Yan Mcgowan Email and Phone Number
Yan Mcgowan work email
- Valid
Yan Mcgowan personal email
I am a data scientist with PHD in statistician who providing customized and innovative data analysis for business data-driven decision making using machine learning, deep learning and statistical modelings. With an MBA degree and industry experience, I have strong business knowledge and stakeholder communication skills. My professional experience and skills include:• Impressive experience in modeling, machine learning, deep learning, data mining, data visualization, methods development, etc.• Strong knowledge and experience in random forests, neural networks, support-vector machines, linear models, time series, mixed model, mixture model, causal inference, hypothesis test, etc.• Strong programming and computation skills in Python, R, SAS, SPSS, Matlab, Minitab and Tableau.• Extensive collaboration experience with diverse interdisciplinary researchers in public health, oncology, biology, agriculture, food science, marketing, finance, economics, engineering, etc.• Good at time management with fast paced and multi-disciplinary environment.• Efficient communication of technical solutions to non-statisticians and data scientists.
Climate Llc
View- Website:
- climate.com
- Employees:
- 534
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Climate LlcCalifornia, United States
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New Business Model In-Silico Experimentation LeadClimate Llc May 2022 - PresentSt. Louis, Missouri, Us
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Senior Data ScientistClimate Llc Jul 2021 - May 2022St. Louis, Missouri, Us
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Data ScientistClimate Llc Oct 2019 - Jul 2021St. Louis, Missouri, Us
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Data ScientistGe Healthcare Nov 2018 - Sep 2019Chicago, Us• Determine lung cancer and nodule segmentation using CNN, RNN and GANs models with CT images (DICOM data)• Predict primary lung, kidney and skin cancer risk and using patients EHRs and demographic information • Collaborate with hospitals to predict toxicity for cancer drugs to help doctors determine personalized cancer treatments -
Data Scientist FellowInsight Data Science Jun 2018 - Nov 2018San Francisco, Ca, Us• Collaborate with a company to develop multi label diagnosis classification with important 13 ICD-10 code, 700+ symptoms and 1M health record for building AI personalized doctor system • Use problem transformation (One-vs-the-rest binary relevance method with logistics regression Bayesian Regression and random forest and classifier chain with logistics regression), adapted algorithm (MLKNN) and ensemble approach with random forest for multi label classification• Conduct PCA, factor analysis and Lasso on logistics regression to reduce features -
Data Analyst, Research Assistant - Institution Of Computational Comparative MedicineKansas State University Feb 2017 - May 2018Manhattan, Ks, Us• Clean and process messy experimental and literature review data sets • Review government regulatory guidelines, including U.S Food and Drug Administration (FDA), Center for Veterinary Medicine (CVM), European Union agency (EMA), International Council for Harmonization of Technical Requirements for Pharmaceuticals for Human Use (ICH), etc. • Conduct new statistical approaches to improve FDA and CVM methods for data below limit of quantitation • Build and develop physiologically based pharmacokinetic (PBPK) models for drug depletion research• Develop new statistical methods and models to establish withdrawal period• Write and validate SAS, R and Berkley Madonna code for data analysis and model development • Interpret and explain statistical results to non-statistician researchers and pharmacokinetics concept to statistician• Conduct statistical analysis report and publications for peer-review journal -
Data Analyst, Reaseach Assistant - Statistical Consulting LabKansas State University Aug 2014 - Aug 2016Manhattan, Ks, Us• Communicated with clients from diverse research areas• Worked over 100 projects• Designed experiments for clients to meet specific research objectives• Applied and conducted appropriate methods and models for specific data analyst, such as machine learning methods, linear prediction models, generalized liner mixed models, logistic regression, count data regression, multivariate analysis, time series analysis, spatial analysis, etc.• Wrote and validated SAS, R and Python code for data analysis and model development • Interpreted and explained statistical results to clients, their supervisors and other stakeholders • Mentored Statistics Consulting Lab students• Collaborated on research with other department, such as agriculture, food science, public health, veterinary medicine, biology, etc.
