Dr PURUSHOTTAM HOOVAYYA

email:| pursh2002@gmail.com

Phone:| +919945311715

  • Healthcare business understanding

  • Data understanding

  • Data importing

  • Data cleaning and manipulation Statistical modelling and manipulation Reporting and visualization

  • Deep learning

Skill Sets

Analytics Tools:| R, Excel, SAS, STATA, Apache Hadoop (HDFS, Map Reduce, Pig, Hive, HBase), Microsoft Azure Machine Learning, KINME

Languages:| Python, R, SQL

Libraries:| Pandas, NumPy, Scikit, Scipy, matplotlib, ANN

Web Scraping:| Selenium, Beautiful Soup

Database:| SQlite, mysql

Web technologies:| html, flask, css, hugo, javascript

Analytics Skills:| familiar with Text Analytics, Machine Learning Algorithms (scikit-learn, ANN), linear regression, logistic regression, K-NN, Naive Bayes, Decision Tree, SVM, Random Forest, NLP, text analytics, clustering, Statistical Modelling, Exploratory Data Analysis, Deep Learning techniques

Education

  1. MD in - Hospital Administration​ (Sep 1999-Dec 2002)​ ​Kasturba Medical College, Manipal University, India (Hospital Administration Residency)
  2. MBBS ​(Bachelor of Medicine and Bachelor of Surgery, Jan 1992 to March 1998) BLDEA Medical College and research centre, Bijapur, Karnataka University, India (Graduate Medical Training – MD)
  3. Masters Health Informatics​ completed (21 credits) (September 2008 to June 2009), Dalhousie University, Halifax, Nova Scotia Canada
  4. Data Science & engineering full-stack Boot camp​ at Byte Academy, Bangalore (2017)
  5. Professional Development: completed 25 certifications towards Data Science through ​edx and coursera (​Analytic edge, Sabermetrics, querying with transact sql​,​ big data tools, stats, Quantitative Methods in Clinical & Public Health Research (Using STATA), Python, r​, ​SQL server 2008,​ ​c#​, ​SAS etc)

Work Experience

  1. Assistant Professor & Dy. Medical Superintendent AIIMS Bathinda - Present
  2. Healthcare Data Science, Medical Advisor/Hospital Consultant/ Entrepreneurship - School of Med AI, AI without Border
  3. Assistant Professor​, Department of Hospital Administration, Kasturba Medical College, Manipal University; current, April 2018 to April 2019
  4. Medical Superintendent​, Panacea Hospitals Bangalore, December 2016 – April 2018
  5. Assistant Professor & Head Quality, Qassim University Ministry of Higher Education, Saudi Arabia, November 2013- August-2016 (3 years)
  6. Assistant Professor​ Department of Hospital Administration, Kasturba Medical College, Manipal University, December 2011 - November 2013 (2 years)
  7. Assistant Medical Superintendent​ ​& Assistant Professor​, Department of Hospital administration​ ​Father Muller’s Medical College & Hospital, Mangalore, July 2011 - November 2011 (5 months)
  8. Deputy Medical Superintendent​ ​& Assistant Professor,​ Yenepoya Medical College Hospital, Mangalore, India, January 2010 - May 2011 (1year & 5 months)
  9. Asst. Director Hospital Services​ ​& Assistant Professor​ at KLE University’s Prabhakar Kore Hospital & Research centre Belgaum, (3 years 9 Months)

Academic Projects:

● Image classifier​ with keras-flask-deploy-webapp

● Built 3 different types of regression lines to predict stock prices using Python

● Built a logistic regression model using Scikit-learn to predict fraudulent transactions by training it on ​this kaggle dataset.

● Built an Automated Diagnosis Model ‘inception v3’ image classifier on the pneumonia dataset

● Built a web app of Skin disease prediction which could classify three skin diseases as a team project

● Used Tensorflow+Keras to create a Generative Adversarial Network on Fashion MINIST dataset, to generate novel fashion images

● Build a neural network using numpy to classify plant images into 4 different classes from a dataset of Soybean crops-Plant Analysis

● Created a helpdesk agent using Dialog Flow and BigQuery.

