We are adding speakers and instructors daily to bring the best possible program of top data scientists and instructors.
We are adding speakers and instructors daily to bring the best possible program of top data scientists and instructors.
Gunjan has been working in the industry for 3+ years and has a background in Mathematics. Currently, she is working with the Fraud Team in the Gopay (Gojek) Data Science team. She can talk about statistical models with you all day long and can’t help but notice patterns everywhere in her life. Along with her day job, she also mentors aspiring young data scientists. She currently a mentor at springboard.com for their course Data Science Career Track.
David is the Senior Advisor for Data and Artificial Intelligence at UnionBank Philippines. Concurrently David is an external advisor to Singapore’s Corrupt Investigation Practices Bureau (CPIB) in the capacity of Senior Advisor (Artificial Intelligence) and to Singapore’s Central Provident Fund Board (CPF) in the capacity of Senior Advisor (Data Science). Prior to his current roles, David was the Monetary Authority of Singapore (MAS) first appointed Chief Data Officer and Head of Data Analytics Group reporting to the agency Deputy Managing Director for Financial Supervision and subsequently Special Advisor (Artificial Intelligence) reporting to Deputy Managing Director for Markets and Development. In these roles, he led the development of the AI strategy both for MAS and Singapore’s financial sector as well as driving efforts in promoting open cross-border data flows. David has extensive exposure and experience in both industry and academia and he has consistently applied advanced technology with an analytical mindset to shape and deliver new innovation. David holds a Ph.D. in Computer Science in the field of Machine Learning from the University of Southampton and graduated from Royal Holloway, the University of London with First Class Honors B.Sc. in Computer Science and Artificial Intelligence. Out in the “field”, David is more likely to consider himself a data artist instead of a pure data scientist.
Ravi Ranjan is working as Senior Data Scientist at Publicis Sapient. He is part of the Centre of Excellence and responsible for building a machine learning model at scale. He has worked on multiple engagements with clients mainly from Automobile, Banking, Retail, and Insurance industry across geographies.
In the current role, he is working on a Hyper-personalized recommendation system for the Automobile industry focused on Machine Learning, Deep learning, Realtime data processing on large scale data using MLflow and Kubeflow. He holds a bachelor’s degree in Computer Science with a proficiency course in Reinforcement Learning from IISc, Bangalore.
Sigrid is Global Director for Data Analytics and Data Science in transaction banking at Standard Chartered. She recently joined Standard Chartered in 2020 as part of the Digital and Data Analytics team to lead the establishment and development of the data analytics capability for trade finance which is at the forefront of the business’ digital transformation. Sigrid is driving the identification and development of data-driven solutions with advanced analytics (AI, ML), allowing to provide personalized products to end customers, to have a deeper understanding of customer risk profiles, and to identify sustainable trade finance opportunities.
Sigrid is regularly invited to speak at conferences at various forums in Singapore and overseas. She is also deeply interested in Innovation and continuously brings in new methodologies to the bank. Sigrid is also active in the startup community as an advisor and mentor and is part of the 2020 Singapore Fintech Festival mentoring program. She has coached, trained, and guided many young aspiring data scientists at different stages of their careers, both in Singapore and overseas (including GDEXA https://www.gdexa.com/global-mentorship/).
Prior to Standard Chartered, Sigrid worked in various industries including Research, FMCG, and Telco. Her most recent appointment was to head the data science team at the Singapore Exchange (SGX) where she led the establishment and development of the data science, machine learning & visualization capabilities across the company. Sigrid holds an engineering degree (Hons) in Agronomy, Bio-engineering, and Statistics from AgroParisTech, INA P-G, Paris, France (top institute of higher education in life sciences in France), a Masters degree (Hons) in Probability and Statistics from AgroParisTech/ Universite Paris-Sud/Ecole Normale Superieure, Paris, France, and a Ph.D. in Biostatistics (Hons) from University Paris-Sud, Paris, France, jointly conducted with Genome Institute of Singapore, A*STAR in Singapore.
