Machine learning, Data science, data analytics, AI, Big Data, Python

ASHIT TALUKDER

Cell: 818-***-****

*********@*****.***

Technologist, innovator in Data Science, NLP, Machine Learning, AI, Analytics, Data Management, Data Architectures and Platforms, and IT, committed to maintaining cutting edge technical skills 11+ years experience with cross-functional teams spanning engineers, scientists, customers and stakeholders in Data Science and IT to support key business initiatives. In-depth expertise in customizing solutions for structured and unstructured data analytics, including text / NLP, signals, speech, images, videos using information retrieval, search, analytics, machine learning, AI, statistics, predictive modeling, deep learning, and Big Data solutions Customized solutions for NLP and text analytics used for health informatics, clinical decision support, social media product analysis, fake news detection, phishing classification, among other applications Led and expanded the world-renowned TREC, TAC, TRECVID evaluations at NIST to advance information retrieval, search and text analytics, and multimedia analytic solutions for health records, e-discovery, social media, and other applications

Broad knowledge of complete technology stacks including infrastructure, platforms, cloud, virtualization, containerization / VMs, databases

Proficient in all aspects of Information Technology project management best practices such as Agile, Waterfall. Experienced in all aspects of Data Science and Big Data including data architectures, platforms, data management, governance, interoperability, standards, data models, ontologies/OWL/RDF, data security and privacy, and exploitation of data assets to create organizational value through analytics, data visualization and BI. Practical understanding of inner workings of statistical modeling, machine learning models and text analytics to effectively customize and apply relevant solutions to specific business problems, explain outcomes and interpret models

Well-rounded experience in IT (DOL), federal (NIST), research lab (JPL), and academic environments Proven expertise in building new, secure data-driven and predictive analytics capabilities gained through working on large programs with multidisciplinary teams in industry, academia, and federal agencies, spanning:

*Data Science and Big Data, Statistics, Machine Learning, Artificial Intelligence

*NLP, image and signal processing, computer vision, multimedia analytics

*Visualization, Human Factors and Usability, HCI

*Autonomy (Robotics, IoT, smart manufacturing, smart energy) and Cyberscience

*Systems engineering, Cloud, Mobile, Social media analytics In-depth knowledge of Data Science, NLP, machine

learning, statistics and Big Data tools and

environments including R, C, C++, Python, NumPy,

SciPy, Perl, Apache Hadoop, Mapreduce, Spark,

MATLAB, NLTK, GATE text/NLP tool, Scikit-learn,

H2O.ai, PredictionIO, PMML, Computer vision tools

such as OpenCV, and deep learning tools

MatConvNet, Caffe, Tensorflow, & visualization tools for unstructureddata (D3, D3.js)

Knowledge of MySQL, PostgreSQL, NoSQL

Knowledge of data and metadata standards, data

governance, Apache UIMA, OWL/RDF

Broad experience in Information Technology stacks

including Infrastructure / platform / cloud /

virtualization/ applications / data & analytics

20+ years experience with implementing new

advanced technology efforts with multiple

collaborators, complex noisy data wrangling, building data and predictive models, deriving insights and

communicate findings

Expert in end-to-end lifecycle of advanced technology and software development practices, design,

implementation, development, and deployment

including Agile frameworks

Project and program planning and execution

Execute, deliver complex advanced technology and

software programs / projects

Experience with software configuration management

solutions (JIRA, Confluence, Bitbucket) including

version control, build management, release planning 20+ years experience with implementing new advanced technology efforts with multiple cross-functional teams, complex noisy data wrangling, building data and predictive models, deriving insights and communicate findings Executed over $20 Million dollars in 15 competed grants/contracts from DARPA, DoD, NASA, NSF, NIH, DHS SUMMARY

SKILLS

ACCOMPLISHMENTS

and industry as a PI, co-PI in Data Science, Machine Learning, AI, NLP, Data mining, visualization Successfully expanded budget and scope of technical IT and Data Science programs by 15% at NIST, DOL through funding from DoD, DARPA, DHS and other organizations. Implemented solutions for Data Science, Big Data, and IT, involving knowledge extraction and predictive analytics from noisy structured and unstructured data (including text, images, videos). As NIST div. director, collaborated with ONC on health-IT standards, HIE, HL7 evaluations, and NIH/NLM on ULMS.

Customized solutions for NLP and text analytics used for health informatics, clinical decision support, social media product analysis, fake news detection, phishing classification, and other applications (with peer reviewed publications in these areas)

Led and expanded the scope of the world-renowned TREC, TAC, TRECVID evaluations at NIST to advance information retrieval, NLP search and text analytics, and multimedia analytics capabilities for clinical support, e-discovery, and others.

Employed Agile approaches for rapid, iterative development and deployment to stakeholders in multiple projects and programs, resulting in faster accomplishment of deliverables (10-25 % ahead of schedule) & 10-40% cost savings.

