Hemen A. Profile

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$45 USD / hour

ahmedabad,

india

$45 USD / hour

It's currently 10:29 AM here

Joined May 10, 2019

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Hemen A.

@HemenAshodia92

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(0 reviews)

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$45 USD / hour

ahmedabad,

india

$45 USD / hour

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Data Scientist | Artificial Neural Network Expert

Working since 10+ years with companies like: - Johnson & Johnson - Data Science (Top Fortune 50 Company) - Ever AI (Backed by "Khosla Ventures") - Cruxbot (Acquired by "Intel") - Remarkin E-Learning Pvt. Ltd (Backed by "Standford University" and "Venture Studio") - Artudata (Digital Marketing Management Dashboard) - Medlex (Legal And Medical Management) I am experienced in the field of Data Science, Machine Learning and Full Stack Web Development. My specialty is producing novel algorithms in the field of machine learning and data structures. I particularly enjoy solving problems with applied machine learning, Bayesian inference, spatial analyses, predictive analytics, and deep learning, natural language processing. Some of my novel work includes: - Fx Optimizer - Fx ERP - F(x) Data Cloud - H+Tree - K-means Cluster - An AI-powered automatic marketing campaign - Conversion Funnel Prediction

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Portfolio

5073818

h+Tree - 300% faster index technology

5073810

This video gives us a demo of the performance of the h+Tree algorithm.

The benchmark is performed over 1 million random records of key-value pairs. h+Tree is shown to work at 3 times more speed in comparison to that of the B+Tree algorithm.

h+Tree vs B+Tree Benchmark

5073771

F(x) Data cloud

5073818

h+Tree - 300% faster index technology

5073810

h+Tree vs B+Tree Benchmark

5073771

F(x) Data cloud

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Experience

F(x) Data Labs Pvt Ltd

Dec 2015 - Present

At F(x) Data Labs Pvt Ltd, I invented the fastest data retrieval algorithm h+ tree, which is supposed to speed up the databases up to 300% increasing the capacity of the data server up to 3 times compared to the existing B+Tree.

Johnson & Johnson - Data Science

Sep 2018 - Nov 2018 (2 months, 1 day)

At Johnson & Johnson, I worked as a Machine Learning expert and created data pipelines that used millions of data points, for the identification of the best strategies to increase the effectiveness of professional educational events.