Christopher Meier Email and Phone Number
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I am a passionate individual with a strong foundation in statistics who brings over 10 years’ experience of digging deep in the data and applying advanced analytics to produce revenue-generating and cost-cutting products for customers. My offering is one of professionalism, strong business acumen, and an added creative spirit to find unique data solutions that provide the greatest organizational impact. I lead by example and inspire others to produce results that achieve business goals and their individual aspirations.Having graduated with a dual master’s in business administration and statistics in 2013 provided me with a solid analytical foundation to expand into machine learning and apply advanced techniques to unique business problems such as marketing survey analysis, customer attrition, forecasting customer credit charge off, airport capacity predictions, and natural language annotation of aviation NOTAMs to name just a few. AREAS OF EXPERTISE:► Languages / Packages ◄Python ♦ SciKit-Learn, SciPy, NumPy, Pandas, Matplotlib, SeabornR ♦ caret, e1071, gbm, xgboost, lme4, cluster, forecastSAS ♦ Base, Stat, ETS, Proc SQL► Software / Databases ◄Stats / Visual ♦ JMP, TableauDatabases ♦ PostGres, SQLite, MySQL, Business ObjectsVersion ♦ Git / GithubCloud ♦ AWS► Analytical Methods ◄Deep Learning ♦ Convolutional Neural NetworksSupervised Machine Learning ♦ GBM, SVM, KNN, Elastic-Nets, MARS, Robust and Quantile Regressions, Random ForestsUnsupervised Machine Learning ♦ PCA, K-means, DBSCAN, Hierarchical ClusteringInferential Statistics ♦ A/B Testing & Experimental Design; ANOVA; Generalized Linear, Additive, and Mixed ModelsTime-Series Forecasting ♦ ARIMA, VAR, ARCH, Decomposition, Feature Extraction
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Principal Data ScientistKraft Analytics Group Apr 2024 - PresentFoxborough, Massachusetts, Us -
Senior Data ScientistKraft Analytics Group 2019 - Apr 2024Foxborough, Massachusetts, UsResearch, design and prototype scalable models based on machine learning, data mining, and statistical modeling. Synthesize and present meaningful insights and recommendations to internal and external stakeholders. Collaborate with cross-functional groups and create custom solutions as needed. Train Analytics & Data Science team members on cutting edge techniques and technologies.• Lead the rebuild of a Customer Lifetime Value model by querying and incorporating new features to enhance predictions.• Lead the building of a first-time client machine learning based pricing model utilizing both client data and public web scraped data. -
Data ScientistXl Fleet Electrification 2018 - 2019Boston, Us♦ Explore large data sets to identify patterns and suggest creative solutions to a variety of challenges related to automotive fuel economy, equipment health and real time data processing.♦ Work collaboratively with a small team of software developers to implement ideas.♦ Work with product managers and stakeholders to develop effective data visualization presentation strategies to provide value to customers. -
Data ScientistThe Weather Company, An Ibm Business 2016 - 2018Brookhaven, Georgia, UsDesign best-in-class analytical products for global aviation companies by developing predictive, descriptive, and proscriptive analytical products. Analyze and create methodologies for correcting, scoring, and forecasting. Design complex analytical models. ► Project Highlights ◄♦ Researched, designed, and developed an ensemble machine learning solution, predicting major United States airport arrivals / departures capacity, using weather forecasts and current airport conditions.♦ Created prescriptive capacity negotiation tool for airlines, suggesting historical capacities via k-nearest neighbors for minimizing potential financial loss from diverted flights. Monetary impact to airlines on delay ranges in multi-millions at major hubs. ♦ Investigated viability of computer vision systems, including Watson stack, to collect data on current airport conditions.♦ Devised combined rule-based / ML-based language annotation system, leveraging Watson natural language processing, extracting meta-data from broadcasted Notice to Airmen (NOTAMs). -
Data Scientist - AnalyticsWex 2015 - 2016Portland, Maine, UsDeveloped and coded software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources; and identified meaningful insights from large data and metadata sources. ► Project Highlights ◄♦ Created algorithm, identifying miscoded product fuel codes, utilizing customer prior purchasing behaviors and geographically relative fuel prices.♦ Designed process to score transactions, discovering potential fraud, using fuel price and efficiency, mileage, and GPS location. -
Analyst Ii - Portfolio Risk AnalyticsWex 2013 - 2015Portland, Maine, UsForecasted monthly charge off and created budget and quarterly forecasts of credit loss. Assessed overall portfolio health. Researched and developed tools that increased understanding of portfolio behavior, improved accuracy of forecasts, or reduced input requirements for faster work flow. Assisted cross-discipline departments with advanced analytics ► Project Highlights ◄♦ Reformulated credit loss forecasting model from deterministic methodology to statistical method with external macro-level economic leading indicators and internal segmented portfolio inputs.♦ Constructed a testing environment to compare in and out of sample accuracy metrics and visualizations over a multitude of forecasting models♦ Improved ability to assess portfolio risk and data integrity, and increased workflow reporting efficiency by assessing and replacing current reporting suite with dynamic data visualizations in Tableau. ♦ Built modular data wrangling program, pre-processing, merging, and post-processing datasets for team’s new Tableau reporting suite.♦ Reduced committed labor hours of finance department for building fuel price forecast by creating automated forecasting models of expected portfolio fuel prices ingesting fuel future contracts. -
