• Product Manager driving data enhanced decisions for the free-to-play, live-service, Battlefield Mobile game at the Industrial Toys studio.• Drove reprioritization of studio features by applying machine learning to millions of game telemetry data to boost retention.• Owned player lifecycle management and A/B testing through LeanPlum platform resulting in uplift in engagement of 20%.• Spearheaded player survey automation by leveraging natural language processing accelerating time to insight by 80%.• Managed summer intern through machine learning matchmaking project resulting in proposal to senior management.

• Conducted competitive strategic analysis to uncover market trends and opportunities in player re-engagement, resulting in best practice recommendations to take advantage of competitor blind spots and gaps.• Earned Pioneering award nomination for proof of concept work on applying machine learning, NLP topic modeling, PCA segmentation, and text summarization to understand user segments and boost retention• Worked as an intern team leader over 5 diverse team members for branding resulting in a successful event with over 150 interns and recognition as an official EA LinkedIn announcement.

• AI Business Value Expert: Coached executives to identify and leverage AI-driven opportunities, enhancing strategic decision-making and operational efficiency in various industries.• Technical Skills Mentor: Equipped leaders with practical knowledge to navigate AI implementation, avoiding common pitfalls and optimizing human-machine interactions.• Ethical AI Advocate: Facilitated discussions & developed frameworks on responsible AI adoption, emphasizing the importance of ethical considerations in AI strategy development and deployment.

• Managed a team of Learning Facilitators and created a strong team culture and collaborative environment with diverse employees from different departments to deliver high-quality courses resulting in the highest student satisfaction scores ever for the program. • Collaborated with the design team to identify, understand and resolve concerns related to course materials and assignments, resulting in a 10% increase in overall course score. • Developed and delivered over 10 hours of instruction to over 60 students across the globe per 8-week term, leading to high student satisfaction ratings and a 90% course completion rate. • Course topics included data pipelining, building an AI-centric organization, regression, reinforcement learning, and neural networks.

LMNT Strategy is a team that combines data-driven technology (analytics, machine learning, artificial intelligence) with human ingenuity to enhance decision making by transforming data into insight and automating the tasks that have a high mental load and low value. • Influenced C-suite, VP level, Directors and Managers of clients to enhance existing work processes with analytics, automation, and data science yielding cost reductions of 60%. Improving task transparency and communication reducing time to completion by 30%. • Communicated and translated outcomes from complex algorithms in a manner that empowered clients to relay the improvements to their stakeholders and sponsors.• Delivered both quantitative and qualitative business analytics insights to clients by selecting and implementing tools to digitize work processes vastly reducing time by over 50%.• Collaborated across multi-disciplinary teams (IT, Finance, Fundraising, Sales, Consumer Research) to build analytic capabilities within client organizations.• Developed and built analytical solutions/systems to improve business approaches. • Developed data visualizations after mining and cross validating multiple sources of data across numerous time periods that communicated business insights to improve decision making. Visualizations were reported in tools like Tableau, Power BI, and Google DataStudio

Unify and provide leadership and direction to internal staff, partners, cross-function and cross-departmental team members, and organization. Functioned as a Subject Matter Expert and Liaison organization-wide, mentoring and supervising 13 Engineers and Inspectors. Strategically define analysis methodologies and provide analytical support by analyzing existing systems and making appropriate recommendations. Effectively reduce manual processes, increasing automatic process implementations which maximizes business efficiencies.• Inspired, managed, coached, and developed a team of 13 engineers, specialists, and inspectors across 6 different business lines into one of the highest performing and highest morale teams at the site. Recruited, evaluated, promoted, and hired engineers and inspectors. Team collaboratively instrumented, automated and optimized manufacturing processes resulting in revenue uplift of over $40 million annually• As Global Digital Transformation lead, collaborated with multi-functional global teams to improve data science and analytical programs resulting in delivery of deep business analytics insights, hypothesis testing, paradigm shifts and $10+ million annually in improvement opportunities• Coordinated multinational machine learning initiatives as global digitalization program lead.• Initiated and facilitated multinational data science program managing teams across the US and Netherlands to use NLP to interpret and classify safety incident data source reports uncovering paradigm shifting insights in perceived vs. actual performance resulting in accolades and immediate escalation of initiative by CEO.PBF Energy Acquired the Shell Martinez Manufacturing complex in 2020

Global Digital Transformation LeadDirected and led a team of engineers, data analysts/scientist, and SME’s by delegating projects, assessing statuses and progression, and management of employee training and development. Effectively supported system upgrades, reviewing release notes and assessed impacts, assisting team members in implementations and workload balance.Forged Shell’s manufacturing machine learning initiative (developed in R and Spotfire) earning team Shell Global AI (Artificial Intelligence) award nomination for predictive maintenance platform valued at $4 million annual for a single facility with tremendous growth potential.Directed multinational, cross-disciplinary team of data engineers, data scientists, and subject matter experts from Chennai, London, and Houston. Utilized Agile to rapidly problem solve and develop predictive anomaly detection product.Initiated and co-led the site's first innovation workshop based on Ideo’s design thinking methodology. Distilled concepts from diverse cross sections of the workforce for funding and development. Developed multi-year innovation roadmap and visualization of milestones.Chartered and led the team to close the gap between quality assurance analysis and automation data analytics leading to greater utilization of real time sensor technology (Power BI visualization of Oracle SQL database).Orchestrated design thinking workshops, championed, and presented business cases to global decision review boards for funding and resources ranging from proof of concept to pilot phase. Reduced noncompliance risk by deploying digital twins to monitor sensors under government regulation valued at $50 million.Developed and deployed PCA (principal component analysis) analytics and visualization of site safety culture survey uncovering bias in workforce sentiment resulting in refreshed culture strategy.

Functioned as a multifaceted Staff Engineer utilizing thorough research, demonstrations, and presentations, offered data related to overcoming obstacles associated with a newly designed environmental emissions reduction strategy. Presented findings at the national American Fuel and Petrochemical Manufacturers (AFPM) Summit. Performed extensive research and data analysis in preparation for the presentation of Root Cause Analysis at the Shell General Managers Conference and Regional Manufacturing Safety Summit, in collaboration with the EPA.

As an Associate Engineer in Automation & Optimization functioned as the business technical expert in software updating, enhancements, and safety solution integration. Utilizing extensive investigative analysis and data research skills, performed complex data analysis, and highlighted in-depth interpretation as well as root cause analysis.

Drove process and operational support as a Graduate Engineer & Technical Lead, directing numerous projects. Led a successful reactor upgrade project, which resulted in site variable cost reduction. Through exceptional leadership, negotiation, and collaboration skills initiative a proactive critical equipment monitoring program, which earned recognition as a global best practice by the Shell Head Office.

Revant Optics is a direct to consumer sunglass lens replacement company offering sustainable and high-quality products that extend the longevity of sunglasses and reduce waste.• In a project consultant role for this small business, built analytical capabilities, deployed consumer research initiative involving customer segmentation/targeting scoring to optimize business development efforts. Utilized R, D3.js and Python for data analysis and visualization• Partnered effectively with Product Manager, mining multiple data sources, cross-validating data, visualizing analyses, and proactively identifying features and price points for next-generation products.

Assisted Dr. Miao Yu in the development of growing carbon nanotubes on zeolite substrates to produce molecular sieves to separate hydrocarbon compounds.

Interned in the Dry Plasma Etch department working on NAND Flash optimizations for the iPod Nano.