About Me

I am an experienced Medical Administrator and a Physician Scientist with MD/MHA qualification. I have overall more then 15 years of experience in Healthcare; managing tertiary care hospitals, academic teaching and clinical practice.I have held res...ealthcare; managing tertiary care hospitals, academic teaching and clinical practice.I have held responsible positions in hospital operations. I have worked in academic positions teaching health administration subjects operations management & research and Healthcare Quality management to MD and MHA students.

Data Science and Health Analytics have been my passions. I have been working in the data science space basically learning and doing Health analytics for the last 10 years.

I am excited about how Computational Science/Precision Medicine and AI are changing the world at large. I have immersed myself into a continuous journey of self-learning since the last 10 years. I have worked in areas of programming, stats, machine learning, decision science, visualisation by completing various data science certification in class and open courses on edx and coursera, successful attended boot camp on full-stack data science, and to understand deep-learning technologies(CNN,NLP,RNN) participated in nurture.ai/ fast.ai study group at Bangalore. In addition to this I have attended Masters Health Informatics from Dalhousie University, Canada courses. I have used various platforms to keep abreast, such as Dataquest(Data-quest Scholar for social good 2019). Conducted data cleaning, feature engineering, feature selection, and statistical modelling on regular basis on Kaggle data sets.

I love working on data and work on learning new technique and tools, I enjoy reading books on various topics ranging from stock market, business, medicine to data science and engineering. I love working with different people with different skill levels it gives opportunity in acquiring new and heuristic skills.

Skillsets

Analytics Tools – R, SAS, STATA, Apache Hadoop(HDFS, MapReduce, Pig, Hive, HBase), Microsoft Azure Machine Learning, KINME
Programming Knowledge - Python((numpy, scipy, and matplotlib), SQL, web scraping, ETL
Analytics Skills – familiar with Machine Learning, linear regression, logistic regression, clustering, Stats Modelling, Exploratory Data Analysis, deep learning
https://github.com/pursh2002
https://github.com/pursh2002/100-day-challange-Datascience-python-code-2019
https://github.com/pursh2002/Study-Group-AI-deeplearning-Saturday-by-Nurture.AI-2018
https://github.com/pursh2002/Byteacademy-Data-engeenering-projects-2017
https://www.datacamp.com/profile/pursh2002-4affb5b4-a6ec-482c-9dd5-2ca4b67ca833
https://www.freecodecamp.org/pursh2002
https://www.kaggle.com/pursh2002
https://www.coursera.org/accomplishments
https://courses.edx.org/u/Pursh
https://app.dataquest.io/profile/pursh2002
https://www.hackerrank.com/pursh20021