University of Pennsylvania

- Develop and deliver courses based on Generative AI (GenAI) and Large Language Models (LLM 's) to graduate students, faculty, and staff.
- Recommend both new and revised curricula on incorporating other aspects of Artificial Intelligence (AI) to those same groups.
- Provide best practices for learning Artificial Intelligence.

Senior AI Curriculum Advisor 

- Developed curriculum for and teach classes on Artificial Intelligence. 
- Deliver to Graduate School of Education.
- Recruited expert guest lecturer on Generative AI for AI.
- Mentored and consulted students on the use of Artificial Intelligence.

Artificial Intelligence Co-Instructor

The Wharton School

- Provide research direction and mentorship to MBA and undergraduate students.
- Offer peer counseling to fellow graduate students.
- Draft strategy options for review by AI Accountability Institute.

#AI Research Mentor & Peer Advocate

Gartner

Advises clients in strategic challenges with Machine Learning, Artificial Intelligence, and Decision Sciences.  Specializes in areas such as:

- AI Talent/ AI Organization
- Upskilling AI Staff/ AI Literacy
- AI Strategy
- AI Ethics/ Responsible AI
- Measuring AI success
- Maximizing AI profitability
- Model ensembles
- Project management
- Simplifying operations
- Feature engineering
- Data storytelling 
- Working with stakeholders

Director, Data & Analytics/ AI Expert

Analytics-Edge, LLC

•	Created Data Science/ AI curriculum for Cisco Networking Academy: 3.1 million current students, 190 countries, and 6 languages.
•	Developed and delivered the first Data Science curriculum for all of 3M Asia.
•	Created the first Artificial Intelligence course for Harvard Innovation Labs' Experfy spin-off.
•	Provided consulting and training for clients like AARP, Biogen Pharmaceuticals, IBM, Los Angeles Times, Royal Bank of Canada, St. Jude's Children's Research Hospital, T. Rowe Price, and Wells Fargo.

VP- Artificial Intelligence Educator

Booz Allen Hamilton

•	Founded the Strategic Artificial Intelligence Lab (formally Emerging Technologies AI team)
•	Increased VBA Fraud Model Performance by 500% in 8 weeks
•	Lifted sales forecasting model accuracy from 85% to over 91%
•	Raised chatbot satisfaction levels from 27% to over 70%
•	Developed firmwide Introduction to AI training for 10K employees with a 98% approval rate

Lead Artificial Intelligence Solutions Architect

Legg Mason (Acquired by Franklin Templeton)

•	Provided 440% lift in product Cross-Sell performance with breakthrough AI model using champion/ challenger Model Risk Management platform.
•	Slashed Feature Engineering timelines by 80% with CN2 rule induction methodology.
•	Built and tested almost 300 production-ready models using Python, TensorFlow, SageMaker, and various AWS/ pipelines and processes.
•	Designed, authored, and implemented Artificial Intelligence Roadmap for Legg Mason, creating of Strategic Artificial Intelligence Labs.
•	Benchmarked AUM performance, revenue growth, and product performance over 800 separate data elements.
•	Trained over 150 Legg Mason employees on AI methodology across 3 continents.

Lead Data Scientist

Morgan Stanley

•	Designed, created, and implemented a fraud detection model that captured 40% of all fraud within a 2% turndown threshold, outperforming a custom model created by a third-party consulting firm of experts.
•	Developed and executed custom data science training programs for a team of 12 Morgan Stanley employees across two continents.
•	Trained 25 professionals on 2 continents in Machine Learning/ Artificial Intelligence.
•	Implemented custom Python tool to automate Exploratory Data Analysis for all future modeling efforts.
•	Managed a junior executive to become a full Data Scientist in under four months.
•	Wrote and executed Request for Proposal for Anomaly Detection for a $40 billion book of business.

