, Hive, SAS, R, Spotfire, Tableau, Power BI, IBM Cognos, iDashboards, Adobe Analytics, JIRA, Workfront, ServiceNow, Trello, Visual Basic, Confluence, Linux, Greenplum, Mozenda, Java, Perl, C/C++, MATLAB, CPLEX
Nrg Energy
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Director, Enterprise Ai And Data ScienceNrg Energy May 2022 - PresentHouston, Texas, Us• Supervise enterprise-level data science work, to support the growth of NRG Home, Service, Business, Vivint Smart Home, Power Generation, and Market Operations across North American regions.• Cooperate with IT, Data Governance, Data Engineer, Business Intelligence, Project Management teams to implement the lifecycle of data science products.• Develop enterprise data science team, guide continuous technical advance with machine learning models and infrastructure, enhance seamless connection with company-wide business stakeholders.
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Senior Director, Data ScienceTenerity Mar 2022 - Apr 2022Stamford, Connecticut, Us• Build AI-driven personalization and optimization solutions to expand profitable loyalty for 2K clients world-wide across industries.• Collaborate with business stakeholders to define strategy and explore innovative solutions.• Supervise all data science work for user intelligence, content intelligence, marketing intelligence, fraud detection, and pricing optimization.• Grow data science team, and build advanced infrastructure for ML OPS.Techniques: Python, AWS S3, Snowflake, Feature Store, MLflow, TensorFlow, AWS Sagemaker, AWS Glue, AWS Lamda, API Gateway, AWS Pinpoint, Robotic Process Automation, Jupyter Notebook, SnowSQL, Power BI, JIRA, ServiceNow, Confluence, SharePoint, OneNote, Data Engineering, Data Visualization, Statistical Modeling, Machine Learning, Deep Learning, Reinforcement Learning, Graph Neural Network, Optimization Methods, Parrel Computation, Image Recognition, Natural Language Processing, Residual Network, PageRank, Bayesian Statistics, Survival Modeling, Unsupervised Learning, Statistical Test -
Director, Pricing OptimizationNrg Energy Feb 2022 - Feb 2022Houston, Texas, Us
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Senior Manager, Marketing AnalyticsNrg Energy Aug 2018 - Jan 2022Houston, Texas, Us• Build comprehensive analytics tools to promote cross-selling of 50 NRG home service and renewable add-on products for 400K customers, achieve 18% margin expansion in 2021, lead NRG cross-selling forum discussion with senior leadership team to turn data insights to new strategy and marketing actions, create dashboard to monitor real-time market performance, use advanced machine learning models to predict customer purchase propensity for effective campaign targeting, and establish personalized product recommendation engine for call-center and digital channels.• Innovate personalized pricing optimization engine for Reliant Energy MTM customers, generate 6 advanced machine learning and survival models to forecast customer short-term and long-term responses given sequential pricing adjustment amount and schedule, find the best price and trade-off to maximize customer lifetime value, launch pilot A/B test with 10% gross margin improvement, successfully deploy to all MTM customer pricing given the promising results.• Take ownership of flat bill product pricing for Reliant Energy, Green Mountain Energy, Cirro Energy with 100K acquisition customers, host quarterly forum across brands and functions to review product performance and explore areas of opportunity, create dynamic dashboard to track real-time acquisition sales and margin, leverage advanced Bayesian models to better predict prospect usage amount and uncertainty to enhance personalized pricing engine.• Help build data science team from 5 to 30 people in 3 years, proactively support team member career growth with mentor recommendation and participation of Pathway to Leadership program, get nominated as inspirational leader, represent as brand ambassador for company culture book and website, give frequent presentation in company-wide forums to executive levels, receive NRG Awards of Significant Value Creation 10+ times in the team, and organize various social events for 50-500 people.
