Engineer Data

Summary Experienced in developing machine learning models for text and image classification.

Analyzed data from various sources like twitter, journal’s abstract, MNIST etc.

I have strong analytical skills, creative mindset to solve problems and good communication.

Education McGill University, Canada Sept 2013 – Dec 2015

M.Eng, Biomedical Engineering.

Specialized in Machine Learning, Handling Big Data and Signal Processing & Analysis.

Also experienced in Hadoop, MapReduce and Data Structure Algorithms.

National Institute of Technology, India Aug 2007 - May 2011

B.Eng with Distinction, Biomedical Engineering.

Experience Intern, True Positive Medical Devices, Quebec City, Canada Dec 2015 – Jan 2016

Implemented image processing machine learning techniques to detect anomalies.

Developed UNIX script for executing image analysis algorithm pipelines.

Graduate Research Assistant, McGill University Jan 2014 – Nov 2015

Developed a brain signal mapping software.

Developed clustering & statistical correlational model to classify signals.

Research Engineer, SCTIMST, India Jun 2011 – Aug 2013

Analyzed physiological data by signal processing and machine learning techniques.

Developed algorithms and mathematical models of utilizing big data sets.

Projects Applied Machine Learning & Data Analysis Projects June 2014 - Present

Designed a probabilistic classifier to solve a NLP problem by finding puns in texts using NLTK in Big Data Week Hackathon

Predicted the relevance of search results from eCommerce sites using scikit-learn SVM (Support Vector Machine) with Quadratic Weighted Kappa parameters.

Predicted industrial pipe prices using xgboost Gradient Boosted Decision Trees.

Determine the ICU mortality rate using a gaussian model with logistic regression predictor (Xerox Research Innovation Challenge 2015).

Improved yelp restaurant review by adding health inspection scores using Naive Bayes.

Classified MNIST handwritten data with noise (texture) using Neural Networks & SVM.

Analyzed Twitter sentiments by calculating a sentiment score for the entire tweet & for individual keywords.

Implemented MapReduce algorithms on text data.

Analyzed San Francisco crime data using matplotlib and ggplot2 to determine the area and the duration of the most prominent crime.

More projects at github.com/NiladriMohanty

Tech Skills Python, Java, MATLAB, SQL, MapReduce, Hadoop, R, Unix Scripting, Git, Linux, OS X.

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