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

Motorola Mobility (a Lenovo Company)

Deriving Dollars from Data by designing, developing and deploying machine learning algorithms focused on CRM and Marketing

Data Science Manager

As a lead data scientist partnered with functional teams for enhancing business using Data Science & RPA. Led a team of 3 data scientists in the Advanced Analytics Team.

Improving Product Mix: Analyzed millions of customer orders to find out similarity of product configurations and enabling the design of new “Build-To-Order” products resulting in margin gain of $1 million for Indian Market. Enabled the scaling of the algorithm for WW markets.

Predicting Deal Consumption: Predictive Model to estimate the proportion of consumption related to a deal with >80% accuracy to aid the discount offering process. Simplified the use of model results for the end-user with an API integrated to MS Excel.

Price Range Recommendation: Analyzed thousands of historical selling price points of different products to arrive at a suitable price range for each product using Monte-Carlo Simulation thereby easing the price negotiation task for sales team. Intangible benefits comprised of reduction in TAT and >30% reduction in Level-2 Approvals.

Improving Customer Catalog: Analyzed the purchase patterns of key accounts through customized catalog and the open market route and using Association Rule Mining, identified the various products that needs to be included/offered through the catalog.

Deal Win Probability: Developed a Predictive Model with >75% accuracy to estimate the probability of winning a deal thereby helping the sales team in pursuing the deal

Lead Data Scientist - Advanced Analytics

• Successful implementation of RPA in more than 15 processes with ~25 head-count reduction and savings in man-days.
• Identified & evaluated more than 100 processes across different functions in the organization (Finance, Sales Ops, HR) for suitability of automation based on complexity, dependency, stability etc.
• Process Mapping and Documentation at Click-Level with all possible What-If Scenarios thereby easing the Technical Solution Architecture and Bot Configuration Process
• Collaborated with TSA/Developer and the business team in organizing and evaluating test cases.

Business Analyst - Robotics Process Automation (RPA)

Juniper Networks

Supported the Marketing Vertical of Juniper Networks by developing Statistical Models enabling marketing decisions and enhance sales. Developed predictive models to identify prospective purchasers of technology products, customer segmentation and an interactive analytical solution for Cross-Selling technology products.

Data Scientist

Hewlett-Packard

As a key member of the "Advanced Analytics"​ team, developed predictive and forecasting models for Sales Compensation Program resulting in optimizing the quota set for sales reps. Further improvement in the accuracy (~94%) of predictive model using Support Vector Machines (SVM)
Co-developed two new machine learning algorithms based on the Gaussian distribution to detect erroneous payments in the invoice processing units of HP with an initial recovery of US$1Million and a further potential of recovery up to US$5Million.
Involved in developing a decision tree based model to predict the probability of winning a deal. 
As a key member of the newly formed "Data Labs" team, responsible for developing different statistical/analytical models supporting Healthcare, Manufacturing and Telecom verticals.

Bank of America

Handling Analytics and Business Intelligence projects related to various financial sectors like Payment Processing, Home Loans, Small Business etc by applying basic and advanced statistical methods to churn out information for decision making

Manager

Unisys

Driving Global Customer Satisfaction programme under the Project Quality Office/Project Management Office.
Churning information from csat data/feedback using statistical techniques.
Publishing metric dashboards.

Programme Manager

Wipro

Working in the Corporate Quality Division as a senior executive, was instrumental in some of the key projects resulting in big business benefits for the organization:
- Developed a predictive model for a popular consumer care product which resulted in zero rejections and an annual savings of more than Rs.1 Crore
- Provided statistical analysis and inputs for the HR functions in development of SLAs for hiring cycle time based on skill-sets resulting in timely hiring of candidates and paved way for creating a taxonomy of skill sets
- Identified the problematic steps of recruitment hiring and initiated SLAs for each step in the process thereby reducing the hiring cycle time and also reducing the offer letter rejections by candidates
-Developed a predictive model based on survival analysis to predict the length of stay of an employee in the organization
-Developed a predictive model for a lighting product to estimate the warranty that can be offered

Senior Executive

Gallup

Data Analyst

IMRB International

Asst Executive - Field Ops

Statistician | Data Science Manager | ASQ CSSBB

Data Scientist and a Certified Six Sigma Black Belt (ASQ) with 15+ years of experience in applying statistical techniques for solving business problems across industry verticals. Rich experience in applying six sigma methodology and quality improvement. Focus on new developments in analytics and data mining. Development and Implementation of data mining and machine learning techniques/algorithms in different domains. Hands-on experience in the use of R and KNIME.

Specialties: Statistics, Data Science, Quality, Analytics, Six Sigma

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T. Scott Clendaniel

Thejasvi TV

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