Simmi Mourya

5.0

(4 reviews)

US$20.00

For every 15 mins

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ABOUT ME

GSOC, Deep Learning @ ESRI, GHC 2020

I I have six years of Python experience and three years of research experience in solving complex Deep Learning problems.

Ground Rules:

Payments will only be accepted via Codementor platform.
I will refund the amount if you are not satisfied.
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Hindi, English

Eastern Time (US & Canada) (-05:00)

Joined September 2015

EXPERTISE

Cython

2 years experience

I've been working with Cython since past two years. My major contributions go to Cyvlfeat library, which is a high performance Cython/Pyt...

I've been working with Cython since past two years. My major contributions go to Cyvlfeat library, which is a high performance Cython/Python wrapper around VLfeat computer vision library. Please find the project here: https://github.com/simmimourya1/cyvlfeat See the contributor network: https://github.com/menpo/cyvlfeat/network I have presented talks at various international conferences including Europython Italy 2017, Pycon India 2017, FOSSASIA Tech Summit Singapore 2017. Find links below: https://ep2017.europython.eu/conference/talks/scientific-computing-using-cython-best-of-both-worlds https://in.pycon.org/cfp/2017/proposals/scientific-computing-using-cython-best-of-both-worlds~aO5Qd https://2017.fossasia.org/tracks.html#2956

Python CythonHigh performance python

Python CythonHigh performance pythonScientific Computing Data ScienceOptimizationNumPy Scipy Computer Vision

Deep Learning

3 years experience

AI Deep Learning Neural Networks

AI Deep Learning Neural Networks Artificial Neural Networks Machine learning Data Science Kaggle Computer Vision PyTorch fastai

Python

6 years experience

Python 3 Python 2 Pandas

Python 3 Python 2 Pandas Python NumPy MatplotlibData science in python

Machine learning

1 year experience

I have a good experience of a lot of machine learning projects. I have been a part of 2 kaggle submission teams. One of my major submissi...

I have a good experience of a lot of machine learning projects. I have been a part of 2 kaggle submission teams. One of my major submission was for LUNA 2016, https://luna16.grand-challenge.org/. It is a Lung Nodule Analysis Challenge. Some of the major algorithms that I've used are XGBoost for nodule spiculation classification, ARIMA for time series forcasting etc.

Data modeling Shrine Machine learning

Data modeling Shrine Machine learning Data ScienceData science in pythonData Visualization NumPy MatplotlibTime series data

REVIEWS FROM CLIENTS

5.0

(4 reviews)

Daniel Levelev

February 2019

Simmi helped me outwith Pandas and Math/Stats vocabulary basics. Super well prepared and good explanations.

Kathya Pinos

February 2019

Simmi is great, she is very knowledgeable, experienced and patient at explaining how to solve my problems. She knows what she is doing!!

Abhijeet

January 2018

Great help, finished the given task on time and put in extra effort too.

Removed User

January 2018

Highly recommend! She is very knowledgeable about deep learning and has a superb organisation skill. You will be satisfied with the result.

SOCIAL PRESENCE

GitHub

pycon_india_17

slides for my presentation

Algorithms

All basic algorithms.

Python

Community Posts

Debug VLfeat’s Mex files in Visual Studio Community 2013 edition and Matlab release 2013a

It is highly recommended to go through this tutorial (http://in.mathworks.com/help/matlab/matlab_external/debugging-on-microsoft-windows-platforms.html?requestedDomain=in.mathworks.com) once. If...

EMPLOYMENTS

Deep Learning Engineer

Predible Health

2017-08-01-Present

Using Deep Learning and Cloud Computation to deliver radiology reporting on web browsers. Focus area: Developing data driven fully autom...

Using Deep Learning and Cloud Computation to deliver radiology reporting on web browsers. Focus area: Developing data driven fully automated deep learning engines to detect Lung Cancer and other related diagnostic features from Computed Tomography scans.

Python

Machine learning

Research

Python

Machine learning

Research

Neural Networks

Deep Learning

PyTorch

Medical imaging

Data Science intern

Pitney Bowes

2017-01-01-2017-06-01

Worked on Deep learning systems for image segmentation. Used Deep learning for parsing clothing in fashion photographs. Technologies used...

Worked on Deep learning systems for image segmentation. Used Deep learning for parsing clothing in fashion photographs. Technologies used: Caffe + Tensorflow

Python

Machine learning

Data Mining

Python

Machine learning

Data Mining

Deep Learning

Caffe

Keras

Mentor, Google Code-In

Mifos Initiative

2016-11-01-2017-01-01

Mentoring pre-university students to complete tasks related to Mifos community-app. https://github.com/openMF/community-app

HTML/CSS

Angular

Design

HTML/CSS

Angular

Design

Single-Page Applications

Mentoring

PROJECTS

Diagonal Sudoku Solver and Isolation solverView Project

Udacity AI nanodegree

2017

Diagonal Sudoku Solver: Implemented two extensions of our sudoku solver. The first one to implement the technique called "naked twins"....

Diagonal Sudoku Solver: Implemented two extensions of our sudoku solver. The first one to implement the technique called "naked twins". The second one to to solve a diagonal sudoku. Game playing agent for Isolation: Developd an adversarial search agent to play the game "Isolation". Isolation is a deterministic, two-player game of perfect information in which the players alternate turns moving a single piece from one cell to another on a board. Whenever either player occupies a cell, that cell becomes blocked for the remainder of the game. The first player with no remaining legal moves loses, and the opponent is declared the winner. These rules are implemented in the isolation.Board class provided in the repository.

Python

Game planning

Heuristic

Python

Game planning

Heuristic

HMM based Sign Language Recognition SystemView Project

Udacity AI nanodegree

2017

Built a system that can recognize words communicated using the American Sign Language (ASL). By using a dataset of tracked hand and nos...

Built a system that can recognize words communicated using the American Sign Language (ASL). By using a dataset of tracked hand and nose positions extracted from videos, I trained a set of Hidden Markov Models (HMMs) to try and identify individual words from test sequences. Incorporate Statistical Language Models (SLMs) that capture the conditional probability of particular sequences of words occurring. This helped me to improve the recognition accuracy of the system.

Python

Pandas

Computer Vision

Python

Pandas

Computer Vision

Speech Recognition

Data Science

Hmm