We help forward-thinking companies leverage Artificial Intelligence, so that they can unearth the unknown, optimize their business,
and predict the future.

About

  • Soothsayer helps companies get the most out of their data – BIG or small, Structured or Unstructured. We synthesize Design & Data Science with Artificial Intelligence to develop novel solutions to complex problems. This allows us to precisely predict your future and identify opportunities for optimizing outcomes.
  • Our strength lies in the ability to build and productize custom algorithms and analytical tools. We are active in R&D and well-versed in disruptive innovations, such as Deep Learning, Meta-model based Simulations, and Natural Language Processing. For companies looking to build internal Analytic Centers of excellence, we also provide Corporate Mentorship & Training.
  • All of our Data Scientists hold a PhD or Masters and have a heavy background in Mathematics and Programming. We are also mentored by several academic heavyweights and business leaders from a variety of domains. We leverage this knowledgebase to stay abreast of the latest innovations in Business and Data Science.
  • Contact us if you would like to explore how Soothsayer can transform your business.

DATA SCIENCE DEMYSTIFIED FOR DECISION MAKERS

In this two-hour session, renowned Data Scientist, Dr. Murthy Kolluru, will demystify Data Science and provide business leaders with a deeper understanding of the subject. The emphasis will be on the intuition, not the math, behind cutting edge algorithms and concepts like Machine Learning. We will also discuss the ROI of data driven decision making and highlight a few business problems that Data Science enabled us to solve.

Dr. Murthy holds a Ph.D. in Materials Science from Carnegie Mellon and started his career as a Rocket Scientist. He has architected and solved extremely complex problems in both business and engineering and is considered one of the top Data Science academicians in the world.

Columbus, OH Time Agenda
November 12, 2014
565 Metro Place South,
1st Floor Training Room,
Dublin, OH 43017
9:00 am to 9:15 am Sign up, snacks & Networking.
9:15 am to 10:00 am Models & Intuition
10:00 am to 10:15 am Break
10:15 am to 11:00 am Case Studies & ROI
11:00 am to 11:15 am Q&A
Click here for Registration
There is no charge for this event, and parking is free. Refreshments will be served.
Detroit, MI Time Agenda
November 14, 2014
21000 West 10 Mile Rd.,
Management Blgd., Room M336,
Southfield, MI 48075
9:00 am to 9:15 am Sign up, snacks & Networking.
9:15 am to 10:00 am Models & Intuition
10:00 am to 10:15 am Break
10:15 am to 11:00 am Case Studies & ROI
11:00 am to 11:15 am Q&A
Click here for Registration
There is no charge for this event, and parking is free. Refreshments will be served.

Team

GAURAV AGRAWAL
VP, OPERATIONS

Gaurav is a dynamic entrepreneur and co-founder of Soothsayer. He holds Masters Degrees in Electronics and Technology and has spent over two decades in technology. Prior to Soothsayer, he founded two successful companies and oversaw the delivery of enterprise solutions to Fortune500 companies in the US, UK, Germany, and Asia-Pacific. Gaurav oversees human resources, operations and project delivery.

CHRISTOPHER DOLE
VP, BUSINESS DEVELOPMENT

Chris is a co-founder of Soothsayer. He studied Political Science at The Ohio State University, but earned his stripes in business. He brought the Soothsayer team together and shepherds it’s strategic vision. Chris oversees marketing, partnerships, sales, and strategy.

Dr. Gnana Bharathy
Analytic Architect & Design Scientist

Dr. Gnana combines analytics and synthetics to diagnose organizational problems and design appropriate analytic approaches. Gnana has holds a PhD from the University of Pennsylvania, where he still does research. He has 15+ years of commercial and research based analytics consulting experience. His primary work centers on complex system problems in business and society. This involves systems (design) thinking, analytics (modeling, simulation, and analysis), emphasizing human behavior, representing rich interconnections between parts, and employing both quantitative and qualitative knowledge elicitation techniques. He publishes regularly in reputed journals.

AKSHAY DESHPANDE
LEAD DATA SCIENTIST

Akshay was the first Data Scientist at Soothsayer, and he is actively involved in problem assessment, solution design, and project execution. He holds a Bachelor’s in Control Systems and a Masters in Computer Science from The Ohio State University. Prior to joining Soothsayer, he was a Senior Consultant at IBM, where he successfully delivered on multiple advanced analytics projects. He is an expert in Machine Learning, especially in relation to Speech Recognition and the Rapid Development of Pronunciation Models for low resource languages. He enjoys tackling complex business problems and building world-class solutions for clients.

Prashanth Vajjhala
Data Scientist

Prashanth is involved in Data Science consulting and business development for Soothsayer’s education initiative. He holds a Bachelor’s in Metallurgical Engineering and a Master’s in Business Analytics from Drexel University. Prior to joining Soothsayer, he worked as a Data Scientist on an analytics product development team. He also worked for the International School of Engineering. He has a strong background in Data Mining, Optimization, and Machine Learning.

Jarred Hudson
Data Scientist

Jarred holds a Bachelor’s degree from the University of Arizona in Applied Mathematics and Physics, as well as a Master’s in Physics from The Ohio State University.  Prior to joining Soothsayer, he worked in multiple fields ranging from condensed matter physics to quantitative psychology in physics education.  This included developing models for electronic transport across molecular junctions to assessing the conceptual knowledge state of students in various levels of physics. He has a strong background in analytical thinking and coding, as well as the ability to apply these techniques across a wide spectrum of problems.

