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followers: 12.0 following: 11.0 repos: 38.0 gists: 0.0

Name: Ankit

Type: User

Company: Genuin Inc

Bio: Data Scientist @genuin inc.

Twitter: desaiankitb

Location: Ahmedabad

Hi there, I'm Ankit Desai 👋

I am a Chief Data Product Officer at Genuin Inc. responsible for building an AI based consumer app platform. With over 15 years of industry, research, and academic experience, I specialize in areas like Machine Learning, Data Mining, Distributed Systems, Data Engineering, and Deep Learning across Supply Chain & Logistics, EdTech, AdTech and Academic Research industries.

Key Skills

Architecting the data science projects from the scratch to production
Product-driven Data Science
KRA/KPI driven deliveries
Leading a team of Data Scientists & Data Engineers (Execution & Delivery)
Team Building and People management (Hire, Keep and coach people to be their best)
Data Analytics
Mentoring
Research and Development
Applied Research
Stakeholder Management (Product, Business, Client)

Academic Qualification

Ph.D. from Ahmedabad University in 2020
M. Tech. Computer Engineering from Dharmsinh Desai University in 2012
B.E. Information Technology from Gujarat University in 2007

Experience

Chief Data Product Officer at Genuin Inc. (Apr 2023 - Present)
Director of Data Science at Locus.sh (Jul 2021 - Mar 2023)
Principal Data Scientist and Head of Applied Data Science at Embibe (Jul 2018 - Jul 2012)
Data Scientist at IQM Co. (Nov 2016 - Jun 2018)
Academic Research and Assistant Professor (Jul 2007 - Oct 2016)

Research Interests

Graph Mining
Mining Massive Data sets
Cost-sensitive Data Mining
Architecting the data science projects from scratch to production level

Achievements

Published multiple research papers in international conferences and journals
Served as a review committee member for conferences of ACM and IEEE

Values

I am a strong follower of values like Intellectually fierce, empathetically strong, vision-led, and closely knit.

Connect with me

Ankit 's Projects

aigrads

This is a niche collection of research papers which are proven to be gradients pushing the field of Natural Language Processing, Deep Learning and Artificial Intelligence

ajava

audio-capabilities

corejava

All Class Programs and Lab Programs are uploaded on this repository

course-name

cytoscape.js-spread

The speedy Spread physics simulation layout for Cytoscape.js

desaiankitb

duckduckgo_search

Search for words, documents, images, videos, news, maps and text translation using the DuckDuckGo.com search engine. Downloading files and images to a local hard drive.

ethereum_future

This is the Code for "Ethereum Future Prices" by Siraj Raval on Youtube

fastbook

The fastai book, published as Jupyter Notebooks

google-trends-parser

greenscreen-video

image-capabilities

intro-to-git

learn github step by step

intro_nltk_nlp

Introduction to NLTK library and NLP

keras_deep_learning_apps

Keras is a popular programming framework for deep learning that simplifies the process of building deep learning applications. Instead of providing all the functionality itself, it uses either TensorFlow or Theano behind the scenes and adds a standard, simplified programming interface on top. In this repo, code shows how to install Keras and use it to build a simple deep learning model. Explore the many powerful pre-trained deep learning models included in Keras and how to use them. Discover how to deploy Keras models, and how to transfer data between Keras and TensorFlow so that you can take advantage of all the TensorFlow tools while using Keras. You'll be ready to start building and deploying your own models with Keras.

list_comprehension_demo

nvidia

openai-dell-e-image-generator

openai-news-summary

openai-quickstart-python

Python example app from the OpenAI API quickstart tutorial

pass

qtpass password store

prompt-engineering

python-for-data-science-essential

By using Python to glean value from your raw data, you can simplify the often complex journey from data to value. In this repo you will see, with hands-on examples, learn how to use Python for data preparation, data munging, data visualization, and predictive analytics.

pytorch-basics

rasa-site-bot

A chatbot that fetches events details from a conference's website

readml-2021

rvc-sagemaker

sdxl-turbo

spark-mllib

Apache Spark is one of the most widely used and supported open-source tools for machine learning and big data. In this repo, discover how to work with this powerful platform for machine learning. This repo discusses MLlib—the Spark machine learning library—which provides tools for data scientists and analysts who would rather find solutions to business problems than code, test, and maintain their own machine learning libraries. Repo shows how to use DataFrames to organize data structure, and covers data preparation and the most commonly used types of machine learning algorithms: clustering, classification, regression, and recommendations. You will have experience loading data into Spark, preprocessing data as needed to apply MLlib algorithms, and applying those algorithms to a variety of machine learning problems.