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

Technology Delivery Lead 

Social Saturday Squad

Member

Diageo

• Mentored interdependent teams that collaborate across functional and operating groups to create the highest value for all stakeholders
• Implemented continuous productivity initiatives and articulated cost reduction solutions by 50% for multiple migration projects using Azure platform of budget 800K GBP
• Supported vendor management and strategic sourcing process, managing RFP, and RFQ activities for New Product development more than 560K GBP, and partnering with in-source vendor(s) to ensure efficient and effective project delivery
• Monitored and controlled project deliverables also made recommendations with adjustments to the overall project plan to achieve deliverables
• Analysed and established data pipeline in Azure environment also collected data points across UK Consumer projects value of 250K GBP
• Executed project requirements in governance frameworks focused on risk appetite, regulatory and compliance standards

Portfolio Project Manager (Analytics & Insights)

Luxoft

• Supported change control activities and coordinates change control procedures to facilitate compliance with standards and best practices, monitoring project risk for potential change
• Organised and prepared a simple and detailed User Manual for the application, for intended user using MS Visio, Reviews and edit requirements, specification and business processes related to proposed business solution
• Created customer data, resulting in outputs such as, how and when products and features are being used and customer journey mapping

Senior Analyst Project Lead

Eka Software Solutions

Provided the weekly and monthly status information of AWS Cloud environment with respect to Cost Management to senior management stakeholders
Developed the real time recommendation engine to predict sales leads for prospective customers 
Organized, extrapolated and disseminated data across cross functional teams to be used for drawing conclusions about the success of current methods
Established and maintained long-range plans for quality assurance using Hypothesis testing and regression analysis to calculate the SaaS cost performance and provided the information 
Performed analytics on non-relational dataset to identify root causes, patterns, trends and recommend models 
Provided metrics information by working in an Operations environment also drive continuous improvements that have resulted in measurable business impact
Oversaw analysis and functional specifications of “as-is” and “to-be” business models, executing complex operational, financial and statistical analysis in context of supply chain projects

Program Manager (Ags & Metals - PMO)

Honeywell

Reduced third-party reporting costs by $100K+ per year with machine learning models eventually helps business stakeholders for decision making process
Developed and analyzed the financial algorithm using R studio which automates financial forecasting (bi linear, multi linear regression models)
Developed data model to transform the raw data in the system using ETL framework which helps to build and configure the system
Contributed to the implementation team to perform Bots system which helped decrease programmatic information wait time by 11.2% using business intelligence tool kit 
Worked independently and in a team to research innovative solutions to challenging business problems
Prepared Portfolio Dashboard with respect to cost management which will help ISC leaders and senior management to drive the decisions
Presented detailed reports about the meaning of gathered data to members of management and help them identify scenarios utilizing modifications in the data
Performed exploratory data analysis, generate and test working hypotheses and trends and relationships
Research and designed metrics to measure search performance, providing insights to guide improvement
Provided input to the Data and Analytics governance setup and associated processes to support ongoing data and analytics needs across the movement

Program Planning Data Control Analyst 

Capgemini

Collaborated with cross-functional team members to come up with actionable, high-impact insights across product lines and functions
Leveraged analytical tools to develop efficient system operations
Demonstrated advanced technical expertise responsible for exploring and analyzing data across the enterprise and presents information and key insights that support the organization's growth and sustain strategies
Analyzed data from CA Clarity Tool, Postgre SQL and deduced meaningful insights for some of the E10 Asian Markets Banking clients in the world
Reported bi-monthly data analysis findings to senior management to use in making organizational decisions 
Managed to drive projects efficiently in a cross-functional environment by establishing respect and confidence in the business and technical communities

Associate Consultant

Glenwood Systems

Developed software code and implemented process automation for Electronic medical Record Systems 
Lead process automation projects and performed manual testing reports to the cross functional teams on time
Facilitated and translated the technical requirements between business groups and software development team
Extracted multiple data from different tables and schema using DDL and DML techniques also provided different stored procedures techniques as per the Business need and customer requirements
Actively involved with cross-functional technical teams to structure problems, identify appropriate data sources, extract data and developed statistical model to the senior management stakeholders
Worked closely with the business and technology leaders and managers to understand the organization’s data structures and content

Process Engineer & SQL Developer

With over 15 years of experience in the IT industry, I am a passionate and results-oriented technology delivery lead at TD, one of the largest banks in Canada. I have a strong background in data analytics, business science, and program management, and I hold several credentials, including PMP®, Lean Six Sigma Green Belt, and Senior Big Data Analyst.

In my current role, I mentor interdependent teams that collaborate across functional and operating groups to create the highest value for all stakeholders. In my previous organization, implemented continuous productivity initiatives and articulate cost reduction solutions by 50% for multiple migration projects using Azure platform. I also supported vendor management and strategic sourcing process, managing RFP and RFQ activities for new product development, and partnering with in-source vendor(s) to ensure efficient and effective project delivery. I leverage my skills in R, Python, and ML to analyze and provide key performance indicators and develop metrics, service level agreements, and track delivery against program objectives.

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T. Scott Clendaniel

Mahesh Gurumoorthi

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