updated portfolio

content/authors/admin/_index.md

@@ -16,16 +16,17 @@ education:
     year: 2010
 email: "[email protected]"
 interests:
-- Marketing Analytics
 - Data Science
+- Machine Learning
 - Data Visualization
 - Statistical Modelling
-- Machine Learning
+- Marketing Analytics
+
 name: Leo (Miao) You
 organizations:
-- name: Center for Vein Restoration
-  url: "https://www.centerforvein.com"
-role: Analyst
+- name: Circle K
+  url: "https://www.circlek.com"
+role: Senior Data Scientist
 social:
 - icon: envelope
   icon_pack: fas
@@ -47,15 +48,19 @@ user_groups:
 - Visitors
 ---
 
-Leo (Miao) You currently an Senior Data Scientist at Circle K. Prior to Circle K, he's been working as a data analyst for over 5 years at Center for Vein Restoration - the nation's largest physician owned vein clinic treating varicose veins and venous insufficiency. As a graduate from University of Maryland in Marketing Analytics and Harrisburg University of Science and Technology in Analytics, Leo (Miao) You's professional passion are data analysis and visualization, statistical modelling, data science and machine learning. As a highly motivated Data Scientist, Leo has 6+ years experience in Data Analysis and Machine Learning, 4+ years experience in Marketing Analysis and 1+ year experience in pricing optimization and data-driven merchandising
+Leo (Miao) You currently an Senior Data Scientist at Circle K. Prior to Circle K, he's been working as a data analyst for over 5 years at Center for Vein Restoration - the nation's largest physician owned vein clinic treating varicose veins and venous insufficiency. 
+
+As a graduate from University of Maryland in Marketing Analytics and Harrisburg University of Science and Technology in Analytics, Leo (Miao) You's professional passion are data analysis and visualization, statistical modelling, data science and machine learning. As a highly motivated Data Scientist, Leo has 6+ years experience in Data Analysis and Machine Learning, 4+ years experience in Marketing Analysis and 1+ year experience in pricing optimization and data-driven merchandising
 
 
-Technical Skills
-- Programming: SAS, SQL, R Studio, SPSS, Python, Hyperion, MS Visual Studio, Jupyter Notebook
-- Database: SQL Server, Mongo DB
-- BI Tools: Tableau, Power BI
-- Web and Social Media: Google Analytics, Facebook Business Manager
-- Marketing Research: Survey Monkey, Qualtrics
-- Machine Learning: Hadoop, Decision Tree, Random Forest, Clustering, Naive Bayes, Principal Component Analysis, Support Vector Machine
-- Statistical Methods: Linear and Linearizable Regression models, Generalized Linear models: Poisson and Binary models, Choice modeling using Multinomial logit, Segmentation, Targeting and Positioning using Mixture Cluster and Mixture Regression Models, Conjoint Analysis, A/B Testing, Market Demand Forecasting using Bass, Exponential and Trial-Repeat Models
-- Others: Microsoft Office, Sharepoint 
+**Technical Skills**
+- **Programming**: R, Python, SAS, VBA, PowerShell, HTML, Spark
+- **Database**: SQL/T-SQL, NoSQL, MS SQL Server, Oracle, MySQL, PostgreSQL, MongoDB, Databricks
+- **Cloud Computing**: MS Azure
+- **BI Tools**: Tableau, Power BI
+- **Data Science & Machine Learning**: EDA, ETL, SSIS, General Linear (Linear/Logistics/Polynomial Regression with Regularization), SVM, Bayes, Tree-Based (Decision Tree with pruning, Random Forest, Boosted, etc.), K-NN, Clustering (K-MEANS, DBSCAN, Hierarchical), Hypothesis Testing, SSRS, Advanced Excel (Formulars, Pivot, VBA, Power Query), etc. 
+- **Statistical Methods**: Linear and Linearizable Regression models, Generalized Linear models: Poisson and Binary models, Choice modeling using Multinomial logit, Segmentation, Targeting and Positioning using Mixture Cluster and Mixture Regression Models, Conjoint Analysis, A/B Testing, Market Demand Forecasting using Bass, Exponential and Trial-Repeat Models
+- **Web and Social Media**: Google Analytics, Facebook Business Manager
+- **Marketing Research**: Survey Monkey, Qualtrics
+- **Project Management & Version Control**: Agile, Scrum, TFS, Git, Airflow, Docker, Confulence
+- **Others**: Microsoft Office, Sharepoint

content/home/accomplishments.md

@@ -37,5 +37,15 @@ date_format = "Jan 2006"
   date_start = "2015-10-01"
   date_end = ""
   description = ""
+
+[[item]]
+  organization = "Microsoft"
+  organization_url = ""
+  title = "Microsoft Technology Associate: Database Certification"
+  url = ""
+  certificate_url = ""
+  date_start = "2020-11-01"
+  date_end = ""
+  description = ""
 
 +++

content/home/experience.md

@@ -17,13 +17,31 @@ date_format = "Jan 2006"
 #   Required fields are `title`, `company`, and `date_start`.
 #   Leave `date_end` empty if it's your current employer.
 #   Begin/end multi-line descriptions with 3 quotes `"""`.
+
+[[experience]]
+  title = "Senior Data Scientist"
+  company = "Circle K"
+  company_url = "https://www.circlek.com"
+  location = "Tempe, AZ, 85282"
+  date_start = "2021-10-04"
+  date_end = ""
+  description = """
+  Responsibilities include:
+  * Led a team of 4 data scientists in developing non-linear optimization model with complex objective function and constraints in R using NLOPTR framework to provide price recommendations to business units
+  * Implemented localized pricing initiatives on 9 business units with over 3000+ stores and 20k+ items from data preparation, elasticity modeling, price optimization to recommend optimal price to key stakeholders, generating 1.2M+ annual margin uplift per business unit
+  * Built site selection tools using advanced ML models (Regularization, Tree-Based, XGBoost, etc.) based on 30+ features, automated model selection from 15+ models using Databricks AutoML, increasing model performance by 15% while reducing labor hour by 70%
+  * Designed automated ETL pipelines using PySpark and Databricks delta tables to extract millions rows of data from multiple sources and transaction logs
+  * Modularized and scaled up legacy code in Python by encapsulating codes into classes and functions, reduced average runtime by 80%
+  * Served as SME and code owner in optimization models to support 20+ data scientists during the price refresh, mentoring onboarding data scientists to quickly pick up tools, platforms and data science projects by holding multiple knowledge transfer sessions.
+  """
+
 [[experience]]
   title = "Data Analyst"
   company = "Center for Vein Restoration"
   company_url = "https://www.centerforvein.com"
   location = "Greenbelt, MD, 20770"
   date_start = "2016-01-11"
-  date_end = ""
+  date_end = "2021-10-03"
   description = """
   Responsibilities include:
   * Worked closely with IT, Operation, Sales and Finance departments and took a lead role in providing Data Reporting and Analysis