Vice President of Data Science

Various roles 

•	Wide variety of predictive analytics assignments for over 25 clients, including developing almost 100 predictive models for industries such as banking, cellular, healthcare, hospitality, and non-profits.
•	Saved St. Jude Children's Research Hospital approximately 45% on mailing costs using an advanced modeling ensemble approach of an initial filter model, a secondary response model, and a final donation model.
•	Raised Sheraton Hotels’ response rates by more than 50% for destination promotions using advanced analytics to predict direct mail conversion.
•	Built web-based fraud detection models with sub-second decisioning for PayPal, evaluating up to 1 million purchases per day.
•	Created and deployed a unique Customer Analysis Protocol for Alltel Cellular’s marketing division, allowing immediate data mining “triage” for the entire marketing staff. 
•	Chief Data Scientist, Analytics-Edge, 2000 – 2021
•	VP Consumer Lending, Bank of Hawaii, staff of 7, 1997 - 1999
•	VP Credit Cards, CoreStates Bank, $7.8 million budget, staff of 4, 1995 – 1997
•	VP Credit Card Acquisition, Citicorp, Service Excellence Award, 1986 - 1995

Contract Consulting: Vice President of Analytics/ Data Science

81k | Director, Data & Analytics/ AI @ Gartner

#AI pioneer since 1986, currently working with University of Pennsylvania while studying at Harvard GSE. 🥳

Working to make #ArtificialIntelligence friendlier and more ethical!

Provided ROI results for, among others:

- Audi
- Biogen
- Cisco
- Los Angeles Times
- Mercedes
- Morgan Stanley
- Yale University

How may I help YOU??? 🙂

T. Scott Clendaniel

NCS Group

Optimized resource allocation, reducing project overheads by 20%, while maintaining high-quality standards for deliverables.
Implement and oversee data quality standards, ensuring accuracy, consistency, and completeness. Monitor data pipelines & workflows to ensure timely data ingestion, transformation, and delivery for models & insights.
Develop & maintain data quality metrics and KPIs. Collaborate with data teams and stakeholders to identify & rectify data anomalies.
Work closely with Cloud Infra/Ops, Data Engineering & Analytics teams to optimize data processing efficiency.
Monitor data flow integration & automation while fostering collaboration between data, platform and project teams.
Help to accelerate the process of creating data applications & provide real-time data information.
Improve data transparency, allowing for greater team innovation & collaboration, maximizing data quality and reusability. Continuously improve data mgmt. processes & automation to ensure scalability & efficiency.
Streamline data workflows to maximize quality, value, & reduce manual effort. Identify opportunities for process enhancements & implement best practices.
Manages & responsible for OPEX/CAPEX budget for overall Dept.
Work closely with Product & Project Managers to rollout new systems, platforms and initiatives, taking on any new services delivered and ensuring the right support transition model is in place to BAU.
Develop, generate, analyze operational & service performance reports; tailoring and sharing them with a diverse stakeholder group including the IT Senior Leadership Team and our Executive Committee.
Assist the Head of Department in the ownership of all IT OPEX, create queries and dashboards for senior leadership teams.
Utilized continued integration of DataOps principles with Agile, DevOps, ITIL to create a more comprehensive & streamlined approach to data mgmt.
Examine internal IT controls, evaluate & determine exposure to risk, and develop remediation strategies.

Technical Program Manager - Data Platform Management

Reported to the Director and Head of Dept. and maintained strong relation with senior leadership, stakeholders and BAU teams. Manage vendor relations, escalations, service ownership and clients as needed for contracts and licenses which contributed to a 15% increase in internal satisfaction ratings.
Oversaw the deployment of a large-scale warehouse management system, achieving a 50% improvement in inventory accuracy and a 20% increase in shipping efficiency.
Facilitated daily stand-ups, sprint planning, and retrospectives for three Scrum teams, boosting collective output by 25% over a span of four months.
Negotiated and secured partnerships with two enterprise-level clients, directly contributing to a revenue increase of $200k.
Established a continuous feedback loop with product users, which helped prioritize the product backlog and increased customer satisfaction by 30%.
Pioneered a data-driven project decision-making framework that led to a 10% increase in return on investment for key projects across the tech division.
Drove the end-to-end development and release of 3 high-priority mobile application updates, leading to a 60% increase in user retention rates.
Managed a budget exceeding $2M, reallocating funds to critical areas and achieving 90% budget accuracy rate.
Led Scrum teams in delivering high-quality products, improving delivery time by 20%.
Coached teams on Scrum practices, resulting in a 25% improvement in sprint velocity.
Managed project risks and developed contingency plans, enhancing project success rate by 15%.
Implemented continuous improvement initiatives, achieving 95% stakeholder satisfaction rate.
Partnered with Product Owners to deliver MVPs, contributing to a 10% increase in NSV.
Coordinated and facilitated Agile ceremonies, reducing sprint cycle time by 15%.
Led all Scrum-related activities for PODs, resulting in a 30% increase in completion rate.
Spearheaded the planning and execution of Sprints, resulting in a 20% improvement in efficiency.