ANDREA FURGIUELE
BUSINESS DEVELOPMENT

Andrea is actively involved in relationship building, strategy, and corporate training. She studied Game Theory, Intelligence Analysis, and Political Science at The Ohio State University. She leverages this background to develop a deep understanding of client problems and offer actionable solutions.

Mentors

  • MURTHY KOLLURU
    PhD MATERIALS SCIENCE, CARNEGIE MELLON
    INSOFE MENTOR | DATA SCIENCE

    Dr. Murthy is a former Rocket Scientist and the President of the International School of Engineering, which was recently named the 3rd best Data Science program in the world (www.CIO.com).

  • JOHN BOORN
    PhD CITY & REGIONAL PLANNING, MIT
    MENTOR | CITY & URBAN INTELLIGENCE

    Dr. Boorn has spent the bulk of his career on Urban Planning, Sustainability, and issues that arise from an urbanized environment. We work together to solve problems related to the vast and disconnected dimensions of urban places.

  • DONG LI
    PhD MECHANICAL & AEROSPACE ENGINEERING, RUTGERS
    MENTOR | RETAIL

    Dr. Li is trained in science and educated in management. He has multiple degrees (including an MBA) and certifications. He is the former Head of Predictive Analytics at Alliance Data, and he advises us on analytics projects related to retail.

  • DAVID MONGEAU
    MBA, PURDUE
    MENTOR | TELECOM

    David was most recently the VP of Analytics at Battelle, after years with Bell Labs applying research in data management and analysis. He advises us on projects related to Telecommunications.

  • RYAN DESHAZER
    MBA, LOUISVILLE
    MENTOR | ADVERTISING & MARKETING

    Ryan is an industry thought leader and frequent speaker at major conferences. He is currently an EVP at one of the largest healthcare marketing agencies in the world, and he advises us on projects related to Marketing Analytics.

  • PAUL BESSIRE
    MSQA, CINCINNATI
    MENTOR | SPORTS

    Paul is a Professor at the University of Cincinnati, a Statistician, a veteran Sports Journalist, and the founder of PredictionMachine. We are working together to develop a best in class analytical solution for the NFL.

  • ZAIN KHANDWALA
    MSA, NORTH CAROLINA STATE
    MENTOR | BANKING

    Zain was an analytical leader at JP Morgan Chase and Wells Fargo. He is now the Founding Executive Director of Bellarmine University’s MS in Data Science. He advices us on analytical innovation in Banking.

  • MATTHEW D. PULLIAM
    MBA, BSE, UNIVERSITY OF MICHIGAN
    MENTOR | HUMAN CAPITAL

    Matthew is an experienced engineer and human resources executive. He advises us on opportunities for leveraging data analysis to drive practical and profitable human capital decisions.

  • JIM CROWLEY
    JD, CAPITAL
    MENTOR | LEGAL

    Jim is a seasoned Attorney, Journalist, Realtor, and Tech enthusiast. He advises us on the intricacies of projects involving law and real estate.

  • Christopher Farrar
    PhD LINGUISTICS, THE OHIO STATE UNIVERSITY
    MENTOR / HOSPITALITY

    With experience in virtually all levels and phases of management, Dr. Farrar has spent the last two decades developing and marketing advanced technology solutions for the hospitality industry. For the past several years his focus has been on helping to develop the potential of analytics to solve critical business problems in the hotel industry. He advises us on the intersection of business needs and analytics technologies in the industry.

Partners

Media

Services

S
e
r
v
i
c
e
s

We are not limited by canned tools purporting to do “Analytics” but really just querying your data. We are experienced working with data of all shapes, sizes, and complexity. Every solution is architected by a PhD, and we leverage our team of Mentors on problems that require specific domain knowledge.

For companies looking to develop a new product or to improve upon an existing one, we can help. We are currently exploring multiple product development partnerships and plan on developing state-of-the-art Data Science solutions and Intellectual Property for a variety of domains.

Our corporate training programs are led by world-class PhD’s from schools like Carnegie Mellon, Johns Hopkins, Stanford, and Wharton. Each program is custom and has the option of producing a deliverable at the end. We can deliver on a project while training your team to solve problems in the future. We offer both executive and hands-on training programs.

We offer Data Science curriculum development and teaching for educational institutions. Our mentors will provide cutting edge training in topics such as Machine learning, Deep Learning, Unstructured Data Mining, etc. All of our instructors have PhDs from top US universities like Carnegie Mellon, Johns Hopkins, and U Penn.

PATTERN RECOGNITION

recognize

Traditional algorithms fail to reveal well concealed patterns in complex, high dimensional, and unstructured data. For this kind of data, methods like decision trees tend to extract patterns that are obvious, meaning patterns with 70% or more support. This results in very few eye openers.

We utilize advanced Machine Learning techniques to search through data and extract Hidden Insights and Micro-patterns that most off-the-shelf methods miss. Instead of just drawing lines down the middle and computing averages, we identify all data points and their surrounding area, and extract actionable and intuition crushing insights.

When needed, we can extract actionable If-Then patterns from otherwise seemingly black-box results. This means you can achieve the accuracy of the complex models, without sacrificing the explicability of traditional methods.

Unstructured dATA

unstructured-data

It is becoming increasingly important for businesses to tap into the potential of unstructured data. We are experienced with working on complex problems involving images, speech, and text.

We customize solutions that use both syntactic and semantic analysis, and our delivery team has successfully executed several projects involving Natural Language Processing, Sentiment Mining, and Text Classification.

We actively work with the latest and most sophisticated Machine Learning techniques to deliver these solutions. Our aim is to solve the unstructured data problems of the present and to continue exploring solutions for the unstructured data of the future.