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Manager, Marketing AnalyticsNrg Energy Oct 2017 - Jul 2018Houston, Texas, Us• Lead revolutionary analytics projects to achieve company-wide goal of digital transformation, integrate cutting-edge techniques of machine learning, Bayesian statistics, survival modeling, optimization methods, big data and parallel computation, create the first personalized differential pricing engine for Reliant Energy and Green Mountain Energy contract renewal customers, demonstrate 19% margin enhancement and $20M annual incremental value through pilot A/B test. Project results have been presented to NRG board, executive levels, 100 business partners across brands and functions, and deployed to annual contract renewal population of 500K customers.• Manage large cross-functional cooperation project with 8 teams, enhance electricity bill simulation accuracy with real-time weather forecasting data for extreme weather scenarios, improve customer experience and retentive benefits for Reliant Energy and Green Mountain Energy through weekly summary email promotion. • Build an analytics transformation team with 6 data scientists, 2 Python engineers and 2 Business Intelligence analysts, and receive NRG Awards of Significant Value Creation 3 times in the team.Techniques: Python, AWS, Gitlab, Docker Container, Jupyter Notebook, PyCharm, Visual Studio Code, MLflow, MongoDB, Databricks, SQL, Oracle Database, Hadoop, Spotfire, Adobe Analytics, Tableau, Power BI, JIRA, Workfront, Trello, Linux, Google OR, SharePoint, OneNote, NumPy, Pandas, SQLAlchemy, Matplotlib, Bokeh, Plotly, Pickle, Scikit-Learn, StatsModels, SciPy, XGBoost, PyOpt, Mystic, PyMC3, PyStan, Lifelines, Data Mining, Data Visualization, Big Data, Machine Learning, Optimization Methods, Parrel Computation, Statistical Modeling, Econometrics, Extreme Gradient Boosting, Focal Loss, SMOTE, Bayesian Statistics, Survival Modeling, Cross Validation, Calibration, Neural Network, Random Forest, Natural Language Processing, Unsupervised Learning, Statistical Test, Logistical Regression, Cluster Analysis
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Senior Data Scientist, Marketing AnalyticsReliant Energy Jul 2015 - Sep 2017Houston, Texas, Us• Promote data-driven approach to fundamentally change marketing and sales strategies from mass communication to more customized and efficient ways of segmentation and geo-targeting. Business results have been presented to executive levels for retail store selection, summer campaign planning, go-local marketing events, and referral bill credit analysis.• Manage large cross-functional project with over 30-people cooperation to build automatic tracking system of acquisition sales by lead channels, which serves as the essential foundation of company-wide return on investment and acquisition optimization analysis.• Cooperate with IT to implement dynamic cross-selling platform for various non-commodity products, build statistical models to predict customer purchase propensity, and help call-center agents to recommend the right product to the right customer at the right time.• Lead efforts to expand company-wide use of data visualization tools for business analysis, present a breakthrough application of dynamic market share dashboard across NRG brands and teams, and share knowledge in various Spotfire training sessions and user group seminars.• Receive NRG Awards of Significant Value Creation 3 times, demonstrate strong leadership potential by mentoring 3 analysts, and organize China Electric Council visit to enhance US-China business discussion of retail energy industry deregulation. -
Data Scientist, Marketing AnalyticsReliant Energy Jul 2014 - Jun 2015Houston, Texas, Us• Explore big data of 6M residential meters in Texas, build predictive models to forecast prospect annual electricity usage and behavior changes, and provide personalized pricing for NRG Retail mass media promotion product of Predictable Plans, which helps to attract over 80K acquisition customers and generate $20M gross margin.• Take initiatives to investigate new data source for competitive intelligence analysis, decode customer switch destination patterns using phone survey results, and create the first innovative dashboard to help understand customer switch behaviors among NRG brands and competitors.• Design A/B test for various marketing initiatives of premium customer care, retentive services and product incentives, analyze customer retention benefits and effective targeting segments, and recommend actionable marketing solutions.• Build variety of metrics to monitor market performance and track customer behaviors in a timely manner, and work closely with IT to automate reporting process. Techniques: SAS, R, SQL, Hadoop, Hive, Hortonworks, AWS, Oracle Database, Visual Basic, Access, Spotfire, Power BI, Tableau, IBM Cognos, Graphical Table, Tree Map, Heat Map, Waterfall Chart, Workfront, Data Mining, Big Data, Business Intelligence, Data Visualization, Statistical Modeling, Econometrics, Statistical Test, Logistical Regression, Multinomial Logit Model, Multivariate Regression, Time Series Analysis, Cluster Analysis, Principal Component Analysis
