Dr Kannan Balakrishnan
Consultant (Senior Data Scientist & Analyst) at Forecast- Claim this Profile
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Bio
Credentials
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IBM Recognized Teacher/ Educator
IBMJan, 2020- Nov, 2024 -
Watson Discovery Foundations
IBMJan, 2020- Nov, 2024 -
Watson Knowledge Studio Methodology
IBMJan, 2020- Nov, 2024 -
Data Science Foundations - Level 1
IBMJan, 2019- Nov, 2024 -
Enterprise Design Thinking Practitioner
IBMJan, 2019- Nov, 2024
Experience
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Forecast
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Australia
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Information Services
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1 - 100 Employee
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Consultant (Senior Data Scientist & Analyst)
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Apr 2021 - Present
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Senior Data Scientist & IT Management Cosultant
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Oct 2018 - Present
• Building and analysing ML models & AI algorithms to solve industrial problems in SPSS & Watson studio platforms. Some projects I have involved in o Surveillance & Fraud Detection for banking applications. o Modelling spatial-temporal data in oil/gas companies to optimize the efficiency of their operations. o Developing recommender systems to identify risk priority levels of vendors and suppliers in Government sectors. o Building deep learning models for object detection and classification for aerial image data o Setting-up NoSQL databases (MongoDB, Cassandra, Redis) for handling unstructured data o Setting up data security and governance processes • Conduct workshops to identify client’s pain points and to design use cases/models to solve their problems. • Participate in various IBM enablement programs to learn about new technologies/tools related to data science applications. • Help mangers in the creation of SOWs or in project planning and assist other data scientists/engineers.
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Data Scientist
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Apr 2018 - Sep 2018
• Analysing large amount of spatial, time and frequency domaindata and modelling physiological events faced by fighter jets pilots. • Implemented several python scripts to clean, pre-process and transform data collected during the fight jet missions for storage and data analysis. • Developed a data base to store non-uniform and unstructured data from multiple sources associated with various flight missions. • Used exploratory, cross-correlation and advanced clustering techniques to identify patterns in the data to predict harmful physiological events. • Developed various time -synchronization and resampling schemes to align data for analysis and modelling. • Setting up dash board for visualizing and presentations and writing high quality reports for middle and high level management presentations. • Working on various modern methodologies in dimension reduction to handle large feature space and to build a parsimonious s model for root-cause analysis and prediction of rare physiological events.
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Senior Algorithmic Engineer
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Jun 2017 - Mar 2018
• Analysed large set of image data to extract various patterns and empirical relationships in wavelet transform domains and developed context-based predictor models to improve the coding efficiency of the entropy coders (M-Coders, binary arithmetic coders). • Applied modern machine learning schemes such as Convolutional neural networks (CNN), logistic regression, SVM etc. to build various predictor models in wavelet transform domain. • Worked on various Embedded Video Coding Algorithms(Matlab/C++): EZW, SPIHT, EBCOT, SPECK • Designed a new architecture to improve the compression Rate of SPIHT algorithms used in the current Video Codec standards. • Researched into various quantization and rate-distortion based optimization schemes to improve the compression rates in the current video codec standards: MPEG, H.264, HEVC etc.
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Minerva Capital Partners Pty Ltd
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Australia
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Financial Services
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1 - 100 Employee
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Director of Research
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Dec 2015 - Dec 2016
• Built an Automated Daily Trading Strategies for Equity Markets o Dual Class Shares/ADRs of Asian and European countries • Working towards implementing a statistical arbitrage system for Equity /Futures markets • Implemented tick/interval databases for Equity/Futures Market data. • Planning to implement an automated trading platform to trade futures/equity markets. • Help CEO/directors in the planning of future research directions and staff resourcing. • Built an Automated Daily Trading Strategies for Equity Markets o Dual Class Shares/ADRs of Asian and European countries • Working towards implementing a statistical arbitrage system for Equity /Futures markets • Implemented tick/interval databases for Equity/Futures Market data. • Planning to implement an automated trading platform to trade futures/equity markets. • Help CEO/directors in the planning of future research directions and staff resourcing.
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Verifone
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United States
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Financial Services
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700 & Above Employee
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BA
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2015 - Nov 2015
• Developing QA Framework for Australian Design Centre o Stream lining existing SDLC QA Framework to improve efficiency, reliability and performance o Developing a Software Release Management System • Prepare Functional Specification documents for various Terminal (Payment) applications. • Help to improve the efficiency of production data base and servers. • Implementing Project Management System (PlanView) and help directors in resource allocations and in generation of weekly project reporting. • Designing Internal Documentation Management System
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Quantitative researcher & Developer
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Jan 2013 - Oct 2015
Develop Statistical Arbitrage Strategies for equity and FX markets. Develop Statistical Arbitrage Strategies for equity and FX markets.
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Senior Research Scientist
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Sep 2013 - Apr 2014
R&D activities in virtual currencies(bitcoin): operational risk modeling, new contracts and derivatives for bitcoin markets. Building an exchange platform for trading bitcoin and bitcoin related investment products. R&D activities in virtual currencies(bitcoin): operational risk modeling, new contracts and derivatives for bitcoin markets. Building an exchange platform for trading bitcoin and bitcoin related investment products.
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Portfolio Manager
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Apr 2012 - May 2013
Designed a pattern based (swing chart, candle sticks) automated trading system for Asian equities and FX. Designed a pattern based (swing chart, candle sticks) automated trading system for Asian equities and FX.
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Associate
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Feb 2006 - Dec 2011
Research and Develop trading systems for futures market. Carry out extensive back testing. Time series modeling/Bayesian Vector autoregressive(multivariate regression) modeling. Portfolio construction and optimization. Risk modeling and analysis. Bayesian modeling and parameter estimation, and Kalman filtering. Macro modeling, fixed income and interest rate modeling and forcasting. Stochastic calculus. Research and Develop trading systems for futures market. Carry out extensive back testing. Time series modeling/Bayesian Vector autoregressive(multivariate regression) modeling. Portfolio construction and optimization. Risk modeling and analysis. Bayesian modeling and parameter estimation, and Kalman filtering. Macro modeling, fixed income and interest rate modeling and forcasting. Stochastic calculus.
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Scientist
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Feb 2000 - Apr 2005
Work on various wireless communications research projects: MIMO, UWB systems, OFDM, Convoluitonal/Turbo coding. Contribute to the IEEE standardization process Teaching and superivising MSc and PhD students. Publish research outcome in journals and conferences. Work on various wireless communications research projects: MIMO, UWB systems, OFDM, Convoluitonal/Turbo coding. Contribute to the IEEE standardization process Teaching and superivising MSc and PhD students. Publish research outcome in journals and conferences.
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Electronic Engineer
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Feb 1995 - Sep 1996
Worked on the design of pagers for Japanese markets. Supervising technicians. Analysing and solving technical issues during the production. Worked on the design of pagers for Japanese markets. Supervising technicians. Analysing and solving technical issues during the production.
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Education
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University of Cambridge
PhD, Signal Processing -
Univerisity of Sydney, Australia
BEng (1st class Hons), Information Systems