Ankit Dixit

Published Author| Data Scientist | Deep Learning | Machine Learning | Computer Vision

Mumbai, Maharashtra, India

Aditya Imaging Information Technologies

500.1 /30mins

Short Biography

Hi I am Ankit Dixit a data scientist, an author and a computer vision specialist. Currently I am working as Imaging Scientist(Sr.Image algorithm developer) in Aditya Imaging and Information Technologies L.L.P(Sun Pharma),Mumbai, having hands on experience on various image processing technologies such as Object Detection/Classification, Pattern Recognition, Color and Texture based Segmentation of Histopatholgical images. I am a published author of a book "Ensemble Machine Learning"; which deals with conventional and modern day machine learning algorithms. This books covers almost all the important aspects of ensemble ML algorithms such as Bagging, Boosting and Stacked generalizations; this book covers many ML algorithms start right from Decision trees, Random Forest, Adaboost, Gradient Boosting to Stacking of different algorithms such as Logistic Regression, Perceptron and Support Vector Machines; all the codes of mentioned algorithms had written from scratch in Python without using any ML library; so readers can implement these algorithms by themselves to get in-depth understanding of the topics. Other than Core image processing domain, I have also experience in some Computer Vision tasks such as Pedestrian Detection, Face detection and recognition, OCR technology, Object detection and tracking algorithms. I have experience of using various Machine Learning models and algorithms such as Linear Regression, Logistic Regression, Artificial Neural Nets, Convolution Neural Nets (Deep Learning), I have developed Machine Learning tool in MATLAB environment independent of MATLAB's Machine Learning tool. I have experience of algorithm development (Image Processing) for Parallel Processing architecture such GP-GPU using CUDA. i have developed various image processing algorithm which can be easily portable to Parallel processing architecture.

Experience

Sr. Data Scientist (Imaging), Aditya Imaging Information Technologies

Nov 2012 to Present

Data Scientist (Imaging) for Histopathological Images Analysis. Project- iADSS (Image analysis & Decision Support System). Technology Involved: Pattern Recognition, Segmentation Algorithms, Predictive Modelling, Machine Learning. Responsibility: Research and implementation of Algorithm for Detection of Various feature in different organs. Research and implementation of the classification techniques to classify Images as Normal and Abnormal. Research on implementation of the Algorithms to port on GPGPU; Description: iADSS is toxicological analysis system made for pathologists to digitize, automate and speedup certain aspects of drug discovery life cycle. This software consist various modules including Digital Microscopic slide visualize, image processing Engine, AI engine (for Object Extraction), etc. Other than Core image processing domain, I have also experience in some Computer Vision tasks such as Pedestrian Detection, Face detection and recognition, OCR technology, Object detection and tracking algorithms, Gesture based Human computer interection. I have experience of using various Machine Learning models and algorithms such as Linear Regression, Logistic Regression, Data Clustering, High Dimension data visualization/dimension reduction, Artificial Neural Nets, Convolution Neural Nets (Deep Learning), I have developed Machine Learning tool in MATLAB environment independent of MATLAB's Machine Learning tool. I have experience of algorithm development (Image Processing) for Parallel Processing architecture such GP-GPU using CUDA. I have developed various image processing algorithm which can be easily portable to Parallel processing architecture.

Education

Master of technology, DAVV, Indore

May 2010 to May 2012

Specialization in Machine learning and Computer Vision.

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