Technical Project Program Manager (Data Platform Management)

Profusion Systems Inc.

Reported to the CEO & CFO, serving as a liaison across Mobile, Cloud & Infrastructure, and Scrum teams.
Overseeing design and delivery of complex technical projects, implementing Agile processes for scalability.
Collaborating with business partners to identify process improvements, resulting in a 25% reduction in TAT.
Managing cross-functional teams of up to 25 members and help to maintain project plans, budgets, and status reports.
Supervised a team of developers and infrastructure engineers, ensuring high-quality delivery and effective collaboration.
Identified gaps in the team’s structure and began building towards a more comprehensive approach, resulting in a 30% increase in efficiency within 2 months.
Leading end-to-end delivery of multiple complex digital projects resulting in a 20% increase in C-SAT score.
Directed end-to-end project lifecycle, from scoping, planning, executing, to closing, and ensured adherence to project management methodologies and best practices.
Translated client requirements, objectives, and goals into actionable project plans and defined project scope, KPIs, schedule, and budget.
Built and directed a high performing offshore team for India right from scratch resulting in a 30% increase in team productivity. Parallelly worked with Australian and the US teams on day-to-day basis.
Provides strategic direction and takes accountability for requirements, procedures and standards.
Define performance metrics; identify trends, outliers and drivers of outcomes. Develop mitigation strategies for potential problem areas.
Directed the implementation of SaaS solutions for enterprise clients in the financial services industry, resulting in a 23% increase in C-SAT and a 15% reduction in project costs.
Led several implementations (NetSuite, Smartsheet, ERP, etc.) and integration (Power BI, Kentico CMS, etc.) projects effectively.
Facilitated to deliver migration projects within timeline including SSRS to Power BI, Marketo/Twilio to ActiveCampaign, etc.

Technical Project Program Manager

Reported to the COO, serving as a liaison between cross-functional teams including Mobile (iOS/Android), Data Science/ML, Maps/Positioning, and QA/Deployment.
Led a high-performing team of 50+ members in development, data, and deployment domains, collaborating with other departments on a daily basis. Created roadmaps, program plans, and scrum boards.
Led Sprint review and daily Scrum meetings to touch base with the whole team and ensure that all members performed satisfactorily. Partnered with Management, R&D, Product, and Services teams to support decision- making processes.
Took charge of the Operations department, identifying gaps in software development and R&D process flow, leading to the strategies and implementation of a quality control system that improved product accuracy by 15%.
Initiated and supervised cutting-edge projects from inception to delivery, developing structured and automated solutions. Assist with Backlog grooming, User Story development and prioritization.
Successfully led and delivered complex data transformation projects within AWS and Azure cloud environments.
Directed data migration projects involving the seamless transfer of large datasets to cloud platforms.
Demonstrated expertise in program execution related to data initiatives.
Led cross-functional teams to shape, design, and execute data-related projects.
Proficient in change management, ensuring smooth transitions and adoption of new data processes and technologies within organizations.
Developed monthly reports for stakeholders, highlighting performance metrics and KPIs to demonstrate the effectiveness of delivered solutions. Created detailed assessment reports, presenting product efficiency to clients.

