Nicholas Morris Email & Phone Number

Charlotte, Nc, Us

Charlotte, Nc, Us

Charlotte, North Carolina, Us

Analyzes extensive customer datasets to extract valuable insights and trends using advanced data analytics techniques and tools, while developing, implementing, and fine-tuning predictive models and machine learning algorithms for optimizing field staffing and call resolution.Developed web application in Python to allow end users to efficiently staff field workers and cut excess costs and visualize forecasts for outages and expected costs.Developed classification model to predict customer callbacks to call center, including NLP topic modeling to identify important keywords and phrases that drive customer behavior.Effectively communicates findings and insights through comprehensive reports, compelling data visualizations, and engaging presentations - including presenting at the Artificial Intelligence Community of Practice

Menomonee Falls, Wisconsin, Us

Implementation of a Python/Pyspark combinations algorithm for "Frequently Bought Together" recommendations, yielding a 0.68% surge in annual revenue and streamlining the runtime from 1 hour to 15 minutes.Conducted comprehensive data analysis, leveraging advanced statistical methods and machine learning techniques to extract actionable insights regarding customer preferences, demand patterns and pricing strategies.Engaged in optimizing pricing strategies by identifying and addressing root causes behind unexpected model errors, entailing the strategic integration of an inflation factor into the Mixed Effects Linear Model, reducing the MAPE from 40% to under 30%.Built predictive models utilizing Python, employing time series analysis and regression and to forecast demand, sales, and profitability, contributing to data-driven decision-making processes.Implemented rigorous pricing experiments and A/B tests to validate hypotheses, measure pricing elasticity, and fine-tune pricing strategies, resulting in improved revenue and profit margins.Collaborated with cross-functional teams, including merchandising, marketing, and finance, to define pricing objectives and align strategies with overall business goals, fostering a collaborative and results-driven environment.Created and maintained interactive reports and dashboards using data visualization tools, enabling stakeholders to track pricing performance, monitor Key Performance Indicators (KPIs), and make informed business decisions.

Charlotte, North Carolina, Us

Leadership of 5-person intern teamDesigned data collection and analysis frameworkGame data analysis - linear regression model showed that team objectives needed to be changed, as previous metrics tracked did not lead toward more points scored; additionally showed how team was defensively giving up points in specific situations

Mooresville, Nc, Us

Conducted in-depth analysis of vast datasets, uncovering valuable trends, patterns, and user behaviors related to search queries, which informed data-driven decision-making and strategy development.Utilized clustering techniques to discern distinct geographic regions within the United States, analyzing variations in search volume and clickthrough behavior, incorporating findings into the search results ranking algorithm.Conducted comprehensive analysis to identify emerging factors for search result ranking, employing Random Forest, quantifying the impact of diverse variables, including product shipping times, user engagement with content, and product ratings and reviews. Provided actionable insights and data-driven recommendations to cross-functional teams, including product managers, engineers, and UX designers, facilitating informed decisions and continuous enhancements to search capabilities.Managed an analytics team, overseeing efforts in performing detailed, data-driven analyses. These analyses were instrumental in extracting valuable insights, leading to the development of new search functionalities and the continuous improvement of existing search features.Maintained up-to-date knowledge of the latest developments in search science and machine learning, applying emerging techniques and technologies to drive innovation and maintain a competitive edge.

Mooresville, Nc, Us

Engineered a predictive linear regression model, leveraging site speed metrics, to forecast add-to-cart rates, discovering root cause of declining conversion and revenue was the platform's site speed. Implemented strategic enhancements to significantly boost site speed and user experience.Orchestrated the design and implementation of comprehensive reporting mechanisms for the novel Bundling/Collections feature, incorporating A/B testing methodologies. Achieved an impressive 14% increase in Revenue per Visitor (RPV) for Collections-related products spanning Patio, Appliances, Tools, and other categories.Constructed a robust logistic regression model to pinpoint the most influential customer behaviors and features contributing to cart additions, leading to a proactive approach, augmenting image collection and enhancing the presentation of ratings and reviews on Product Detail Pages.Spearheaded the measurement and analysis of A/B tests across Lowes.com, meticulously uncovering incremental lifts resulting from the introduction of new features. Furthermore, identified key priority categories for the implementation of cutting-edge 3D imaging technologies to enhance user engagement and satisfaction.

Fort Lauderdale, Fl, Us

Contracted with Bank of America - Global Risk AnalyticsBuilt Random Forest model to predict company risk ratings - used by Risk Rating team to assess upcoming credit risk and identify key contributing factors to lower ratings. Incorporated risk rating regression algorithm to give prediction for early risk identificationBuilt anomaly detection in Python to identify incorrect financial statement information using K-Means clusteringBuilt Tableau dashboard to analyze financial ratio trends, used by 20+ partners to predict upcoming risk of corporationsAutomated data quality report in Python to ensure integrity of datasets used in Tableau dashboard

Mooresville, Nc, Us

Mooresville, Nc, Us

New York, New York, Us

Contracted with Lowes.com - analysis of internal search data and customer behavior to optimize eCommerce business and user experienceExperience in Adobe Site Catalyst, Adobe Ad Hoc Analysis, Oracle Workbench (Endeca)Administration of crowd-sourced search keyword testing

Bachelor’S Degree, Mathematics

Master Of Science - Ms, Data Science And Business Analytics