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followers: 39.0 following: 16.0 repos: 95.0 gists: 36.0

Name: Bhishan Poudel

Type: User

Bio: Senior Data Scientist at AmerisourceBergen | Phd Astrophysics

Twitter: bhishan_poudel

Location: Athens, Ohio, USA

Blog: https://bhishanpdl.github.io/

Languages:

Tools:

ML:

DL:

Contact:

Github:

ABOUT ME:

✱ I am currently working as Data Scientis II in AmerisourceBergen company. ✱ I have been working on AdminFee calculation and Rebate analysis of the customers of the company. ✱ I have Masters and Ph.D degree in AstroPhysics from Ohio University USA.
✱ As a Masters student in 2014, I designed and maintained astronomical image processing module jedisim.
✱ This project taught me the concepts of OOP, GitHub version control, continuous integration, unit testing, code debugging, documentation (Sphinx and ReadTheDocs) and various other software development skills.

✱ During my 6 years of Masters + Ph.D. program and doing multiple MOOC courses, to facilitate my day-to-day data science tasks, I developed my own python package (bp) which extends pandas API and includes extensive visualization snippets, data analysis, machine learning, statistical tests and timeseries methods.

✱ I'm a passionate learner who's always willing to learn and work across technologies and domains 💡.
✱ I love to explore new technologies and leverage them to solve real-life problems. ✨I used latest methods to achieve the 12th rank on Analytics Vidhya Sentiment Analysis Project among thousands of participants.

Bhishan Poudel's Projects

.github

2019_shear_analysis_after_dmstack

365_ds_courses

Credit Risk Modeling, Time Series Analysis, Web Scraping, Tableau, Statistics, SQL, SQL+Tableau, Excel, Tensorflow2.0

a1_data

Research a1_data repo

alfred-collection

A collection of all known Alfred3 workflows

algorithms_gitbook

Algorithms GitBook

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

astroseminar_ou

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-dl-projects

This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.

awesome-healthcare

Curated list of awesome open source healthcare software, libraries, tools and resources.

awesome-mac

 Now we have become very big, Different from the original idea. Collect premium software in various categories.

awesome-personal-blogs

A delightful list of personal tech blogs

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

aws-machine-learning-university-accelerated-nlp

Machine Learning University: Accelerated Natural Language Processing Class

backups

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

bhishanpdl

My personal portfolio

bhishanpdl.github.io

My personal Website

bhishanpdl.github.io2

My public website: https://bhishanpdl2.github.io/

bi_tools

Excel,

bp

My Personal Python Module: A place to learn Software design, Travis CI integration, ReadTheDocs integration, Docker containers, Nbviewer rendering, Binder integration, Unit testing, OOP, git-hooks

cheat_sheets

Various cheatsheets

coding-interview-gym

leetcode.com , algoexpert.io solutions in python and swift

cosmoracle

cs_ml_dl_courses

Computer Science, Machine Learning, and Deep Learning Courses taken

dabl

Data Analysis Baseline Library

daily-dose-of-data-science

A collection of code snippets from the publication Daily Dose of Data Science on Substack: https://avichawla.substack.com.

data-science-interview-resources

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

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