● Created a DQN agent using Keras to master the ‘cartpole environment’. to understand how reinforcement learning works

● Guided Project: Profitable App Profiles for the App Store and Google Play Markets(Analysed Mobile data, exploring the data, deleting wrong data, removing duplicate entries,determine Common Apps by Genre, calculating the average number of installs for each app genre)

● Guided Project: Exploring Hacker News Posts

● Guided Project: Exploring Ebay Car Sales Data(Initial exploring and cleaning, exploring price and date time

● Participated in fastai guided project on dog breed ​Identification​ in Image problem (Python)

● Participated in Kaggle competition as fastai project on Plant Seedlings Classification in Image stood 536 out of 838 participants (Python)

● Machine Learning technique to predict Breast cancer using scikit learn

● Machine Learning technique to predict stock prices using ANN

● Optimisation Techniques to Schedule Hospital Operating room

● Exploratory data analysis using Pandas Olympic datasets, census data sets

● Web scraping using selenium & beautiful soup: Developed web scraper that can scrape the video lectures, audio transcripts, and text transcripts

● Extract Transform Load using python: Developed a Terminal Trader game using MVC(Model-ORM-Controller) design in Python

● Participated in Kaggle competition as course requirement for MIT’s Analytic edge to predict which iPads listed on eBay will be sold stood 827 out of 1885 participant (R Programming)

Project links

● https://github.com/pursh2002

● https://github.com/pursh2002/Machine-learning-with-Siraj-Raval-sept-2019..-Dr-Purshottam

● https://github.com/pursh2002/mlcourse.ai-September-2-2019 https://github.com/pursh2002/byteacademy-projects

● https://github.com/pursh2002/Study-Group-AI-deeplearning-Saturday-by-Nurture.AI-2018

● https://www.kaggle.com/pursh2002

● https://www.datacamp.com/profile/pursh2002-4affb5b4-a6ec-482c-9dd5-2ca4b67ca833

● https://courses.edx.org/u/Pursh

● https://www.linkedin.com/in/dr-purshottam-kh-bb1545a/

● https://www.datacamp.com/profile/pursh2002-4affb5b4-a6ec-482c-9dd5-2ca4b67ca833

● https://www.freecodecamp.org/pursh2002

● https://www.coursera.org/accomplishments

● https://courses.edx.org/u/Pursh

● https://app.dataquest.io/profile/pursh2002

● https://www.hackerrank.com/pursh20021

Professional Development (Research Certifications)

● Data Cleaning in Python: Advanced Course​ ​@dataquest.io 2020

● Pandas and NumPy Fundamentals Course​ ​@dataquest.io 2020

● Participated in Making Money with Machine learning a 10 week program under Siraj Raval 2019

● Participated in ​mlcourse.ai-September-2-2019 3 months program

● Day 3 of ML Bootcamp 2019 organised by DatumGuy online

● National Level conference- HALO- 2019, A.J. Shetty Medical college, Mangalore 2019

● ​Attended workshop on image processing conducted at MIT Manipal organized by by Fulbright scholar program and Manipal institute of technology 2019

● Certificate of Appreciation for speaking on “AIMS and Objectives” in the research workshop organised by research cell, KMC, Manipal

● Data Cleaning and Analysis Course​ ​@dataquest.io 2019

● Storytelling Through Data Visualization Course​ ​@dataquest.io 2019

● Exploratory Data Visualization Course​ ​@dataquest.io 2019

● ​Python for Data Science: Intermediate Course​ ​@dataquest.io 2018

● Python for Data Science: Fundamentals Course​ ​@dataquest 2018

● Python Programming: Beginner Course ​​Course ​@dataquest.io 2018

● Attended a AI Saturday Boot camp on deep learning @ nurture.ai @Bangalore 2017

● Byte Academy full stack data engineering Boot camp four months 2017

● Machine Learning with Big Data @ University California, Coursera, April-May 2016. https://www.coursera.org/account/accomplishments/certificate/DHPTSVMLTZZX

● ​Introduction to python for Data science @ Microsoft edx April 2016

● Introduction to Big Data Analytics ​​part of Big Data Specialization @ UC San Diego Coursera, Dec 2015 grade

● Hadoop Platform and Application Framework​​, part of Big Data Specialization @ UC San Diego Coursera, November 2015. https://www.coursera.org/account/accomplishments/certificate/DZETRSQ86CBK

