Param has over 20 years of hands-on and leadership experience in information technology projects with Silicon Valley companies such as Sun Microsystems, Oracle and other startups. Param has done Masters degree in Systems Engineering and MBA from San Jose State University, California, USA. At Xen.AI, Param is leading a passionate group of Machine Learning engineers and Data Scientists to develop innovative solutions using AI, Machine Learning, Deep Learning and Data Science technologies to help our clients improve the efficiency and reduce the operating cost. Please feel free to reach out to Param at Param@xen.ai to explore opportunities to apply AI technologies.

Dr. Dmitry Bandurin has solid experience in experimental research, data analysis and modeling. He is a co-author of many software packages in physics experiments, industry and SaaS analytical platform developed in the digital advertising field. He has done practical application of various machine learning techniques and live data monitoring. He wrote software codes to control hardware operation. Dr. Dmitry was the leader of data science group and a few algorithmic and physics groups at Fermi National Accelarator Laboratory. He has supervised many undergraduate/PhD students, data scientists and interns in various projects. Dr. Dmitry is the primary author of many papers published in major peer-reviewed physics journals with application of machine learning algorithms.

Dr. Satya has over 18 years of Data Science experience at various levels, including 9 years of experience in creating and leading data analytics programs in large organizations from conception to conclusion. He is passionate about helping organizations solve challenges and deploying machine learning. Prior to Xen.AI, Satya lead data science engagements at Air Products, Orbytel Group, UPS, Prudential Financial, Select Systems, Rodale, BehaviorMatrix, Trendium, TargetRx, and Nielsen. Satya has his PhD in Industrial Engineering & Management from IIT Kharagpur, and Post Doctoral from The Hong Kong University of Science and Technology. Dr. Satya has patent, papers published in major peer-reviewed Journals: IEEE, Applied Statistical, and conferences.

Ray is an innovative Data Scientist and Product Leader with a strong track record of delivering high-impact products to market. Ray believes the apex of innovation is at the intersection of vision, execution and science, thus, he excels at distilling client and industry needs then applying advanced Artificial Intelligence technique to create value. Ray domain expertise is in the Video Ad Tech and Media space, allowing marketers to efficiently reach their desired audience at all levels of the marketing funnel. Ray has a lot of experience in developing audience, viewership and demand advanced prediction AI models as well as optimal resource allocation using Linear Programming.

Dr. Svetlana Kharlamova is a Ph.D. quant and Data Scientist with rich experience in experimental research, data analysis, and quantitative predictive modeling. In the past she has conducted scientific research at Argonne National Laboratory. Dr. Kharlamova has an outstanding record developing quantitative models and analytics solutions for global leaders in academia, financial services, media advertisement, and MRO industries. Dr. Kharlamova is a proven data science leader with an extensive experience translating sophisticated mathematical theories into practical use. Dr. Kharlamova leads research projects and groups of data scientists as well as supports scientific collaboration in advanced mathematical modeling. She has been teaching Machine Learning at Berkeley University School of Information. Dr. Kharlamova advises leaders of start-ups and emerging technology companies. She is a primary author or co-author of more than 20 scientific papers published in major peer-reviewed physics journals, holds a patent and has another patent pending. Reported at major international scientific conferences.

Dr. Bhrigu has over 20 years of Data, Engineering, Product leadership experience, including managing large engineering teams involving building and implementing predictive models and machine learning. He is passionate about helping organizations solve challenges and become more efficient by deploying machine learning. Prior to Xen.ai, Bhrigu was Vice President, Software Engineering at Sony New Media Solutions and Executive Director, Sony Pictures where he was leading large teams. Bhrigu has his PhD in Computer Science from University of California, Riverside and Data Science Specialization from Harvard University. Bhrigu is also adjunct faculty at the Computer Science Department at California State University, Dominguez Hills.

Highly accomplished Sales Leader with extensive pharmaceutical experience in a wide range of specialty segments. Proven record of performance, maximizing revenue, developing talent, and building high performing teams. Expertise in resource deployment, accountability, hiring and coaching, skill development, strategic leadership to drive performance. Experience and expertise in Sales, Sales Leadership, Systems of Care, Institutional Account Management, Marketing, Training, Sales Operations, and Market Planning. Cross functional leaders with significant collaborative experience in product launch, co-promotion, and alliances with strong communication and process management, and tactical deployment. Areas of Expertise: Revenue Generation | Market Development | Business Intelligence & Analytics | Strategic Planning | Sales Operations | Talent Management & Development | Coaching Coaches | Incentive Compensation | Managed Markets | Sales, Product & Account Training | Sales Force Effectiveness Therapeutic Class & Channel Expertise: Oncology | Hematology | Cardiovascular | Thrombosis | Diabetes | Vascular | Pulmonology | Quality Measures | Institutions | IDN’s | Group Purchase Organizations (GPO’s) | State and Payer Formulary | Office-Based Specialties

