CHIEF DATA SCIENTIST and
BOARD MEMBER
(Applied Machine Learning, Data Engineering, & Cloud)
SUMMARY:
Jothi Periasamy is a chief architect and subject matter expert of applied artificial intelligence and data with proven expertise and hands-on skills in machine learning, intelligent automation, data science, data engineering, digital transformation, multi-cloud, and business process automation, training, and talent creation. Jothi has twenty-plus (20+) years of management consulting experience in leadership, management, design, delivery, program, and project execution with KPMG, E&Y, and Deloitte. Jothi engaged with the University of California, MIT Sloan School of Management, on several innovative educational projects on artificial intelligence, data science, machine learning, data engineering, and cloud computing. Jothi engaged with fifty (50+) client projects across various industries, including health, oil & gas, energy, retail, and public services.
EMPLOYMENT:
Jothi has worked for several prestigious organizations, played many vital roles, delivered complex industry, research, and innovative projects, and worked with local and international clients. Here is a summary of organizations Jothi has worked for since 1999
| Organization | Location | Role/Job Title | Start Date | End Date |
|---|---|---|---|---|
| University of California | Davis, CA | Board Member | 03/01/2021 | Present |
| DeepSphere.AI, Inc. | Palo Alto, CA | Co-Founder | 09/01/2018 | Present |
| Massachusetts Institute of Technology-CSAIL | Boston, MA | Instructor | 11/01/2017 | 12/31/2018 |
| Experfy, Inc. (Harvard Innovation Lab) | Boston, MA | Chief Data Scientist | 4/1/2014 | 11/01/2020 |
| KPMG | San Francisco, CA | Director | 1/5/2011 | 3/30/2014 |
| EY | San Francisco, CA | Senior Manager | 5/30/2008 | 12/31/2011 |
| Blue Shield | San Francisco, CA | Senior Manager | 4/1/2005 | 4/1/2008 |
| Deloitte | Sacramento, CA | Manager | 1/2/1999 | 3/1/2005 |
EDUCATION:
Jothi holds a master's degree in applied mathematics from Anna University, India, and a master's level certificate in strategy and management from Stanford University, USA.
| University/Institution | Location | Master’s/Bachelor’s | Field of Study | Year |
|---|---|---|---|---|
| Brown University | Providence, RI | Master of Business Administration | Global Strategy | FEB 2023 |
| Stanford University | Palo Alto, CA | Master’s Certificate | Strategy | SEP 2004 |
| University of California | Davis, CA | Master’s Certificate | Management | JUL 2004 |
| Anna University | Chennai, INDIA | Master’s Degree | Applied Science | DEC 1995 |
KEY ACCOMPLISHMENTS:
As an industry leader, Jothi has developed some unique products and industry solutions for several clients over the past twenty years, and here are some of his critical accomplishments.
- Developed national-level digital transformation strategies for the Malaysian government and worked with ministers and CEOs
- Advised the prime minister's office of Dubai on artificial intelligence and demonstrated how intelligent automation changes care delivery for the public.
- Designed, developed, and delivered a global faculty-developed program for hundreds of universities and colleges to upskill faculties in applied artificial intelligence, data science, data engineering, and cloud.
- Trained, coached, and mentored more than three hundred thousand individuals.
- Spoke at several industry events and presented to more than fifty-plus industry conferences.
- Written and published numerous articles on finance, data, analytics, and technologies.
FIFTY PLUS CLIENT ENGAGEMENTS:
Jothi brings local and international proven client engagement expertise. In these fifty-plus engagements, Jothi demonstrated hands-on enterprise architecture, solution design, program leadership, and project delivery skills. Jothi has deep industry domain and business processes knowledge in health, oil & gas, energy, retail, and public services.
| Industry | Clients Served |
|---|---|
| Health | Kaiser, Blue Shield of California, Bristol Myers Squibb, Eli Lilly, Takeda Pharmaceuticals |
| Oil & Gas | ExxonMobil, Chevron, Baker Hughes |
| Energy | PG&E, OGE, Duke Energy, CenterPoint Energy, Enable Midstream |
| Retail | P&G, Colgate, Under Armour, Charlotte Russe, Cintas |
| Public Services | DMV, HHSC, DDS, FLYDUBAI(Emirates) |
EXPERT LEVEL TECHNOLOGY SKILLS:
Jothi specializes in applied AI, intelligent automation, machine learning, data science, data engineering, multi-cloud, and advanced computing. A technology leader, Jothi has proven skills, knowledge, and expertise in several technologies. Here is a summary of his expert-level technical skills.
| Technology Platform/Solution | Field of Expertise/Tools/Technologies | Level of Proficiency | Years of Experience |
|---|---|---|---|
| Intelligent Automation | Celonis Process Automation | Hands-on | 7 |
| Data Science | Machine Learning Libraries - CV, NLP, and RPA Applications | Hands-on | 7 |
| Data Engineering | SAP HANA, Oracle, MS SQL, MYSQL, HADDOP, Spark & Databricks | Hands-on | 10 |
| Advanced Computing | Cloud Computing, Microservices, Scala and Python | Hands-on | 10 |
| Multi-cloud | AWS and Google Cloud Platform (GCP) | Hands-on | 5 |
| System Integration | Microservices, Middleware Technologies, and Messaging | Hands-on | 15 |
| Enterprise Performance Management | Planning, Budgeting, Forecasting, Financial Close, and Reporting | Hands-on | 10 |
| SAP ERP | Financial Accounting | Hands-on | 12 |
| Programming | Python, C and SQL | Hands-on | 10 |
CURRENT PROJECT ENGAGEMENTS:
- DMV: VANITY LICENSE PLATES: DATA SCIENCE AND RPA APPLICATION DEVELOPMENT
- Role: Product Manager
- Since March of 2022, I have been engaged with the California motor vehicle Department on an environmental license plate (ELP) project. As a product manager, I am developing a deep learning model to validate the classification of personalized license plates. In this project, I collaborate with Google, AWS, and DMV team to deliver this mission-critical and complex project on multi-cloud infrastructure.
- The ELP application is a natural language processing application (NLP), and it's empowered by robotic process automation (RPA) through UiPath.
- FLYDUBAI: REVENUE & FINANCIAL MODEL FOR BOOKING PREDICTION AND FORECASTING
- Role: Chief Applied AI Architect
- The Flydubai revenue optimization project started in September 2021 and aimed to develop an enterprise AI platform for a digital transformation. As a chief AI architect, I am responsible for the "end-to-end" enterprise AI platform design and delivery on the AWS cloud platform. The primary business objective of the project is to optimize revenue and reduce the operating cost by not operating flights if the number of bookings doesn't meet the defined margin guideline.
- In the project, I implemented several deep learning models on the AWS cloud using the TensorFlow framework to predict the number of bookings within 30, 60, and 90 days to determine whether to operate a flight on a given schedule. The data science application uses external factors such as weather, location, and competitors.