Business Intelligence Analyst (Intern)Wex May 2013 - Sep 2013Portland, Maine, UsAssigned to the Portfolio Risk Analytics team to research, analyze, and build analytical models that improve time-based decision making.► Project Highlights ◄♦ Constructed and assessed the viability of a logistics regression ensembling aggregator to predict account terminations after applying various dimension reduction techniques -
Statistics InstructorUniversity Of Southern Maine 2014 - 2016Portland, Me, UsInstruct Intro to Statistics to students in the understanding and application of probability and statistical concepts. -
Statistician (Intern)State Of Maine, Office Of Information Technology 2013 - 2013Conducted two key research initiatives, IT industry professional salary study and project management billable hours forecast modeling.► Project Highlights ◄♦ Designed and distributed a survey to a random sample of companies for accurate and efficient collection of current salary market data♦ Developed a dashboard aimed at tracking and presenting personnel transitions for Workforce Development
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Center For Business And Economic Research - Graduate Research AssistantUniversity Of Southern Maine 2010 - 2013Portland, Me, UsCenter for Business and Economic Research (CBER)Performed mathematical and statistical analysis of business problems by researching, planning, and developing solutions for business clients. Extensive research in the application of time-series analysis and forecasting techniques for business.► Project Highlights ◄♦ Co-development a SAS program of an automated/semi-automated time-series forecasting process that regularly updates existing models with new data for forecasts♦ Retooled and enhanced the coding of this process that lead to reduced total user interaction from 6 hours to 20 minutes while ensuring process meets required statistical criteria -
AccountantDawson, Smith, Purvis, Bassett, P.A. 2008 - 2010Performed tax planning and tax return preparation for business and individual clients. Collaborated with clients to determine and implement solutions that reduced tax risk and improved financial transparency. Performed extensive data quality assurance and improvement through error identification and logic adjustment of clients financial records based on client needs and proper accounting standards to minimize risks. Developed complex spreadsheet templates for routine calculations to facilitate efficiency, effectiveness, and error reduction for use in financial reporting, tax return preparation, and forecasting.
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Financial AnalystCsc - Computer Sciences Corporation 2007 - 2008Global, UsUpdated Bath Iron Works’ database of purchased assets and the maintenance on those assets by correcting 2006 and 2007 accrual and amortization errors, analyzing the variances, and generating reports for the client. Acted as primary analyst for Mid Coast Hospital by tracking assets, analyzing revenue and cost, and generating month end reports including profit / loss statements and variances. Aided in the creation of monthly profit and loss statements for CSC’s Bath business unit and effectively communicated with other CSC units across the east coast.
Christopher Meier Skills
Christopher Meier Education Details
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University Of Southern Maine - School Of Mathematics And StatisticsStatistics -
University Of Southern Maine - School Of BusinessManagement And Operations -
Colorady State UniversityStatistics -
Penn State UniversityStatistics -
University Of Southern Maine - School Of BusinessAccounting
Frequently Asked Questions about Christopher Meier
What company does Christopher Meier work for?
Christopher Meier works for Kraft Analytics Group
What is Christopher Meier's role at the current company?
Christopher Meier's current role is Principal Data Scientist at Kraft Analytics Group.
What is Christopher Meier's email address?
Christopher Meier's email address is sh****@****msn.com
What is Christopher Meier's direct phone number?
Christopher Meier's direct phone number is +120774*****
What schools did Christopher Meier attend?
Christopher Meier attended University Of Southern Maine - School Of Mathematics And Statistics, University Of Southern Maine - School Of Business, Colorady State University, Penn State University, University Of Southern Maine - School Of Business.
What are some of Christopher Meier's interests?
Christopher Meier has interest in Programming, Research, Photography, Statistics, Mountain Biking.
What skills is Christopher Meier known for?
Christopher Meier has skills like Data Analysis, Statistics, Sas, Analysis, Microsoft Excel, Accounting, Analytics, Data Mining, R, Python, Microsoft Office, Sql.
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