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Senior Data Scientist, Digital AnalyticsComscore, Inc. Mar 2012 - Oct 2013Reston, Va, Us• Use Hadoop big data system to explore trillions of real-time online visit records for 300M US population, decode customer patterns across multiple devices and IP address, and create an innovative market share dashboard for Internet Service Provider with high-level granularity, which contributes to comScore long-term cooperation with 8 big telecom clients and over $10M project revenue.• Take initiatives to create statistical analysis to measure online advertisement effectiveness across devices, analyze customer engagement and sales lift by social media, advertise display and search engine, successfully introduce many new projects, and get high recognition from executive levels.• Lead efforts to conduct company-wide transition from old webpage scraping tool to Mozenda, work with IT to build infrastructure and diagnose system, create fully automatic workflow from uploading raw data to generating deliverable key performance metrics for large e-commerce clients, and reduce over 60% manual workload for routine reports.• Cooperate with sales team to launch the first search engine optimization project, track customer flow from search engine to different wireless product webpages, and explore the best keywords to help AT&T drive customer awareness and digital sales.• Receive comScore High-Five Award for Outstanding Contribution, show strong leadership potential by mentoring 2 analysts, and organize various team meetings and social events. -
Data Scientist, Digital AnalyticsComscore, Inc. Jan 2011 - Feb 2012Reston, Va, Us• Take ownership of e-Commerce and e-Service reports for 12 telecom clients, significantly improve product mapping process with automatic keyword search, work with IT to build cognitively-simple user interface to run reports by customer segment and geo-location, which reduces 80% workload for ad-hoc requests.• Cooperate with sales team to launch the first market surveillance project, use webpage scraping tool to capture dynamic pricing and product offers of telecom websites by different geo-location, and help Comcast to detect competitor marketing strategies in a timely manner.• Work on various web analytics projects, measure customer online shopping duration and conversion rates, and recommend enhancement solutions to improve customer experience and digital sales.Techniques: Hadoop, AWS, Pig, Greenplum, SAS, Mozenda, SQL, Microsoft Server Database, Sybase, Visual Basic, Access, iDashboards, JIRA, Data Mining, Big Data, Data Visualization, Parallel Computation, Statistical Test, Time Series Analysis, Multivariate Regression
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Intern, Revenue ManagementUs Airways Jul 2010 - Sep 2010Us• Explore big data of billions of historical passenger travel records, build predictive models to forecast individual passenger show-up propensity, and work with IT to create automatic forecasting process for over 3K domestic flights each day.• Optimize real-time airline overbooking system with best trade-off between potential accommodation cost and margin benefit, which helps US Airways to achieve annual incremental margin over $5M and get US patent issued.Techniques: SAS, Oracle Database, Linux, Java, Perl, Data Mining, Statistical Modeling, Econometrics, Optimization Methods, Logistical Regression, Latent Class Choice Model, Multivariate Regression -
Teaching AssistantMassachusetts Institute Of Technology (Mit) Feb 2010 - May 2010Cambridge, Ma, UsStatistical modeling and forecasting -
Research AssistantMassachusetts Institute Of Technology (Mit) Sep 2006 - Jan 2010Cambridge, Ma, UsForecast market demand of new travel products, and design web survey to collect customer perspectives.
Alice Yang Skills
Alice Yang Education Details
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Mit Sloan School Of ManagementOperations Research -
Massachusetts Institute Of TechnologyTransportation And Logistics
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Coursera Online
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Tsinghua UniversityBachelor Of Science (B.S.)
Frequently Asked Questions about Alice Yang
What company does Alice Yang work for?
Alice Yang works for Nrg Energy
What is Alice Yang's role at the current company?
Alice Yang's current role is Enterprise AI and Data Science Director at NRG Energy | MIT Graduate | 14-Year Work Experience | Marketing | Pricing | Trading.
What is Alice Yang's email address?
Alice Yang's email address is al****@****ail.com
What schools did Alice Yang attend?
Alice Yang attended Mit Sloan School Of Management, Massachusetts Institute Of Technology, Coursera Online, Tsinghua University.
What skills is Alice Yang known for?
Alice Yang has skills like Data Mining, Data Analysis, Statistics, R, Sas, Optimization, Statistical Modeling, Quantitative Analytics, Matlab, Project Management, Market Research, Sql.
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