Conducting/Teaching Data Science & Machine Learning boot camps online (due to the Pandemic) at various levels - Advanced, Intermediate as well as Statistical Literacy for Schools. The Capstone projects from the boot camps are being published in researchgate.net and other Covid-19 related advocacy groups for public good and are periodically accessed by Public Health officials, FEMA, US Senate, Hospitals etc..... I am also available to facilitate international boot camps on Data Science Volunteer Data Scientist for National Scientist Volunteer Database (NSVD) for combating Covid-19. https://covid19sci.org/ and www.endcoronavirus.org

I am contributing to Johnson and Johnson’s Innovative Medicine as a Data Scientist for Behavior Change Intelligence

Adjunct Professor of Machine Learning & Data Science teaching graduate students in the Master's of Applied Business Analytics program at William Paterson University - Cotsakos School of Business• Machine Learning, Gen AI, Predictive Modeling, SAS, R, SPSS, Python, SQL and Tableau Public• Business Economics, Applied Statistics, Population Studies and Data ScienceData Science/ Data Literacy Faculty for WPU Saturday Youth University since 2020Mentor on IT/Data Science at Pesce Family Mentoring Institute - William Paterson University.The Institute was created to help prepare students for their careers or graduate education by connecting successful professionals, including alumni and local community business partners, with select William Paterson University undergraduate students.

. Develop Health Scores based on Biometrics and Biomarker Studies for 65+ USA population· Conduct predictive and prescriptive analytics in 5 therapeutic areas to support Physician’s insights

As a thought leader, Identify health outcomes based on AI/ML Predictive Modeling for medication therapy, as well as NLP - Natural Language Processing using SAS Enterprise Miner and Python programs.Responsibilities include∗ Collaboration with business units & SMEs on health care use cases∗ Deployment of model prototypes with Production & IT groups Coaching and mentoring on Data Science and Inter-disciplinary subjects

Responsible for Digital Supply Chain Analytics and Predictive/Prescriptive/Cognitive Modeling for the Infosys Center of Excellence, as well as developing Time-series Demand Forecasting for US logistics and Utility industries• Extensively using Python, R and Microsoft Power BI for data visualization and time-series forecasting

American Housing Survey Statistics for policy making using public informatics until Nov, 2019. Getting ready for the 2020 census

Responsible for Medicare/ Medicaid Data Analytics and Predictive Modeling, including text and speech analytics for Customer Service optimization.

I was invited to conducted a workshop on Data Science/ML/AI at the Research Conclave organized by IIT, which is a premier educational institution in India.

Responsible for leading specific longer-term analytics projects, such as building Revenue/Churn Models, Propensity Models, and VES customer micro-segmentation, and for managing request presented to the team for Advanced Analytic and Predictive Modeling, including Data Mining.. Work with the functional lead and the requested group to design the analytic solutions, communicate the approach, and deliver the results. Collaborate with strategic data integrator and statistical modeling team to ensure a quality deliverable is produced that best supports the specific business strategy. Develop the modeling approach, help requesters/stakeholders understand implications, limitations, build models, ensure that other participating statistical modelers understand the request and keep the project on track, while managing expectations

Perform ongoing and adhoc analysis on Gain Capital’s all customer life-cycle metrics • Lead statistical modeling projects like customer segmentation, propensity modeling etc. as well as customer lifetime. • Conceptualize, build and maintain scoring models, metrics and tools to aid sales organization in growing their portfolio’ • Support the finance team with business & operating metrics as required to complement financial reporting • Be the commercial team stakeholder in the development of Gain’s enterprise data capabilities, including data requirements and definitions, etc. and develop relationships with other key stakeholders in the organization who support the enablement of their overall analytical capabilities, particularly in data services and technology

Big Data Analytics for eCommerce Fraud, Medical Statistics, Local Government and the Hospitality (Airline & Hotel) Industries for policy and business decision making.

Develop Demographic Pattern Analysis, Data Visualization and Demographic Churn Correlation Model for Marketing Analytics and IT/Finance at Verizon Wireless portfolio.

Developed Pattern Analysis, Segmentation/Cluster analysis, Data Visualization and Econometric Regression Model for Forensic (Fraud) auditing in the Accounting industry for KPMG Global portfolio.

• Involved in predictive modeling, digital and business analytics, customer insights and database marketing, including Promotion Response Modeling.• Responsible for the development, monitoring and analysis of highly targeted cross concept and multi-channel digital marketing (email, mobile, and social media).• Working closely with Marketing to determine the optimal target group (customers, prospects), products and offers based on overall sales promotion/campaign strategy.- Developed Key Performance Indicators (KPIs) and Sales Metrics for various sales channels. Have understanding of Retail industry Supply Chain Management.

Supported the Field Information Department through in-depth analysis, knowledge, advice and recommendations in sales force information through developing and implementing world class processes and strategies. This included, the development and analysis of market segments, customer profiling, Physician Targeting, Data Mining, Promotional Response Modeling using SAS, ad-hoc reporting and business analysis with IMS Health, WK and other vendor data.

Served as Senior Statistician for the Customer Analytics and Support team, ensuring the use of appropriate and efficient methods of statistical analysis to support the marketing efforts for the Oncology, Women’s Healthcare and Specialized Therapeutics business units.

Responsible for translating brand marketing strategy to quarterly customer (physician) level target lists. Created customer ranks and quintiles based on statistical analysis of historical Rx data for the Diabetes, Allergy and Dermatology markets. Developed recommendations on optimal sales force effort and resource allocation. Effectively managed cross functional teams.

Responsible for focused statistical research and data analysis on Phase III and IV Clinical Trials Data in various therapeutic areas: Rheumatology, Dermatology and Gastroenterology in support of Global Pharmaceutical Business/ Marketing and Health Economics. Developed disease related predictive models utilizing SAS 9.1 & SAS Enterprise Miner software for drug label change and marketing in Europe.

Created Marketing Leverage by developing Marketing Models, Segmentation Models for Lead List Generation for the outbound telemarketing channel of long distance and local serviceUsed SAS Enterprise Miner software. Improved customer response rate by 9%Developed time-series revenue forecasting model for the Local Services portfolio. Conducted competitive market analysis and customer research on pricing and quality for small business customers. Applied data mining techniques to develop customer profiles and target sales opportunities. Analyzed and managed quarterly Customer Value Added (CVA) Market Research projects.Tracked, statistical modeled and analyzed performance from 1999 to 2004. Identified Management Information Systems business requirements for the Local Exchange Carrier Post Restrict Usage and collections portfolio analysis projects. Performed extensive statistical data analysis using SAS to support credit policy and strategy for Risk Based Bill Selection and for the credit fraud processes. Developed Customer Profitability and Accounts Receivables models for the long distance portfolios for assessing consumer credit worthiness. Performed quantitative and qualitative (primary and secondary) market research, including Advertising Tracking studies and Focus groups in Telecommunications market.