● ​Introduction to Big Data Analytics ​​@ University California, San Diego September 2015.​https://www.coursera.org/account/accomplishments/certificate/RQW86AJU8JJ4

● Data Science and Machine Learning Essentials ​​@ Microsoft: DAT203x edx October 2015,​https://courses.edx.org/certificates/f3b67412eba9451e9005b27653bbf7b0

● Customer Analytics, ​​1st course of Business Analytics Specialization by Wharton School@ Coursera Sep-Oct 2015

● Introduction to Big data, ​​1st course of Big Data Specialization @ UC San Diego Coursera completed Sept 2015 https://www.coursera.org/account/accomplishments/certificate/RSEM3YNTLUZW

● MIT The Analytic Edge ​​@edx: June – August 2015 completed, completed June-August 2015​https://s3.amazonaws.com/verify.edx.org/downloads/462e0a805cec4f91844c815b58619b1a/Certificate.pdf

● Sabermetrics 101: ​​Introduction to Baseball Analytics using SQL & R @ BU edx, completed July-Sept 2015 ​​https://courses.edx.org/certificates/3ecc830d9ed245d9a11c209c8a3f63c6

● NotreDameX: ​​SOC120x I Heart Stats: Learning to Love Statistics 2015 @ edx completed May-June 2015,​https://s3.amazonaws.com/verify.edx.org/downloads/f28a0c6dd3734188a64d0e30137ce1a4/Certificate.pdf

● Microsoft: ​​Certificate for Querying with Transact-SQL @ edx completed April-May 2015,​https://s3.amazonaws.com/verify.edx.org/downloads/ea2c077e50c24d64b7b762ba0fadb143/C ertificate.pdf

● Getting and cleaning data​​, part of data science specialization, John Hopkins school of public health completed Feb 2015(1 month)

● R programming certificate​​, part of data science specialization Johns Hopkins School of Public Health completed Jan 2015(1 month)

● Exploring Statistics with R programming ​​Certificate @ edxKarolinska Institute, completed 2014 (2 month).​​https://s3.amazonaws.com/verify.edx.org/downloads/f113a9bfb9be4f7686d559d17ce48894/ Certificate.pdf

● Data Scientist’s Toolbox​​, part of data science specialization Certificate @ courser Johns Hopkins School of Public Health, completed 2014

● Programming for Everybody: (Using Python) Certificate ​​@ coursera School of Information, University of Michigan, 10 weeks (2 months), completed June to August 2014.

● Health in Numbers: Quantitative Methods in Clinical and public health research ​​@ edx Harvard School of Public Health​​- 13 weeks (3month), completed November 2012 to February 2013.​https://s3.amazonaws.com/verify.edx.org/downloads/820574f1d5d34c918dfb5d9cc06c907f/Cer tificate.pdf

● National Institute of Information Technology (NIIT), India​​: 2010 Certificate training in C Programming Training in SQL SERVER 2005 database (3 Months)

● Goal technologies, India​​: 15 days Training in ASP.net

● Deep Learning in Python https://www.datacamp.com/statement-of-accomplishment/course/484bc8532fc649ff3ada66fa841bc6 130a4ede32

● Introduction to Python & Machine Learning (with Analytics Vidhya Hackathons)

● https://www.datacamp.com/statement-of-accomplishment/course/bb834b26c35b95c50854d941249e12a1d235d9a9

● National workshop on getting started with Matlab, Manipal Institute of technology, Manipal 2012 th ​

● ​8​ national conference on Medical Informatics, AIIMS New Delhi 2012

● International congress on Emergency Medical service system , AIIMS, New Delhi 2012

● ​National conference on Industrial expectations from Hospital Administrators, Vydehi Medical college Bangalore,2017

● Safety and Quality aspects in Hospital(Organising secretary) , Yenepoya Medical college, Mangalore 2011

● Quest Hospital Administration- 2001, AFMC Pune

● Certificate in Data Analysis in SAS, Department of Statistics, Manipal University, 2012

● Insight National level workshop on TQM:Aa approach to Healthcare, Manipal Institute of Management, 2010

● Flood relief certificate appreciation certificate 2005

● Primary Health Care monthly meeting for PHC Physicians Kingdom of Saudi Arabia 2013