Management and business development pro with more than 2 decades of solid experience working with both startups and established businesses in advertising, media, research and technology arenas. Deep understanding of the linear and digital ecosystems. The ability to deliver successful product integration strategies. Demonstrated strengths in national sales and marketing campaigns, with an extensive background in product planning and launch. Proven ability to use in-depth advertising industry knowledge to grow sales and establish key relationships with industry leaders. Skilled in defining and planning large-scale projects including workflow design. Well versed in industry trend analysis and action planning. Known as a proactive problem solver. Core Competencies: Marketing & Sales • New Product Development & Introduction • Business Development Strategic Planning • Market Penetration • Competitive Positioning • New Revenue Streams Customer Relationship Management • Account Retention • International Business • Profitability Market Launch • Profit & Loss (P&L) Management • Industry Alliances • High-Impact Presentation

Jens comes to us with over 25 years of Electrical Engineering and High Technology Sales Experience based out of Silicon Valley. He managed High technology Semiconductor, IP sales, Telecom, Consumer Mobile, Wearable development, Digital Health/Medical, IoT and IIoT, and Manufacturing accounts. He has strong relationships with the largest OEM and manufacturing companies in America, Europe and Asia. He graduated from San Jose State University with BSEE and minors in Physics, Math and Business. Jens started his career in R&D, migrated into IC design, applications and later into sales for the last 25 years, last 10 years as a VP of Sales. He has strong product knowledge in semiconductors, software and applications and is passionate about new and disruptive technologies. Jens worked as a Director and VP of Sales for Authentec, Akustica (Bosch), Invensense, Sensoplex and the last 3 years as a business consultant to Polyexplore and CMTC (California Manufacturing Technology Consultants as a practice lead for NextFlex (IoT Institute). Throughout his career he interfaced with academia and was passionate about new start-ups with disruptive new technologies operating in Sales and Business Development. Jens grew up in Guatemala city from German descent. Speaks fluent Spanish, German and English and enjoys playing tennis in his free time.

Experienced Development Manager with a demonstrated history of working in the professional training & coaching industry. Skilled in Training Delivery, Employee Training, Training Needs Analysis, Customer Relationship Management (CRM), and Recruiting. Strong human resources professional with a BS focused in Information Systems from BITS Pilani.

Samarth has done his masters degree from IIT Madras and Bachelors degree from NIT, Bhopal. Samarth has hands on experience in Data Science and analytics field, synthesizing data, defining the problem, feature engineering, building the model, deploying the same in production. He is skilled in implementing machine learning techniques and working with large unfiltered data sets using distributed computing tools such as Google’s Tensorflow. He is experienced in Machine learning building applications and important features for AI Platform. Also, he is well aware of other Machine Learning frameworks like Caffe, Theano, MXNet, and Pytorch etc.

Arbind has done his B.Tech degree from IIT Kharagpur, India. He has extensive machine learning experience from working as a data scientist with multiple companies. Highly accurate and experienced Data Scientist adept at collecting, analysing, interpreting large datasets and developing new models. Skilled in Deep Learning, Machine Learning, NLP and Computer Vision.

Dr. Georgy Golovanov has hands-on experience in data analysis, data acquisition and software development. He received his Ph.D in particle physics with practical application of various machine learning techniques and algorithms. Dr. Georgy carried out research for over 13 years in world-famous physics labs in Russia (JINR), Switzerland (CERN), Germany (GSI), and USA (Fermilab) with a strong interest in Data Science and Machine learning application in data analysis and modeling of physics processes, collecting and processing raw data. He is a co-author of wide range of software tools for data analysis, data acquisition as well as hardware components. He published original results in leading peer-reviewed physics journals.

Dr. Tsige is skilled in computational fluid dynamics and artificial intelligence. His research and work experience encompasses energy saving schemes for refrigerated storage systems and spray applications of plant control agents in cool stores. Dr. Tsige has been working as a primary investigator in many industry related projects in prevention of product losses, energy conservation, and package design in the cold chain. Dr. Tsige holds B.Sc. In Chemical Engineering, M.Sc. In Process Engineering from Addis Ababa University, Ethiopia and Ph.D. in Bioscience Engineering from KU Leuven, Belgium.

Nutchapol has a Master’s degree in Computational and Mathematical Engineering from Stanford University. He has extensive machine learning experience from working as a data scientist with multiple companies and through research at Stanford. He managed a core data science engine and helped a startup company launching its first wave of products. He has been involved both in the training and deploying machine learning models. In addition to data science, Nutchapol has experience with the energy industry, especially in the oil and gas business. He holds petroleum engineering degrees from Texas A&M and Stanford. He has worked on several petroleum-related machine learning projects with multiple Schlumberger research centers. He was also part of the oil and gas team in McKinsey and Company working on the analytics of the oil and gas data.