The Data Science Retreat (DSR) is an exclusive 2-day event aimed at C-suite executives from companies and government leaders operating in Africa, looking to better understand the role that Data Science and AI can play in business and governance. The aim is for the cohort to understand how AI & ML technologies are affecting every industry and gain practical knowledge on how to deploy these technologies to grow your business or improve governance.
The 2-day Learning Retreat will focus on a hands-on approach towards solving business problems using Machine Learning, in a relaxed setting aimed at personal connection and growth. The course has been designed to ensure participants can benefit without a background in programming.
For the learning sessions.
$300 per participant. Early Bird Offer $250 per participant till Nov 17, 2023
Contact us for bulk ticket discounts
If you need accommodation for the two days at the venue hotel of the Data Science Retreat, hope you have checked in the box in the registration form.
We will inform you soon the Venue of the DS Retreat, and the special accommodation tariffs we are working out with the Venue hotel, as discussions are underway. We shall message you as soon as possible."
| Room Type | Rate per Night | Availability |
|---|---|---|
| Single Room | $100 | Available |
| Double Room | $150 | Available |
| Suite | $250 | Limited |
Preferential rates given by the Hotel for the participants of
DSR Africa Edition
(Book directly with the hotel, giving reference to the DSR
Africa Edition, Dec 1-2, 2023)
Mr Naresh Byra
Rooms Division Manager
White Sands Resort & Conference Centre
Africana Road | Jangwani Beach | P.O. Box 3030 Dar es Salaam |
Tanzania
Phone: +255 758 818 697 / 698 / 699
Mobile: +255 758 818 690
Email: rdm@hotelwhitesands.com
Very few people go to Goa and sit inside a glass building to learn about machine learning. But recently I did it along with a small cohort of a very diverse set of people The hype around machine learning (ML), neural networks, and artificial intelligence is at its peak. Hardly a conversation goes by that does not mention these words many times... Read More
K Yatish Rajawat
Public Policy | Journalist | Upskilling Ideas
Digital Communities | Startups
The Data Science Retreat: Africa Edition
Marti Mannariah Gurunath Chair Department of Chemical Engineering, IIT Madras
Prof. Raghunathan Rengaswamy, a fellow of the Indian National Academy of Engineering, is the Marti Mannariah Gurunath institute chair professor at the Department of Chemical Engineering, IIT Madras and a core member of the Robert Bosch Center for Data Science and AI (RBC-DSAI), IITM. He is also currently the Dean Global Engagement, and he has played a crucial role in shaping IIT Madras' first offshore campus in Zanzibar, and has helped formulate the Data Science and AI undergraduate program. Prior to this, he was a Professor, Chemical Engineering and co-director of the Process Control and Optimization Consortium (PCOC) at Texas Tech University, Lubbock, TX USA, Associate and full Professor at Clarkson University, Potsdam, NY, and Assistant Professor at IIT Bombay, Mumbai, India.
Prof. Rengaswamy’s major research interests are in the areas of Data Science / Machine Learning / AI and applications of these ideas in the areas of Process Systems Engineering, Energy systems, Droplet Microfluidics and Systems Biology. His prolific work encompasses systems engineering, energy, and data science, evident in 150+ papers, 6 patents, and an h-index of 45. Prof. Rengaswamy has also co-authored a book titled “Data Science for Engineers” along with Dr. Resmi Suresh, IIT Guwahati. His work in AI has received best paper awards in international journals and conferences. He is also the recipient of several teaching awards and the INAE Young Engineer award.
Together with Prof. Shankar Narasimhan, he has offered a course titled Data Science for Engineers. This course along with another course titled ‘Python for Data Science’ have had a combined enrolment of more than 250,000 students over several offerings. Raghu’ s graduate students are in faculty positions in several IITs and in the USA. Raghu consults in the areas of DS/AI for several companies in India and abroad and is in the advisory committee of CII AI center of excellence and is a co-founder of three start-ups incubated at IIT Madras.
Co-Founder and CEO of Zindi
Celina is the Co-Founder and CEO of Zindi, Zindi is the leading platform for data practitioners in Africa. Celina has a passion for unleashing the power of data for social good. Celina has a proven track record of thought leadership in the intersect between data and development and has played central roles in the launches of global platforms including the Alliance for Financial Inclusion (www.afi-global.org), insight2impact (www.i2ifacility.org), and now Zindi (www.zindi.africa). Celina's work has expansively bridged across the private and public sectors and across various development areas including financial inclusion, micro and small enterprise development, market system development, gender, climate change, and public health. She has lived and worked in countries throughout Asia, Latin America, and Sub-Saharan Africa.
Zindi is the leading professional network of data scientists in Africa and emerging markets. Our community of 48,000 practitioners come to Zindi to build their networks, skills, and careers. Companies like Microsoft, Google, and Absa come to Zindi for top crowd-sourced solutions, talent, and marketing. We are on a mission to make AI accessible to everyone!
Education: Columbia University
Bachelor of Science (BS), Applied Mathematics with a minor in Computer Science.
Masters in International Relations (MIA), Advanced Policy, Economic Analysis, with a concentration in quantitative Analysis.
Heads technology and innovation, CL Educate
Sujit Bhattacharjee heads technology and innovation in CL Educate and oversees the Digital business and the data science practice. Over 20 years he has headed the development of ERP, CRM and LMS systems which run all CL Educate businesses. Teams under Sujit enabled online education by adopting a range of delivery technologies embracing web and mobile. The data science practice is aimed at building cutting edge business solutions by providing prescriptive analytics to drive business efficiency and growth and deepening effective educational delivery with the power of analytics. He also works in Voice technology and develops Alexa skills
Sujit is a passionate trainer in both technology and human behaviour. He has led many faculty development workshops in Machine Learning, Voice tech and Digital marketing technologies. He also works closely with schools and colleges and conducts workshops for students and teachers in a range of topics from Personal Leadership, Growth Labs, Understanding Human Behaviour, Outbound team building, Teacher Effectiveness, Empathic Communication and Parenting Strategies Sujit has worked in India and the US for over a decade in the cutting-technologies before he joined CL Educate as one of the Co-Founders in 2000.
His personal interests are Music, Acoustic Guitar, Tennis, Bridge and Yoga.
Education:
BTech in Electronics, Indian Institute of Technology, Kharagpur
MBA from Indian Institute of Management, Bangalore.
IIT Madras 
Zindi
CL Africa
