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Navin Manaswi

Artificial Intelligence Architect at SymphonyAI

Bangalore, India

Solving B2B problems in HRTech, Healthcare, Retail and ITSM in SymphonyAI Incubator (www.symphonyai.com) having 1 billion dollar committed fund.

Artificial Intelligence expert who loves to solve problems of Video intelligence, document intelligence, Chatbots and Blockchain.
www.NavinManaswi.com

Author of the book : Deep Learning with Applications Using Python: Chatbots and Face, Object, and Speech Recognition With TensorFlow
Developed AI solutions using distributed computing and cloud computing (pySpark, SparkML, SparkSQL on Azure)
Expert in ML, DL and NLP tasks
Expert in implementing biLSTM, word-embedding, GAN, FCN and autoencoders using TensorFlow and Keras

Proficient in knowledge graph, Ontology, KG embedding, relations embedding, NER, Document database and graph database
Proficient in Distributed Deep Learning and Machine Learning on local machine, Azure DataBricks, HDInsights
Proficient in Azure Data Factory, data lake, Jenkins, DataBricks, Kubernetes, Dockers and Containers.
Proficient in Azure CosmosDB, MongoDB, DataLake and WebApps
Building the team of top AI researchers
Delivered successful Enterprise AI solutions.
Building a new vertical of AI powered hiring
Built AI solutions for giant Retail and ITSM
Executed Deep Learning and Distributed Deep Learning applications in
1. Cancer Data Research (Oncology Stage Prediction, Curation as a Service)
2. Retail Predictive Analytics and Optimization ( using 1.5 Billion transactions)
3. Semantic search and ranking using phrase embedding for HR tech
4. Telecommunications Analytics (Dynamic Clustering and Classification for automatic ticket generation)
5. ITSM chatbot that raises and solves ticket automatically
6. Speaker Identification and speech to text and elastic search for video intelligence
7. Semantic segmentation to automate the visual search

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Recognized as one of top 10 data scientists of India
Published 4 articles on Data Science in different magazines

Available For: Authoring, Consulting, Influencing
Travels From: Bangalore

Navin ManaswiPoints
Academic5
Author48
Influencer16
Speaker6
Entrepreneur40
Total115

Points based upon Thinkers360 patent-pending algorithm.

Thought Leader Profile

Portfolio Mix

Company Information

Company Type: Enterprise
Business Unit: Artificial Intelligence, Data Science, Deep Learning, Enterprize Solutions

Areas of Expertise

AI 50
Analytics
Autonomous Vehicles
Big Data 40.03
Cloud 30.56
Customer Experience
Digital Disruption
Edtech 32.92
Fintech
Healthtech
Innovation
Leadership
Lean Startup
Predictive Analytics 47.67
Startups 52.58
Supply Chain 31.30
Emerging Technology 31.42

Industry Experience

Engineering & Construction
Financial Services & Banking
Healthcare
High Tech & Electronics
Insurance
Media
Pharmaceuticals
Retail
Telecommunications

Publications

8 Article/Blogs
reinforcement-learning-approaches-
LinkedIn
December 01, 2018
reinforcement-learning-approaches-beginners

See publication

Tags: AI, Predictive Analytics

Reinforcement Learning Approaches for beginners
linkedin
November 14, 2018
In a series of continuous improvement in RL, we have moved from Q-learning to SARSA to Deep Q Network (DQN) to DDPG. Q-learning lacks generality and is off-policy algorithm. SARSA is on-policy algorithm but lacks generality. To solve generality issue, deep neural networks, better known as DQN, is used to get Q value and hence it gives Q value for unseen cases. It works well when we have small/discrete action space.

See publication

Tags: Cloud

Deployment of an Application that uses Cognitive Services on Cloud
linkedin
November 05, 2018
Steps:-
Create a new resource group to keep all services together
Create a Cognitive API account ( Computer Vision Service)
Create a new DocumentDB account(DynamDB/CosmosDB/MongoDB)
Create a database and collection in DocumentDB

See publication

Tags: Cloud

Getting started with Keras
linkedin
June 24, 2018
In this blog, we will discuss flexibility of using Keras and get our hand dirty by building a simple CNN model. Keras is high level python library for building networks in deep learning. Keras runs on the low level deep learning library such as “TensorFlow”, “Theano” and “CNTK”. Keras is easy to use and simple in implementation. There are two kinds of frameworks for building models: sequential API and functional API. We will discuss how to deploy Sequential API of Keras.

See publication

Tags: Cloud

Face Detection and Recognition
linkedin
May 28, 2018
AI is changing the world by its application in real-world. In the field of Face detection AI has done remarkable job. You have seen Facebook tagging, Instagram face decoration, Even it can be seen on your Smart-Phone(i.e, Camera displaying your age) and google image search engine are the example.

See publication

Tags: AI, Emerging Technology

Speech Intelligence for Dummies
linkedin
March 19, 2018
The first step while making any automated speech recognition system is to get the features. In other words, identifying the components of the audio wave that are useful for recognizing the linguistic content and deleting all the other useless features that are just background noises is the first task.

See publication

Tags: AI

how-develop-face-recognition-system-deep-learning-navin-manaswi/
LinkedIn
February 01, 2018

See publication

Tags: AI

top-big-data-trends-in-india-interview-with-a-data-scientist/
https://bigdata-madesimple.com/
April 22, 2015
Interview that discusses the trends in data science

See publication

Tags: AI, Predictive Analytics, Supply Chain

1 Book
Deep Learning with Applications Using Python: Chatbots and Face, Object, and Speech Recognition With TensorFlow and Keras
Apress Publication, Springer
April 01, 2018
Deep Learning with Applications Using Python: Chatbots and Face, Object, and Speech Recognition With TensorFlow and Keras

See publication

Tags: AI, Big Data, Startups

1 Entrepreneur in Residence
Co-founder and Chief Data Scientist at https://www.mantra.ai/
Mantra AI
February 01, 2017
I co-founded Mantra AI and was a chief data scientist

See publication

Tags: AI, Startups

1 Influencer Award
Interview with Chief Data Scientist
digitalvidya
October 15, 2017
Interview with Chief Data Scientist

See publication

Tags: AI, Predictive Analytics, Startups

2 Media Interviews
Cognitive Computing Webinar on Udacity
Udacity
August 23, 2017

See publication

Tags: AI, Big Data, Predictive Analytics

Trends in Big Data and Data Science
Big Data Made Simple
August 22, 2015
Interview on trends in Data Science and Big Data

See publication

Tags: AI, Predictive Analytics, Supply Chain

2 Speaking Engagements
Deep Learning with TensorFlow Workshop on DataHack
AnalyticsVidhya
November 11, 2017

See publication

Tags: AI, Emerging Technology

Deep Learning Talk
IIT Madras, Chennai
September 24, 2017
Giving a lecture in IIT Chennai on Machine Learning/Deep Learning Applications

See publication

Tags: AI, Edtech, Predictive Analytics

1 Visiting Lecturer
Machine Learning Applications
Department of Physics, IIT Madras
September 24, 2018
Machine Learning Applications specially for Basic Sciences

See publication

Tags: AI, Predictive Analytics

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Navin Manaswi