Drew Esler Email & Phone Number

New York, Ny, Us

New Albany, Ohio, Us

Developed and led the operational strategy for Ohio State University's NIL (Name, Image, Likeness) Collective, leveraging data analytics to continuously refine initiatives and optimize athlete engagement.Conducted trend analysis and assessed program effectiveness using Python for predictive analytics, optimizing marketing strategies and targeting athlete partnerships through actionable insights.Designed and monitored KPIs using python for data manipulation, enabling evaluations of NIL initiatives’ impact.Managed and analyzed budget using Tableau for visual reporting and SQL for financial analysis, ensuring efficient resource allocation and data-backed financial planning.

New York, Ny, Us

Led the implementation of a robust data and analytics platform across North America for end-to-end reporting automation. This initiative streamlined decision-making processes, reducing reporting turnaround time by 50%.Architected and modernized HRG’s finance and analytics systems, focusing on productionalizing operational workflows. Delivered actionable insights that enhanced forecasting accuracy by 20% and operational efficiency.Developed, trained, and productionalized predictive analytics models using Python, enabling revenue trend forecasting with a 95% accuracy rate. These models contributed to a 15% year-over-year profitability increase by identifying key growth opportunities.Boosted tenant retention by 12% through advanced model-based segmentation and targeted engagement strategies. Utilized customer insights from AI-driven analytics to design personalized retention campaigns that improved loyalty and long-term satisfaction.

Gb

Collaborated with business development teams to design and deliver tailored proposals, highlighting scalable AI-driven solutions using tools like Azure ML, Databricks, and TensorFlow, resulting in a 20% increase in proposal acceptance rates and expanded client portfolio.Developed advanced analytics solutions, including interactive dashboards, statistical models, and machine learning applications, leveraging AI/ML frameworks such as PyTorch, Scikit-learn, and ModelOps pipelines to address specific client objectives, improving decision-making speed by 30%.Designed robust workflows for data engineering, preprocessing, train-test-validation cycles, and experimental design, resulting in a 25% improvement in model performance metrics.Led and managed a cross-functional team of data scientists and analysts to deliver high-quality, scalable analytics solutions, successfully implementing AI applications in areas such as customer segmentation, forecasting, and process optimization, driving a 15% reduction in operational costs for key clients.

New York, Ny, Us

Developed and scaled KPMG's advanced M&A analytics platform, operationalizing AI-driven models to automate due diligence, enabling real-time insights that reduced analysis time by 30%.Designed and deployed cost allocation and pricing models in production environments, working with clients to ingest, validate, and transform transaction-level data into income statements, balance sheets, and trial balances, alongside dynamic visualizations of key metrics like DIO, DSO, and DPO.Built and deployed machine learning models to identify actionable patterns in large datasets, optimizing decision-making for financial and operational strategies. Ensured models were robust, scalable, and integrated seamlessly into production pipelines, reducing manual effort by 25%.Collaborated with cross-functional teams to design and implement data-driven solutions that improved profitability for post-acquisition businesses, addressing integration challenges and driving growth through tailored analytics frameworks.

Armonk, New York, Ny, Us

Developed data processing pipelines and ETL workflows to enhance data quality, resulting in more efficient analysis and reporting.Designed A/B testing frameworks to evaluate product enhancements and marketing strategies, ensuring data-driven decision-making processes.Automated reporting dashboards that reduced reporting time by 40%, increasing operational efficiency for key stakeholders.

Armonk, New York, Ny, Us

Collaborated with senior data scientists to streamline data gathering, preparation, and cleansing processes, leveraging SQL for data extraction, Python for data transformation and cleaning, and SPSS Modeler for data exploration and predictive modeling.Conducted exploratory data analysis (EDA) to identify trends and anomalies, using pandas, NumPy, and matplotlib to produce meaningful visualizations and insights that informed model development.Applied machine learning algorithms such as decision trees, logistic regression, and clustering for multiple projects, tailoring techniques to project-specific goals to optimize predictive accuracy.

Blackfriars, London, Gb

Wilmington, Delaware, Us

Master Of Science - Ms, Data Science

Bachelor Of Science In Business Administration, Operations Management And Logistics

High School Diploma