Priyanshu Jain is a Data Scientist and a Machine Learning enthusiast with 6 years of experience. He graduated from IIT Delhi in 2014. He did B.Tech and M.Tech in Electrical engineering. He has worked with Barclays and Opera Solutions in the past. Currently, he is employed with Guavus Networks.
Kavita is an Analytics leader with 12 + years of core hands-on experience having an excellent track record on Presales, Partner Management, Analytics Delivery, and Team management across domains in World-Class Organizations. Currently, she is heading the Data Science function at Infinite Sum Modeling. She is a Chemical Engineer by education followed by a Masters (Eco) from IGIDR. She is a seasoned analytics professional with work experiences across companies like Fair Isaac, Experian, Accenture, Infosys, and Vodafone. Her vast experience in domains like Banking, Insurance, Telecom, Fraud, and Risk Management gives her the right kind of diversification. She has published papers in areas of Financial Econometrics and Social Media Analytics. She has been an esteemed speaker at various national seminars on Analytics. Her passion for Analytics and learning drives her to explore newer technologies and innovations in Analytics space. She is currently leading the capabilities of the firm in the areas of data science and analytics training as well as new business development in several areas that include data science, business analytics, Artificial Intelligence, Data Mining, Machine learning, blockchain, robotic process automation, econometric modeling, CGE modeling, policy/business strategy analysis, among other areas of interest to the company.
Hugo Bowne-Anderson is Head of Data Science Evangelism and VP of Marketing at Coiled, a company that makes it simple for organizations to scale their data science and machine learning in Python. He has extensive experience as a data scientist, educator, evangelist, content marketer, and a data strategy consultant at DataCamp, the online education platform for all things data. He also has experience teaching basic to advanced data science topics at institutions such as Yale University and Cold Spring Harbor Laboratory, conferences such as SciPy, PyCon, and ODSC and with organizations such as Data Carpentry. He has developed over 30 courses on the DataCamp platform, impacting over 500,000 learners worldwide through his own courses. He also created the weekly data industry podcast DataFramed, which he hosted and produced for 2 years. He is committed to spreading data skills, access to data science tooling, and open-source software, both for individuals and the enterprise.
Dr. Sri Vallabha Deevi is a Data Scientist at Tiger Analytics and lead teams in building analytics solutions – from simple statistical models to AI/Deep Learning models. His expertise is in scientific computing, machine learning & reduced-order modeling of physical systems. He is interested in teaching and talk on data science and machine learning regularly at various colleges & conferences. He finished B.Tech from IIT Madras and Ph.D. from IISc Bangalore.
Alex has 17+ years’ experience developed across a number of industries and domains, including Federal and State government, Insurance, Asset Management, Banking (Investment and Retail), Consulting, and Academia. He has expertise in leveraging Data Science/AI to deliver impact and change, by developing and managing high-performance teams, and via strategic advisory and technical expertise. Alex has recently been recognized as one of the Top 10 Analytics Leaders in Australia by IAPA (Institute of Analytics Professionals of Australia).
You can follow Alex on Twitter (@DrAlexAntic) or his blog (https://impartiallyderivative.com).
Soumya Jain is currently working as a data scientist II in MiQ. She has done her engineering in computer science from BIT Durg, and MTech from IIIT Bangalore in data Science specialization. She has been employed for the past 1.5 years. She has a keen interest in the field of data science and finding valuable information from a dataset and making great stories out of it is what drives me to learn more.
Prof Carol Anne Hargreaves is a results-oriented Director of the Data Analytics Consulting Centre at the National University of Singapore (NUS) and holds a joint position as an associate professor in the Department of Statistics & Applied Probability and the Department of Mathematics. She is also the Co-Chair for the Data Science & Analytics Programme. Prof Carol has extensive experience in leading teams of analysts to solve multidisciplinary real-world data science problems. She developed and took charge of multiple innovative projects in the Pharmaceutical, Healthcare, Telecommunications, and Fast-Moving Consumer Goods (FMCG) Industry.
Her research area includes Artificial Intelligence & Machine Learning Applications in Healthcare and the Financial Industry. She is a Member of the Data Literacy Programme Committee at the National University of Singapore. Prof Carol Hargreaves is a Keynote Conference Speaker, Program Committee Member, and an Editorial Board Member for many international and local conferences.
