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$12 USD / hour
Flag of INDIA
thodupuzha, india
$12 USD / hour
It's currently 5:47 PM here
Joined September 3, 2015
0 Recommendations

Sajil C.

@sajilck

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$12 USD / hour
Flag of INDIA
thodupuzha, india
$12 USD / hour
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I love to learn and solve problems every instant

I am a self taught programmer, with expertise in signal processing. I have never ending appetite to learn something new everyday. I love to get insights and solve problems everyday. I have more than 5+ years of experience in programming and scientific computation. I have completed my masters in Applied Electronics, currently pursuing PhD in audio signal processing. I am a Machine Learning Engineer Nanodegree holder. I am an active opensource contributor who would like to learn new things every second. My experience include high performance computing, scientific simulation, cracking and reproducing results from top journal papers etc. I prefer to work on projects requiring scientific computation, data science or machine learning. I am proud of my analytical skill which I sharpened over the years through my profession which I think will benefit for your projects. I put my good will and firm beliefs with you. Lets solve some big problems together :-))).
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Portfolio

3551931
ā—˜ Worked on low cost test strip for Glucose detection ā—˜ Designed and Coded image processing part
Glucose Detection using Image Processing
3551909
Collaborated work exploring and communicating modern noise cancellation techniques. Coded interactive demos which explains basic signal processing concepts. Technologies used: Ipython Signal Processing Git and Github
Active Noise Cancellation
3551900
Investigated the factors that affect a student's performance in high school. Trained and tested several supervised machine learning models on a given dataset to predict how likely a student is to pass. Selected the best model based on relative accuracy and efficiency. Analyzed using AdaBoost algorithm in IPython notebook. Coded more
Building a Student Intervention System
3551898
Reviewed unstructured data to understand the patterns and natural categories that the data fits into. Used multiple algorithms and both empirically and theoretically compared and contrasted their results. Made predictions about the natural categories of multiple types in a dataset, then checked these predictions against the result of unsupervised analysis.
Creating Customer Segments
3551896
Identified a relevant real-world problem to identify species of bird from its song, that can be solved using machine learning, and modeled it using techniques learned throughout the Nanodegree. This project was a Kaggle project. Presented the best solution achieved, discussed its strengths and weaknesses, and scope for future work.
Bird Species Identification from birds songs Prev MAY 2017
3551894
Applied reinforcement learning to build a simulated vehicle navigation agent. This project involved modeling a complex control problem in terms of limited available inputs, and designing a scheme to automatically learn an optimal driving strategy based on rewards and penalties.
Train a Smartcab to Drive
3551931
ā—˜ Worked on low cost test strip for Glucose detection ā—˜ Designed and Coded image processing part
Glucose Detection using Image Processing
3551909
Collaborated work exploring and communicating modern noise cancellation techniques. Coded interactive demos which explains basic signal processing concepts. Technologies used: Ipython Signal Processing Git and Github
Active Noise Cancellation
3551900
Investigated the factors that affect a student's performance in high school. Trained and tested several supervised machine learning models on a given dataset to predict how likely a student is to pass. Selected the best model based on relative accuracy and efficiency. Analyzed using AdaBoost algorithm in IPython notebook. Coded more
Building a Student Intervention System
3551898
Reviewed unstructured data to understand the patterns and natural categories that the data fits into. Used multiple algorithms and both empirically and theoretically compared and contrasted their results. Made predictions about the natural categories of multiple types in a dataset, then checked these predictions against the result of unsupervised analysis.
Creating Customer Segments
3551896
Identified a relevant real-world problem to identify species of bird from its song, that can be solved using machine learning, and modeled it using techniques learned throughout the Nanodegree. This project was a Kaggle project. Presented the best solution achieved, discussed its strengths and weaknesses, and scope for future work.
Bird Species Identification from birds songs Prev MAY 2017
3551894
Applied reinforcement learning to build a simulated vehicle navigation agent. This project involved modeling a complex control problem in terms of limited available inputs, and designing a scheme to automatically learn an optimal driving strategy based on rewards and penalties.
Train a Smartcab to Drive

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Experience

Research Scholar

University of Kerala
Feb 2014 - Present
ā—˜ Working on Active Noise Cancellation of acoustic noise of MRI scanner machine ā—˜ Coding and exploring Signal processing and Machine learning everyday

Summer Intern

UST Global
Mar 2017 - Apr 2017 (1 month, 1 day)
ā—˜ I worked on Generative Adverserial Networks(GAN) during my short internship here. ā—˜ Prototyped Simple GAN Neural Network

Summer Intern

InApp Inc.
Feb 2016 - Mar 2016 (1 month, 1 day)
ā—˜ Did Summer Internship as a part of research work ā—˜ Explored Web Development using Django Framework in Python

Education

Applied Electronics

Mahatma Gandhi University, India 2007 - 2009
(2 years)

Electronincs with Computer Hardware

Mahatma Gandhi University, India 2004 - 2007
(3 years)

Qualifications

Junior Research Fellowship

University Grants Commission, India
2012
It is a reputed National level test for eligibility for lectureship and research

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Top Skills

Python
Data Processing
Scientific Research
Algorithm
Web Scraping

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