David Whitfield Email and Phone Number
As a results-driven data scientist, I am passionate about leveraging the power of data to drive strategic initiatives and enhance operational efficiency. With a strong foundation in machine learning, predictive analytics, data mining, and data visualization, I bring extensive knowledge and experience to the table. My technical proficiencies include R, Python, SQL, Snowflake, and Power BI, allowing me to excel in data cleaning, transformation, feature engineering, risk assessment, and financial analysis.Throughout my career, I have led impactful projects that have brought about positive change. At Brookfield Property Retail, I utilized text mining and NLP to provide invaluable insights, leading to the hiring of a Diversity, Equity and Inclusion Manager and the establishment of companywide Employee Resource Groups. Additionally, I streamlined workflows, improved operational efficiencies, and collaborated with stakeholders to implement a data governance framework. At the National Futures Association, I applied machine learning to identify high-risk firms and optimize resource allocation. I also designed a mission-critical dashboard to track the performance of deployed production models.Moving forward, I am eager to continue utilizing my skills to help businesses make data-driven decisions. My goal is to identify forward-looking opportunities, conduct research and analysis, and uphold the strategic direction of the organization through effective leadership. I am committed to driving growth, mitigating risks, and fostering a culture of information sharing. Let's discuss how I can contribute to your organization's success by leveraging data science, ingenuity and leadership.
Zurn Elkay Water Solutions
View- Website:
- zurnelkay.com
- Employees:
- 1161
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Lead Data ScientistZurn Elkay Water SolutionsChicago, Il, Us -
Data Scientist, Business Intelligence & Strategy, Retail At Brookfield PropertiesBrookfield Properties 2019 - 2023New York, Ny, UsLeveraged data science methodologies, best practices, statistical techniques, tools and technologies (R, R Shiny Applications, Python, SQL, Snowflake, Power BI) to support data driven decisions; to extract novel information from available sources; and to deliver actionable insights and strategic recommendations.• Applied NLP to assess/explore open-ended survey questions (unstructured data).• R Shiny Developer automated pragmatic tasks to improve efficiency. -
Data Scientist/Quant AnalystNational Futures Association 2016 - 2019Chicago, Il, Us• Partner with subject matter experts to extract intel for data discovery and business understanding • Research, acquire, mine, clean, transform and analyze internal and external data to identify patterns and trends (graphical and non-graphical).• Apply statistical techniques in data analysis to quantify perceived risks for stakeholders• Integrate R programming within the SPSS Modeler predictive platform to expand functionality• Utilize machine learning techniques (i.e. Random Forest, SVM, Logistic Regression, Boosted Trees etc…) in R and SPSS Modeler to model predictive outcomes (i.e. classification) -
Risk AnalystWec Energy Group 2007 - 2015Milwaukee, Wi, Us• Adept at researching, deducing and interpreting data/findings to deliver actionable • Interpolated and extrapolated data to model power and natural gas forward price curves for mark-to-market valuations• Generated ad-hoc reporting with structured and unstructured data using internal and external sources • Standardized daily business practices to mitigate risks and improve corporate governance • Aligned stakeholders’ interests to adopt new risk controls promoting transparency and improved documentation • Co-authored and revised department risk policies -
Credit Risk AnalystPeoples Gas 2006 - 2007Chicago, Il, Us• Developed a financial scoring model to support and to document credit decisions concerning counterparties’ creditworthiness • Collaborated with the marketing organization and clients/counterparties to address credit line needs, terms and applicable risks• Monitored exposures on margined contracts; concurred or disputed margin and collateral calls • Spearheaded SOX testing and assessment process -
Sr. Financial Services AnalystSony Electronics Sep 1999 - Jun 2006San Diego - Us | Tokyo - Jp, Us• Adept at conflict resolutions and resolving customer disputes (vendor incentive rebates credits, scheduled payments, product shipment schedules, concealed shortages, pricing, term negotiations etc)• Leveraged credit/risk management knowledge to assist the sales team in closing/obtaining various deals bolstering revenues 10% - 25% in key product categories• Proficient in financial statement analysis (trend, ratio, working capital and cash flow analysis) to determine risk factors associated with extending credit to new and existing dealers
David Whitfield Skills
David Whitfield Education Details
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Northwestern UniversityPredictive Analytics
Frequently Asked Questions about David Whitfield
What company does David Whitfield work for?
David Whitfield works for Zurn Elkay Water Solutions
What is David Whitfield's role at the current company?
David Whitfield's current role is Lead Data Scientist.
What schools did David Whitfield attend?
David Whitfield attended Northwestern University.
What are some of David Whitfield's interests?
David Whitfield has interest in Children, Environment, Education, Science And Technology, Arts And Culture, Health.
What skills is David Whitfield known for?
David Whitfield has skills like Risk Management, Data Analysis, Market Risk, Financial Analysis, Analysis, Credit Risk, Data Mining, Analytics, R, Credit Analysis, Credit, Sas.
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