Piyush Arora is a Research Scientist with American Express AI Labs, Bangalore, India since September 2019. Before joining American Express, he was a Post-Doctoral researcher with the ADAPT Centre, Dublin, Ireland. He completed PhD in computer science in August 2018 from Dublin City University, Ireland.
His areas of interest are Information Extraction and Retrieval, Machine Learning, User Search Behavior, Natural Language Processing, Sentiment Analysis, and Deep Learning.
During his PhD, he worked in the area of Interactive Information Retrieval, towards developing novel solutions for improving the overall search experience and user learning. Mainly focused on Natural Language Processing and Machine Learning techniques and tools and their application for different tasks, domains, and languages.
He is interested in learning and exploring more on how to use technology to bring changes at the root level, especially focusing on education and human learning, how can we make better societies and ecosystem with the use of technology. He believes “Guided Technology” can play an important role in the path towards a global sustainable world.
Jianshu is Head of Federated Learning at AI Singapore where he leads the team to develop a platform to support Federated Learning, a new paradigm of privacy-preserving Machine Learning. As a national initiative, AISG brings together the strength of AI research bodies in Singapore’s Autonomous Universities and research institutes, together with the vibrant ecosystem of AI start-ups and companies developing AI products, to perform use-inspired research, create innovative AI solutions, and develop the talent to power Singapore’s AI efforts.
Jianshu has many years of AI/Data Science research and consulting experience. In recent years, he has spent most of his time in putting AI/ML into real-world usage and promoting ethical aspects of AI/ML, e.g. explainability, fairness, robustness, and privacy-preserving AI/ML models. Before joining AISG, he was the Head of Insights and Modelling of a leading global reinsurer where he led his team to deliver a number of significant data science projects for their key clients in the Asia Pacific region. Jianshu obtained his Ph.D. in Computer Science from Nanyang Technological University (NTU), Singapore in 2008.
Pooja Balusani is a Data Scientist at Noodle.ai for 2 years. She has a Bachelor of Technology in Computer Science and Engineering with a Specialization in Data Science from PES University, Bangalore. She worked on Reusable Data Science Assets, Product Quality, and Asset Health AI Applications.
Isaac Reyes, Co-Founder at StoryIQ, is a TEDx speaker and international keynote presenter in data visualization and machine learning. He was the keynote speaker at the 2019 Open Data Science Conference in Brazil and over 2018-2019, his speaking tour visited 26 cities across 5 continents. His ultimate goal is to empower every organization to derive value from data.
Debanjana is a Data Scientist at Walmart Labs, Global Data Value Realization. At Walmart, she has been instrumental in building numerous high-functioning bots in the compliance space dealing heavily in Natural Language Processing, Optimization, Mixture Models and Rare Time Series. Currently, her focus is on extensive Shrink Research where along with her team members she is identifying potential areas of high impact for Retail Shrink. During her 3 years of experience, Debanjana has filed 5 US patents in the field of Clustering & Anomaly Detection, Imbalance Text Classification, Travel Optimization and Stochastic Processes. In addition, she has three published papers to her credit. She presented her paper REDCLAN (Relative Density Based Clustering and Anomaly Detection) in ADCOM’18, CRESST was included at ICMLA’19 and iCASSTLE (Imbalanced Classification Algorithm for Semi Supervised Text Learning) was presented at ICMLA’18 (Orlando, FL), which was later published by IEEE. Debanjana has a master’s degree in Statistics from Indian Institute of Technology (Kanpur).
Researcher, Data Scientist, Data Science Architect, Performance specialist, Entrepreneur. Currently working as a Data Science Researcher and Director in Thales (Guavus) handling various Data Science projects. Along with actively exploring new techniques of Machine Learning via various research projects. Thus ensuring that Data Science could be effectively applied to real world scenarios and able to solve important problems.