Senior Technical Project Manager

Reported to the Head of Engineering and R&D and successfully supervised project deployments and delivered data solutions, contributing to streamlined R&D development process from 1 month to 2 weeks through Agile delivery methodologies.
Set up a calendar and facilitated cadence, agile events, scrum ceremonies and shared measurable outcomes.
Developed milestones and identified project risks, maintaining quality and compliance standards that decreased project backlogs by 20% while monitoring Calibration, Data Capture, and Test Environment processes, and driving continuous improvement efforts for optimal product stability. Improving the workflow by 35%.
Efficiently resolved dependencies and removed roadblocks, resulting in 95% milestone achievement within scheduled timelines.
Applied Machine Learning algorithms, Python and SQL tools in practical settings.
Leveraged STAR and Eisenhower Matrix to prioritize project requirements, resulting in the successful delivery of 5 projects within 3 months, ensuring results were delivered on-time while maintaining an average budget savings of 8-10%. Applied ITIL framework and Service Management effectively throughout the entire service lifecycle.
Utilized cloud-native services and tools for scalable and cost-effective data processing.
Possess a good understanding of Data Warehousing and Business Intelligence concepts.
Leveraged cloud-based Business Intelligence tools like Power BI, Tableau, and DataBricks for data visualization and reporting.
Successfully managed projects dealing with unstructured data sources such as social media data, text documents, and sensor data.
Employed data analytics and performance metrics to analyze project outcomes and make data-driven decisions.
Analyzed data from various sources, including GPS, Wi-Fi, BLE, Magnetics, Adaptive Signal Processing, and Data Fusion. Experienced in writing and refining user stories, ensuring they have clearly defined and testable acceptance criteria.

Technical Project Manager

Mapsted

Reported to the COO and Head of Engineering and R&D, serving as a liaison between cross-functional teams including Mobile (iOS/Android), Data Science/ML, Maps/Positioning, and QA/Deployment.
Successfully supervised project deployments and delivered data solutions, contributing to streamlined R&D development process from 1 month to 2 weeks through Agile delivery methodologies.
Led Sprint review and daily Scrum meetings to touch base with the whole team and ensure that all members performed satisfactorily. Partnered with Management, R&D, Product, and Services teams to support decision- making processes.
Took charge of the Operations department, identifying gaps in software development and R&D process flow, leading to the strategies and implementation of a quality control system that improved product accuracy by 15%.
Monitoring Calibration, Data Capture, and Test Environment processes, and driving continuous improvement efforts for optimal product stability. Improving the workflow by 35%.
Applied Machine Learning algorithms, Python, SQL, and data visualization tools in practical settings.
Assigned tasks, prepared technical documentation, and conducted statistical and quantitative analysis, leveraging hands-on experience with NumPy, Pandas, Matplotlib, and Seaborn for data visualization.
Analyzed data from various sources, including GPS, Wi-Fi, BLE, Magnetics, Adaptive Signal Processing, and Data Fusion. Experienced in writing and refining user stories, ensuring they have clearly defined and testable acceptance criteria.

Engineering Project Manager

SodaInMind

Acted as a liaison between Business Stakeholders, IT application groups, and C-level Executives, ensuring effective communication and alignment of objectives.
Demonstrated leadership skills by leading and mentoring a team of 20 members.
Played a vital role in information dissemination between business branches, stakeholders, and clients.
Developed comprehensive project plans, including scope, WBS, resource planning, and budget, while monitoring workflow and making necessary timeline adjustments.
Possessed a strong understanding of CRM systems (HubSpot & Agile), data transformation, and marketing tools.
Proactively set, adjusted, and tracked project status and milestones, efficiently managing unforeseen delays and realigning schedules as needed. Produced comprehensive reports on application development and implementation.
Hosted daily stand-up and scrum meetings, working with both Waterfall and Agile methodologies.
Skillfully removed roadblocks and collaborated with stakeholders to redistribute workloads using scrum practices.
Analyzed, automated, and managed project risks, resulting in a 25% increase in team productivity through cross-functional collaboration.
Implemented project management best practices, resulting in a 15% reduction in project delays and ensuring efficient project delivery.
Well-versed in utilizing JIRA, CRM, CMS, HRMS, MS Excel, Trello, and other PM tools.
Delivered a total of 17 projects within a span of 2.5 years, achieving on-time phase deliveries and maintaining an average budget savings of 15%.
Clients (in-house): Soda in Mind, RHAD Agency, Metro Group Solutions (SaaS), Carbonate Application (HRMS), Flavor School (CRM / EDM).
Clients worked for (External): Pepperstone, Vault-Intel (acquired by Damstra), Jardine Cycle & Carriage Ltd. (JCCL), Maxus Cars Singapore, Pizza Hut SG, Marine & Offshore, Tadrees Community Application, Property Guru Singapore, Madison Academy of Music, Zylkene Pet, Little Honey Singapore.