Designed and developed novel, scalable and secure end-to-end platform and architecture for analytics and machine learning from distributed repositories using data management, orchestration, security and encryption tools, and container solutions, applied to IoT, healthcare, cybersecurity, financial, multimedia data Initiated the Data Science and Big Data program at NIST with partnerships and stakeholders across federal agencies, academia and industry, including the first cross-domain Data science Symposium (http://www.nist.gov/itl/iad/data- science-symposium-2014.cfm ). Led and facilitated coordination of interagency Big Data and Data Science benchmarking and evaluation activities to better guide Data Science programmatic efforts between agencies Led the initial formation of industry-government Big Data working group, focused on common standards for Big Data interoperability, security, privacy, and architectures. Implemented new data initiatives for cross-platform, inter-agency secure data-sharing, data standards and interoperability, analytics, and visualization for improving business processes and value through data-driven insights Created new enterprise IT strategic roadmap, revised technology investment priorities, and target architecture based on latest technology standards for the US Dept. of Labor Re-engineered legacy, siloed systems employing enterprise IT standards and led new initiatives in data governance, interoperability, BI, data and predictive analytics, cybersecurity, SIEM, IAM, cloud, networking, applications and services, and platform infrastructure

Pioneered first real-time computer vision solution for 3D moving object and obstacle segmentation and detection in complex scenes (well-cited by peers)

Developed distributed control and intelligent event classification solutions with custom embedded system for distributed IoT sensor networks, demonstrated on mobile health & environmental monitoring applications Successfully created a startup (as co-founder) for mobile health monitoring using novel machine learning based on patent (co-inventor) which successfully obtained 3 rounds of funding. ( http://advancedtelesensors.com/ ) More than 75 peer-reviewed publications in renowned international journals and conferences (including venues such as KDD, NIPS, IJCNN, ICDM, AAAI, IAAI, ACM-MM, ICIP, ICASSP, IROS) covering machine learning, AI, NLP, text analytics, data analytics, computer vision, image processing, data science, Big Data, robotics, IoT. More than 15 keynotes and invited talks at international conferences, workshops, and federal interagency panels, including IEEE Big Data, CVPR (WACV workshop), NSF IUCRC, NITRD, DOE. 01/2016 to Current

UNIVERSITY OF NORTH CAROLINA, CHARLOTTE

Director, Data Analytics and Visualization Center & Bank of America Endowed Chair in IT Led center technology development activities with 8 core faculty in areas of Data Science and Visualization Implemented new solutions through strategic collaborations with industry in: o Customer Predictive analytics, Recommendation, and BI - Machine learning and analytics to predict customer behavior from web and transactions log data

o NLP and Machine Learning - clinical decision support, health informatics, social media and text analytics for product feedback

o NLP, machine learning, deep learning - classification of fake news and entity extraction, phishing detection o predictive modeling - financial transaction analytics with banks and financial institutions o Computer vision, image/video understanding - object classification and human activity detection o Visualization - visualization of unstructured data such as text for content & entity analysis EXPERIENCE

Developed new active learning solutions for text analytics and NLP with deep models for health informatics, fake news categorization, phishing detection, customer analytics from social media with 10-100x fewer training samples Led and implemented new $4Million program for novel data infrastructure and middleware for scalable data analytics, machine learning and data-driven discovery from distributed data in secure manner using innovative data management, indexing, search and query, infrastructure orchestration, virtualization and containers, applied to unstructured data (text, NLP, images) and structured data without exposing or moving sensitive or large datasets to end-users with multi-domain application demonstrations in social media analytics, earth science, cybersecurity, manufacturing, IoT, finance, and health informatics. Used Agile approaches for rapid, iterative development and deployment to stakeholders across organizations in the US, resulting in initial deliverables 25 % ahead of schedule (4 months early) & 40% cost savings. 01/2015 to 01/2016

US DEPARTMENT OF LABOR

Chief Technology Officer

Led advanced technology software development team in multiple projects for BI, visualization, content delivery, and analytics using Agile methodologies for delivery with 15% cost savings and 20% ahead of schedule. Organized and facilitated Agile and Scrum meetings, which included Sprint Planning, Daily Scrums or Standups, Sprint Check-In, Sprint Review.

Developed and implemented complex Internet and Intranet applications using hybrid cloud solutions. Implemented organizational policies, technical procedures and standards for preserving the integrity and security of infrastructure, applications and data.

Built application platform foundation and migrated legacy client-server product lines to enterprise architectures and services.

Implemented new data initiatives for cross-platform, inter-agency secure data-sharing, data standards and interoperability, analytics, and visualization for improving business processes and value through data-driven insights Created cross organization initiatives for improving data access and data-driven analytics capabilities through application migration to cloud, and state of art database and platform infrastructure improvements. Recommended technology standards for organization. Recommended architectural improvements, design solutions and integration solutions.

Designed and implemented new server standards for core business services. Created new target architecture framework at the US Dept. of Labor, to streamline and standardize information technology programs, designs and investments for mobile, cybersecurity, infrastructure, platforms, data management, cloud, and application services.

