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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...
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.
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
Data & Analytics
Networking & Security
Classification service for trainee dermatologists to help diagnose skin diseases using a simple web app programmed in Python-3.Show More Show Less
ToolsAtom Jupyter Notebook Terminal NumPy
Machine Learning Engineer
SkillsPython Data Science
dog breed identification
SkillsPython Deep Learning