Noriko Arai is the program director of an AI challenge, Todai Robot Project, which asks the question: Can AI get into the University of Tokyo? The project aims to visualize both the possibilities and the limitation of current AI by setting a concrete goal: a software system that can pass university entrance exams. In 2016, Todai Robot achieved the top 20 percent in the exams and passed more than 70 percent of the universities in Japan. She is also the program director of Researchmap Project to build a platform for researchers to manage their research activities. The inventor of Reading Skill Test, in 2017 Arai conducted a large-scale survey on reading skills of high and junior high school students with Japan’s Ministry of Education. The results revealed that more than half of junior high school students fail to comprehend sentences sampled from their textbooks. Arai founded the Research Institute of Science for Education to elucidate why so many students fail to read and how she can support them.
Dean Wang is a Data Science Lead from Google. He leads the data science and machine learning team in Google Southeast Asia business unit to serve advertisers across the region, for multiple industries. He did his PhD in operation research in NTU, and has worked for McKinsey, SAP and Apple as data scientist before joining Google. He was part of the data science research team that helped German Football team compete (and win) world cup 2014 (and left before 2018).
Venkata Pingali is an academic-turned entrepreneur. He works at the intersection of data, ML algorithms, and systems. He builds data products to speed up the adoption of ML in the enterprise. Scribble Data, his firm, offers a platform and managed service to production feature engineering.
Professor Matt Kuperholz is the PwC Australian firms Chief Data Scientist, has recently been awarded on of the Top 100 Global Innovators in Data and Analytics was voted Australia’s top analytics leader as awarded by the premier industry body, has been awarded top 50 Data Leaders on the planet and top 100 Knowledge Workers in Australia by the office of the Chief Scientist and the Prime Minister. Matt Kuperholz is a self-confessed major computer geek who has been applying A.I. in anger to real-world client problems most days this millenium.
Piyush is a graduate from Georgia Institute of Technology and is currently working as an NLP Engineer at vahan.ai. After passing out from IITR with a Bachelors’s in ECE, he started out his career as a 4G protocol engineer but soon got attracted towards the fast-growing ML/AI domain. Over time he switched over to this domain and, after some exploration, found his interest in working with vernacular languages.
Juan Kanggrawan is the current Head of Data Analytics at Jakarta Smart City. His key role is to fully utilize data to formulate public policy and to improve quality of public services. Juan is currently working on several city-scale strategic analytics initiatives. He is actively analyzing complex, diverse and exciting urban data on a daily basis: citizen complaint/aspiration, transportation/mobility, health (COVID-19), CCTV, Open Data, weather-flood-river bank, subsidy utilization, food commodities price elasticity, etc. He is also developing and aligning strategic partnership framework between Jakarta Smart City with other government agencies, business enterprises, research agencies and universities.
Aravind Kondamudi is a Data Science enthusiast. He has completed Dual Degree masters in BITS Pilani and currently working in Aditya Birla Group as a Data Scientist. His love for Data science started while he was working in a Microfluidics lab, he worked on modeling the flows using data science aspects rather than traditional computational modeling. Then he worked to model the metallurgical properties in multiferroic materials. Being a Manufacturing Engineer, He got a chance to work in Aditya Birla Group, a manufacturing giant. He currently works on improving the manufacturing process through Machine Learning models.
Ujwala Musku works as a Data Scientist at MiQ Digital, and her work involves building revenue-based advanced analytics products within the digital advertising market. She has provided analytical and campaign management advice to top retail and travel clients at MiQ. She has experience in working in areas around retail analytics, supply chain optimization, and efficiency optimizations. Ujwala graduated with a B. Tech. in Chemical Engineering from IIT Guwahati, is a keen learner and inspired to build scalable ML solutions.
Anuj Gupta is a head the Machine Learning and Data Science teams at Vahan. Prior to this, he was heading ML efforts for Intuit, Huawei Technologies, Freshworks, Chennai, and Airwoot, Delhi. He did his masters in theoretical computer science from IIIT Hyderabad and he dropped out of his Ph.D. from IIT Delhi to work with startups.
He is a regular speaker at ML conferences like Pydata, Nvidia forums, Fifth Elephant, Anthill. He has also conducted a bunch of workshops attended by machine learning practitioners. He is also the co-organizer for one of the early Deep Learning meetups in Bangalore. He is also the Editor of “Anthill-2018” – deep learning-focused conference by HasGeek.