R, Python, Matlab,Data analyst, Predictive Modelling, Machine learning

Shashidhara KC

**, ******** ****** ******** *******: 074********

Leicester, UK, LE2 7DB Email:*************@*****.***

Profile Summary

* ***** **** ********** ** computing (machine learning, data analytics, predictive modeling)

and trading in financial instruments.

Ardent to apply machine learning techniques to domains such as finance, image/video

analysis, augmented reality (AR), natural language processing, sound analysis and data mining.

Developed a predictive model in R to forecast future evolution of stock index.

Classification of speech signals in Matlab using Artificial neural network and Mel frequency

cepstral coefficients, to build Speech recognition system (SASSY).

Gesture analysis of musical data in Matlab, Research and development.

Prognosis of T+1 closing value of index and index based scripts in Matlab, Artificial neural

network and Type 2 fuzzy logic models.

Technical skills

Programming language: Python, C++. Statistical and others: R, MATLAB, GNU Octave

Logic Programming: Prolog, Clips

Machine learning: Predictive modeling, Data Analytics, Machine learning, Artificial Intelligence

Operating system: Linux, MAC, MS Windows

Industry experience

De Montfort University, Projects @ DMU Leicester, United Kingdom

Speech recognition (SASSY): Programmer June 2013 – July 2013

Design and developed an Artificial Neural network to classify and recognize the input signals,

using Mel Frequency Cepstral Co efficients (MFCC).

Data of over 100 plus community, each with 24 different inputs.

Fundamental analysis of the AIFF signals in MAT LAB.

Edit and catalog the WAV signal using Final cut pro and Logic pro, Data processing and

warehousing.

Index forecasting in R:

Developed an R script to determine the future evolution of the stock index, based on models

obtained with historical quotes data, Time series analysis.

Incorporated trading system that generates its decisions based on the predictions of the

model, based on behavior X followed by behavior Z.

Techniques used to build/test the models Support vector machines, Artificial neural network

and Multivariate adaptive regression splines.

Model can be tailored to analyze other index/scripts with minimal modifications.

Musical gesture analysis (MATLAB, Python):

Identification of emotional performance from physical gestures alone. Investigation on the

relationships between the emotion that is conveyed and any physical gestures that occur.

Establish gesture types, Relationships with the gestures and the audio outp ut or musical

content of the performance.

Classification of gestures.

Using K means algorithm, spectrogram analysis, Spearman rank correlation for performance.

Gait analysis: Kinetic and kinematic analysis. Pro tools: frequency displacement analysis.

Motilal Oswal Securities ltd(Franchise) India, December 2010 – August 2012

Forecasting of index and index based scripts:

Developed Artificial neural network and fuzzy logic (Type 2), in MATLAB, to forecast the closing

value of the index for T+1 day.

Train network on diverse framework / guide line, Use as a guide for better trading decisions

and advice the client using the same

Suggest various index option strategies for High net worth clients. Conducted and facilitated

trainings and development of the business personal.

Prepared and reviewed new proposals for portfolio. Provided optimal level of customer

services.

Organized and supervised franchisee activities. Interview, hire, and train new dealers for

franchise.

Share Khan limited, HNI Stockbroker India, March2010 - October 2010

Oversee portfolio of 18 High net worth (HNI) clients.

Prepare and presented various Index option strategies for clients.

Consistent performance, Organized seminars, training and classes to help HNI use the software

better and help make higher profits to clients.

India Investment Advisors, Stockbroker India, November2008 - February 2010

IBM India Private Limited, System Operator India, September 2008 - November 2008

Education

MSc. Intelligent systems and Robotics @ De Montfort University June 2014, Expected

Relevant courses: Evolutionary computing, Artificial neural network, Fuzzy logic, Prolog, Artificial

Intelligence (AI) Programming, Applied computational intelligence, Intelligent mobile robots.

Bachelor of Engineering Instrumentation technology: Visvesvaraya Technology University July 2008

Certification

The Analytics Edge - Massachusetts Institute of Technology x, edx.org. 2014

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