Dave Mckinley Email & Phone Number

Middletown, Ct, Us

United States

• Coordinates with data owners to aggregate data and produce periodic and ad hoc management and committee level reporting • Leverages SQL scripting to access and transform data• Utilizes Python and PowerBi to automate reporting • Collaborates with senior leadership to enhance existing reporting and develop new reporting• Develops new metrics, KRIs, and KPIs to appropriately measure and reflect financial crime compliance risks • Manages data for annual AML and Economic Risk Assessments• Continuously enhances reporting to reflect regulatory change

New York, United States

• Leverages proprietary Natural Language Processing Machine Learning and risk assessment tools across structured and unstructured data to risk assess companies across 5 risk categories• Collaborates with internal and external teams to develop proof of concepts, align with client expectations, meet deliverable deadlines, and other ad hoc requests and projects• Creates and manages end-to-end project workflows including data cleaning, ingestion, and manipulation, uploading data to and maintaining Sisense dashboards, and report generation and delivery• Collaborates with international teams to manage multiple ongoing client deliverables under tight turnarounds and deadlines• Writes Python script to automate multiple steps of report generation to reduce report generation time by over 1,000%• Utilizes JasperSoft reporting technology to increase analyst report generation output by 4x• Quality checks product output and deliverables before sending them to the client success team for transmission to the client• Develops written standard operating procedures for new and updated processes to train new hires.

Media Bias AnalysisApplied NLP techniques and various supervised machine learning models to predict and LIME to explain Media Bias • Gathered, cleaned, and processed over 2.9 million piece dataset for analyzation• Investigated the corpus using Pandas to draw comparisons between different targets• Explored Logistic Regression, Support Vector Machines, XGBoost & a neural network to determine best performing model • Utilized the LIME module to explain decision making in “black box” models Tweet Sentiment AnalysisImplemented NLP techniques to develop a model to predict sentiment based on tweets from an SXSW Festival• Collaborated with team to develop a strong notebook, organized GitHub repository & presentation with data insights• Experimented with Regular Expressions, TweetTokenizer, and other processing techniques to best process the data• Developed a tuned neural network to make accurate predictions and prevent overfittingCustomer ChurnUtilized different machine learning models to predict and directed business decisions to reduce customer churn• Implemented Scikit-Learn to streamline modeling process by developing pipelines • Explored salient features of Decision Tree to make business recommendations to reduce churn• Developed visualizations using Seaborn and Matplot to gain a deeper understanding of the data

New York City Metropolitan Area

• Executed multiple corporate conferences and social events with meticulous detail to a high degree of accuracy• Ensured high profile members and guest's needs were met in a timely and professional manner• Utilized Microsoft Suite for weekly scheduling, monthly inventory, and sales tracking• Utilized Jonas Club Management Software to adjust member financial accounts and update backend of Point of Sale systems• Conducted daily meetings with the banquet, serving and bartending staff for training, policy review and teambuilding purposes• Conducted bi-weekly Banquet Event Order meetings with upper management• Completed daily detailed reports of all club events for upper management

South Salem, New York

• Executed detailed and complex upscale weddings and other social events• Met guests' requests and needs throughout events in a timely and professional manner• Set performance and service standards to keep a consistent, high-quality environment devoted to guest satisfaction• Liaised with clients, vendors, and management team before, the day of, and throughout events• Received and verified food, beverage, and other product deliveries• Delegated tasks to a staff of over 20 to maximize production under tight deadlines• Coordinated food service for over 250 guests with Executive Chef• Assessed team process to reduce course plate out time by 50%

Bronx, New York, United States

• Developed and implemented lesson plans, and assessments, to analyze student performance• Maintained thorough and detailed records of student performance and achievement• Developed and implemented lesson plans that addressed general students as well as those with individualized 504 plans as part of integrated classroom.• Led whole group, small group and one-on-one interventions in a variety of subjects• Communicated frequently with parents, students and faculty to provide feedback and discuss instructional strategies• Evaluated and revised lesson plans and course content to achieve student-centered learning• Completed daily detailed reports, meal count sheets and attendance logs

Tarrytown, New York, United States

2015-06 - 2016-07 Assistant General ManagerMint Premium Foods, Tarrytown, NY• Continuously evaluated business operations to effectively align workflows for optimal area coverage and customer satisfaction• Organized and managed foodservice training in an upscale dining setting for over 100 guests• Immediately resolved issues with patrons by using careful listening and communication skills• Delivered in-depth training to workers in customer-facing roles to promote team performance• Facilitated formal functions including room layout, food, and beverage service for guests• Handled cash accurately and prepared nightly deposits• Delegated all opening and closing responsibilities

Storrs, Connecticut, United States

• Developed and deployed successful strategies to boost restaurant performance, streamline food preparation processes and increase efficiency in different areas• Maintained high food quality standards by checking delivery contents to verify product quality• Trained staff on proper cooking procedures, safety regulations, and productivity strategies• Coordinated rapid meal preparation during peak business for in-house and at home guests• Maintained and organized all restaurant inventory to ensure proper inventory levels• Handled cash, credit card receipts, and nightly drops from all daily business• Communictaed guests and vendors needs to the owner in a timely manner

Data Science

Bachelor Of Arts - Ba, Sociology