Lead Data Scientist at Nielsen
Dr. Geffert is based in New York City working as Lead Data Scientist at the American media company Nielsen. Originally from Germany, he moved to the United Kingdom to work with the United Nations on using technology and data science methods in environmental conservation. He obtained a PhD from the University of Cambridge and has since worked with companies in London, Hong Kong, and New York, including large corporations such as Sainsbury's, small disruptive startups, and freelance consulting. He is a contributor to various open-source libraries, a Data Camp instructor, a volunteer for DataKind, and a data science blogger.
CEO at HG Insights
PhD in Political Science with a concentration in Econometrics
Elizabeth Cholawsky is the CEO of HG Insights, a provider of technology intelligence about companies and markets. Elizabeth is an established executive leader in the technology industry who has grown successful businesses from start-ups to enterprises with special expertise in product innovation, client services, marketing and public company governance. Prior to joining HG Insights, she was CEO of Support.com (NASDAQ: SPRT), and a general manager for Citrix Systems (CTXS). Elizabeth holds a PhD in Political Science with a concentration in Econometrics from the University of Minnesota, and a BA (Phi Beta Kappa, cum laude) from Franklin & Marshall College.
Director of Data Science EMEA, APAC, ANZ
Leading data science teams, projects and workstreams. Business facing leader who quickly recognizes business value / opportunities for data science and has strong stakeholder engagement / management skills Has experience with most Regression and classification models, neural networks and most libraries. Deployment and strong understanding of sales / demand forecasting solutions
AI Research Scientist | Blockchain Evangelist | Author | TEDx Speaker
Prajit Datta, AI Research Scientist, at AFRY, based out of Gothenburg, Sweden.
He is also serving as a group manager for the AI Global Competence Group at AFRY. His recent involvements are in the development of Conversational AI Platform, AI-enabled HVAC Regulator. His team, AI & Future Technologies is known for its fully developed plug and play AI Product which has got capabilities of doing smart surveillance and is GDPR Compatible.
A 3 times TEDx Speaker and author of 2 books, He is a regular international public speaker on technology and had delivered talks across major continents (Asia, Europe, and the US).
He likes to mentor and teaches aspirants to leverage their skillsets and make them ready to contribute to the Data Science Community. A regular Kaggler and a seasoned Toastmaster. His vision is to develop intelligent systems using principles of artificial intelligence, which will change the way we look at the world or in short to make 'Person Of Interest'.
In his free time, he likes to read books, practice barbell activity in the gym and do yoga.
Nick’s career in data spans more than 20 years, and he has successfully delivered projects for organisations that include GlaxoSmithKline, DHL and EDF.
He led the Big Data Insights programme at Markerstudy, responsible for the collection, analysis and visualisation of hundreds of millions of records a day and winner of four international awards. In early 2016, Nick formed Incited, a group dedicated to delivering innovative data solutions for organisations looking to gain advantage through data-led initiatives. Nick is a regular speaker on the big data journey, data science and machine learning. He has also lectured in computing and data analysis.
PhD Candidate and Researcher Delft University of Technology
Ricardo Matheus is a PhD Candidate at TUDelft. Currently works with Big and Open Linked Data (BOLD) being part of CAP4CITY Eramus+ Project (www.cap4city.eu), aiming to create a MOOC for Smart Sustainable Cities within Latin American Context. Also worked on the OpenGovIntelligence Consortium funded by the Horizon 2020 (www.opengovintelligence.eu/). Former data analyst at Rio de Janeiro City Hall (2013-2015). Helped to improve some Big Data processes of the IBM Operation Center in Rio de Janeiro, Brazil (http://goo.gl/biYnTx). Worked on "Opening the Cities: Open Government Data in Local Governments of Argentina, Brazil and Uruguay" – (http://goo.gl/s1vgCq).