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StatisticianMonsanto Company May 2015 - Aug 2015St. Louis, Missouri, Us• Worked in Statistical Technology Center at the government affairs and regulatory department • Collaborated on research with the agronomy team • Built and developed model to meet research objectives with 10 countries, 5 years, 65 sites of maize data in SAS, R• Conducted multiple hypothesis tests to check GMO product conditions • Wrote publication with coworkers• Designed and shared project results in a poster at the summer internship poster session• Presented the summer project at department-wide seminar -
Student Project With Kansas City Southern Railway CompanyKansas State University Jan 2014 - May 2014Manhattan, Ks, Us• Communicated and collaborated with finance department research team as part of a business class project• Ingested ,maintained and managed over 20 years historical market market, financial and economic data• Proposed appropriate statistical data analysis plans• Built and developed market forecasting model with historical market data in R and SAS• Built and developed financial profit prediction model with over 200 marketing, financial and economic variables in R and SAS• Compared model prediction accuracy with company’s existing model • Wrote business report to CFO and finance department managers about new models, key findings, market trends and strategic implications• Presented results with clear PowerPoint slides
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Marketing Department Graduate Teaching And Research AssistantKansas State University Aug 2012 - May 2014Manhattan, Ks, Us• Designed, monitored and collected survey research data • Used causal inference to analyze survey research and observational study data• Collected, cleaned, restructured and analyzed data sets with Python • Helped marketing department professors analyze marketing data using SAS • Created macro SAS/R code for analyzing big marketing datasets• Used Pajek and Tableau program to analyze and visualize large network data
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Chinese Business Association Graduate AssistantKansas State University Aug 2012 - May 2014Manhattan, Ks, Us• Helped professor arrange, prepare and organize CBA actives
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Student Assistant In Soil Microbiology Lab At Agronomy DepartmentKansas State University May 2011 - Aug 2012Manhattan, Ks, Us• Worked as soil microbiology lab student assistant • Collected soil and plant measurements from agricultural field and lab experiments • Helped design experiments to conduct research on carbon and nitrogen analysis in soil• Consulted with graduate student researchers about statistical questions• Sampled, washed, dried and analyzed plants root samples • Collected gas samples from farm and analyzed using gas chromatography
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Statistics Department Graduate Teaching AssistantKansas State University Jan 2012 - May 2012Manhattan, Ks, Us• Taught Stat 325 Introduction to Statistics• Helped teach Stat 510 Introductory Probability & Statistics when professor was absent • Assigned and graded homework, quizzes and exams• Answered students’ questions during office hours
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Summer InternDeloitte China Jul 2010 - Aug 2010Worldwide, Oo• Received training on Deloite auditing system and audited for Cuiwei Department Store• Reviewed the audit report for Chinese Construction Trade• Organized an outreach activity and gave a presentation about the activity to the employees and employers -
Summer InternVocation International Cpa Jun 2010 - Jul 2010• Audited for YTO Group Corporation • Spot-checked vouchers and recorded inventory for YTO Group Finance Co., Ltd.
Yan Mcgowan Skills
Yan Mcgowan Education Details
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Kansas State UniversityStatistics -
Kansas State UniversityManagement And Operations
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Kansas State UniversityStatistics
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Capital University Of Economics And BusinessEconomic Statistics
Frequently Asked Questions about Yan Mcgowan
What company does Yan Mcgowan work for?
Yan Mcgowan works for Climate Llc
What is Yan Mcgowan's role at the current company?
Yan Mcgowan's current role is Senior Data Scientist, PHD in statistics, MBA.
What is Yan Mcgowan's email address?
Yan Mcgowan's email address is ya****@****ate.com
What schools did Yan Mcgowan attend?
Yan Mcgowan attended Kansas State University, Kansas State University, Kansas State University, Capital University Of Economics And Business.
What skills is Yan Mcgowan known for?
Yan Mcgowan has skills like Data Analysis, Research, Management, Statistics, Agriculture, Economics, Financial Modeling, Data Modeling, Biostatistics, Statistical Modeling, Data Mining, Machine Learning.
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