02/2011 to 01/2015

NIST

Program Director for Data Science

Data Science and Big Data Core Research and Development Programs Implemented new evaluations in TREC (Text Retrieval Conference) and TAC (Text Analysis Conference) including e-Discovery, dynamic domain (deep) search, real-time summarization for decision support and streaming social media.

Expanded TRECVID workshop evaluations to new solutions in large-scale video stream understanding with complex events and activities

Introduced new projects in search, NLP, and information retrieval for Health informatics and cybersecurity Initiated the Data Science and Big Data program at NIST (http://www.nist.gov/itl/iad/data-science-symposium- 2014.cfm ) focused on advancing Data science and Big Data through standards, measurements, benchmarking, evaluations and reference data with multi-stakeholder participation from academia, federal agencies &industry. Led the initial formation of industry-government Big Data working group, focused on common standards for Big Data interoperability, security, privacy, and architectures. Implemented interagency Big Data and Data Science benchmarking and evaluation activities across federal agencies to better inform each agency on progress in Big Data and data science solutions and capabilities, share resources, and inform, coordinate, and guide programmatic efforts between agencies Designed and developed new data science and Big Data benchmarking system for evaluating Big Data and data science solutions.

Implemented collaboratively with DARPA in the DARPA XDATA program next generation data management, scalable machine learning, AI, analytics and visualization techniques, and novel deep search and information retrieval solutions with DARPA MEMEX

Implemented with the Engineering Lab new programs in data-driven solutions for smart manufacturing, cyberphysical systems and Internet of Things using machine learning and AI Multidisciplinary Technical Programs in Data Science Worked collaboratively with ONC on health-IT standards, HIE, HL7 evaluations, and NIH/NLM on ULMS. Developed smart medical device interoperability solution with ASTM F2761 standards, using a distributed networked engineered smart system model with adaptive controls and human-in-loop Co-Led efforts for reference architecture for cyber-physical systems and implemented new projects in division on data-driven solutions for multimedia analytics, cyberphysical systems and Internet of Things Initiated new collaborations with NIH, HHS on medical data standards and data science for health science, covering analytics, visualization, human factors and usability Implemented technical programs and projects with large research teams in Data science and Big Data, machine learning, AI, NLP, image processing, computer vision, visualization, human factors and usability, human-system interaction, multimodal data analytics and visualization, information access, informatics for science, clinical informatics, healthcare, cyber-physical systems, smart systems, biometrics and identity management, defense, security, robotics, energy, and other applications. 03/2009 to 01/2011

ADVANCED TELESENSORS (STARTUP - ADVANCEDTELESENSORS.COM ) Co-Founder & Co-Inventor

Technology startup involving remote cardiac monitoring system using novel machine learning, based on my patent

(co-author). Startup went through 3 rounds of funding. Responsible for all aspects of software, prototyping, integration, and pitching to VCs. Employed Agile approaches to rapidly and iteratively develop prototype and demonstrate to VCs and customers. 06/2003 to 01/2011

UNIV. OF SOUTHERN CALIFORNIA

Adjunct Faculty

Developed novel embedded system with real-time control, adaptive communication, and machine learning event detection solution for IoT sensor networks for healthcare, firefighters, and environmental monitoring. 06/1999 to 01/2011

JET PROPULSION LABORATORY / NASA / CALIFORNIA INSTITUTE OF TECHNOLOGY Senior Research Computer Scientist

PI, co-PI, and project leader on multiple research programs in machine learning, AI, NLP, computer vision, sensor networks / IoT, robotics funded by DARPA, DOD, DHS, NASA, NIH, NSF Pioneered first real-time computer vision solution (well-cited by peers) for 3D moving object and obstacle segmentation and detection in complex scenes

PH.D.: ELECTRICAL AND COMPUTER ENGINEERING 1999

Carnegie Mellon University

MASTER OF SCIENCE: ELECTRICAL AND COMPUTER ENGINEERING 1994 Iowa State University

Chair, program committee member, and reviewer for numerous IEEE, ACM, SPIE conferences and workshops. NASA Space Act Award 2002 (novel biomedical technologies), 2005 (remote astronaut eyegaze monitoring systems), 2008

(visualization system for unmanned systems of robots and sensor networks), 2009 (through-wall and remote biometrics) Premium Award for Academic Excellence, Iowa State University, 1992 Patent "Long Standoff Through-Wall Biometrics System", (USPTO Patent # 200********) for work on Remote Cardiac Monitoring using Microwave signals. Technology has been commercialized by a company Advanced Telesensors in 2009. Patent (US 200********) "Automated Intra-oral plaque analysis system" through the California Institute of Technology Intellectual Property Office for work on Colgate-Palmolive PlaqTrak System (Nov 2001). More than 75 publications in renowned international journals and conferences ( including venues such as KDD, NIPS, AAAI, IAAI, IROS, IJCNN) covering Data Science, Big Data, machine learning, AI, NLP, text analytics, data analytics, computer vision, image processing, robotics, IoT. EDUCATION AND TRAINING

ACTIVITIES AND HONORS

PATENTS AND INVENTIONS

PUBLICATIONS

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