IT Project Manager

Decimal Point Analytics

Clearly identify infrastructure goals and project deliverables, ensuring a comprehensive understanding of project objectives.
Lead Project Cost Estimation and Ongoing Budget Tracking: Provides budget information to Project Managers. Assists in developing costs estimates and analyzing data.
Define all necessary activities to successfully achieve project goals and objectives.
Identify and assemble the required team members for the project.
Document and record project plans concisely and clearly.
Identify and assess key risks and limitations within the project plan.
Evaluate and analyze variations between planned and actual project performance.
Oversee project execution to ensure adherence to relevant quality standards.
Collect and present performance information related to infrastructure projects.
Identify potential compliance and regulatory concerns associated with project initiatives.
Assess potential impact on stakeholders, including associates, clients, and shareholders.
Collaborate with subject matter experts throughout the organization to gather comprehensive business requirements necessary to achieve project goals.
Manage changes throughout the project, including schedule, scope, and team membership.
Prepare cost estimates of IT infrastructure.
Foster effective collaboration with infrastructure teams across various business units and management levels.
Identify the root causes of conflicts or disagreements and provide recommendations for resolution.
Capture, prioritize, and resolve project problems in an organized manner.
Accountable to the Project Director and/or key stake holders for the delivery of project.
Proactively manage issues and mitigate risks to enable projects to stay on time, within budget, and with expected scope.
Plan and schedule user’s deployment across India region.
Promoted to IT Infrastructure Lead and managed a team of 7 resources across Mumbai and Nashik division.

Information Technology Infrastructure Team Lead

Possess extensive knowledge of essential network services, including DNS, NFS, LDAP/Kerberos, Apache, NTP, sendmail/postfix/etc., and OpenSSH.
Proficient in building architectures and protocols using 802.3, 802.11, TCP/IP, and UDP.
Demonstrate a deep understanding of GNU/Linux and Windows operating systems.
Skilled in scripting with Perl and/or Python.
Provide guidance on Linux platform architecture and conduct technical research to resolve complex issues.
Serve as a Linux subject matter expert, offering technical leadership across all IT disciplines.
Perform systems administration, maintenance, and engineering in multiple large enterprise server environments, specializing in Linux, Red Hat, and CentOS.
Maintain Linux-based servers, including backup and log file management.
Manage Linux systems, implementing load balancing and failover strategies.
Work in accordance with ITIL principles and adhere to SLAs (Service Level Agreements).

Linux Engineer

WNS Global Services

Promoted to Senior Associate (Data Analyst) for a US client, recognized for exceptional proficiency and expertise in data analysis. Led a team of 7 members to establish the NT24 Business unit in the healthcare domain, resulting in a remarkable 25-28% revenue increase.
Demonstrated effective leadership and project management skills through collaborative efforts across multiple teams, including engineering, internal clients, and vendors.
Assisted the Manager in various report generation, data cleaning, and maintenance of reports and MIS, showcasing meticulous attention to detail and accuracy. Possessed expertise in handling Master files and sensitive data, ensuring data security and confidentiality. Achieved a reduction of 20% in save/load time and 15% operation time.
Chaired virtual meetings essential for delivering projects from concept to reality, following the DMAIC improvement model. Developed and maintained a detailed project schedule for software deliverables.
Proficient in extracting data from databases and transferring it to Excel files, demonstrating advanced data manipulation and data extraction skills. Developed Macros in Excel to automate repetitive tasks, significantly improving efficiency and productivity.
Played a pivotal role in inventory management and data distribution for projects in New York (NY) and New Jersey (NJ), highlighting exceptional organizational skills and a keen understanding of project requirements.

Data Analyst

My designation was Associate (Data Assistant) to help the TL in extracting data from Database to Excel file.
Built Macros for Automation in Excel.
Helped to maintain the Inventory and data distribution for NY and NJ projects.

Data Assistant

Professional Freelancer at Upwork

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T. Scott Clendaniel

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