Researcher & Author
PHD in Computer Science & Eng
Dr. Smita Nirkhi has completed M.Tech in Computer Science Engineering, PHD in computer science & Eng. She has Published 39 papers in various international conferences & 7 papers in reputed and peer reviewed international journals. Also presented paper at International Conference at Singapore and IIT, Kanpur, India. She has received grant of 8 lakhs from AICTE for her Research under RPS. She has attended and organized STTP workshops along with other training programs. She has total 15 years of professional experience. She worked as a reviewer for various conferences. Her Area of interest include Soft computing, Data mining, web mining, pattern recognition, MANET, Digital Forensics ,Machine Intelligence, Pattern Recognition, Authorship Analysis, Data Science.
Physicist and Researcher
PhD - Physical Science, Postdoc-Independent Research on Light-matter Interaction
Currently, my research interest lies in science at the intersection of optics and condensed matter physics, especially in the area of Optomechanics. Also, modern techniques of machine learning & Big data science towards natural science, where algorithms are used to simulate and study the scientific discoveries in physics applications such as prediction of material properties, analyzing phase transition and creating new compounds and soft body simulation etc. The activities include numerical analysis, design, develop machine learning and data models, statistical and data analysis, debugging the data models and conducting research to improve model accuracy by collaborating with experts.
VP Global Sales
Scott Smyth has over 12 years of experience in a range of commercial leadership roles in the technology intelligence sector. He has worked closely with a wide range of market leading ICT providers helping them use data analytics to shorten sales cycles and increase win rates. Scott previously led teams at Datamonitor and Ovum before taking the commercial lead at GlobalData (formerly Kable Research). More recently he co-founded Pivotal iQ which was named a Great British Scaleup by Tech Market View and was subsequently acquired by HG Insights in October 2018. Scott is passionate about providing deep insights to ICT providers via high-quality research, and is dedicated to ensuring HG Insights’ intelligence becomes the gold standard in the provider marketplace. Last year he won the 'Rising Star of the Year' category at the South African Chamber of Commerce Business Awards for establishing Pivotal iQ as the market leader in IT intelligence and for his ongoing aid work in Sierra Leone and Liberia. Scott holds a degree in Management and Economics from Nottingham University Business School and is a founder member of the Data Science Foundation
Data Scientist at Lloyds Banking Group
Working as part of a new data science team within Group CIO Engineering. Working to make CIO a much more data driven organisation and looking at how we make better use of data to improve internal IT processes and management. Primarily focusing on Data Engineering and building end to end data pipelines.
Being a graduate in Applied Statistics I am data science practitioner capable of bringing scientific rigor to business decisions by intimidating data sources, unlock and scale the value in data, build Insight Products from the world of Data Science, generalize those analyses or anticipate questions and alert business to relevant changes. I am passionate in finding new and potentially unorthodox data sets using specialist Data Science tools and techniques including Big Data technologies, Intelligence Augmentation, Information Visualization, and Artificial Intelligence techniques; and extract the rich, hidden information they contain to enhance traditional data analytics.
Data Scientist at Novac Technology Solutions
Post-graduate degree in Business Analytics and Intelligence
An innovative data scientist developing a risk model for the finance and insurance domain. I come with rich expertise in Multilingual text mining, rule-based Text summarization, Information extraction, MOM Repayment default prediction, Fraud detection, alternative Credit score model, and time series foresting.
I hold a post-graduate degree in Business Analytics and Intelligence awarded by Illinois Institute of Technology and Great Lakes Institute of Management. I also hold an MBA in HR with Bachelors in Electronics and Communication Engineering. Currently, in the process of writing a book about Natural Language Processing
Technology Specialist at Synechron Inc
Mayank Tripathi is a Technology Specialist at Synechron Inc where he investigates the business case for data projects and helps clients to create data models and architectures. Mayank also generates analytics reports to support business cases and prove ROI. His role includes creating business intelligence to improve client decision making and ensuring adherence to data security protocols.
Outside of the working environment, Mayank loves to explore new data related technologies; Data Analytics; Data Engineering; Data Scientist; Machine Learning, Python and R. Some of his articles can be found on Data Science Foundation website and on Machine Learning Knowledge AI (https://machinelearningknowledge.ai/).
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