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followers: 6.0 following: 2.0 repos: 66.0 gists: 0.0

Name: Suraj Sadeeq

Type: User

Company: Sadel Technology

Bio: Statistician & ML Engineer. Data Analysis & Software Development in R, Python, Flask, Django, PyQt, React, Next. DBs: MySQL, Firebase, MongoDB, PostgreSQL

Twitter: sadeltechnology

Location: Aurora CO

Blog: https://suraj-adewale.github.io/

Hey there

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Hi, I'm Suraj Adewale, a passionate self-taught Full Stack web developer, Statistician. My passion for software lies with dreaming up ideas and making them come true with elegant interfaces. I take great care in the experience, architecture, and code quality of the things I build.

I am also an open-source enthusiast and maintainer. I learned a lot from the open-source community and I love how collaboration and knowledge sharing happened through open-source.

💼 Any freelance work? Do reach, email :)
💬 Ask me about anything, I am happy to help;

Languages and Tools:

📊 This Week I Spent My Time On:

Python       38 hrs 52 mins  ████████████████████████▒   96.89 % 
JavaScript   1 hr 5 mins     ▓░░░░░░░░░░░░░░░░░░░░░░░░   02.71 % 
HTML         5 mins          ░░░░░░░░░░░░░░░░░░░░░░░░░   00.18 % 
SQL          5 mins          ░░░░░░░░░░░░░░░░░░░░░░░░░   00.18 %

If you like what I do, maybe consider buying me a coffee/tea 🥺👉👈

🚧 My Todoist Stats:

🏆 7,936 Karma Points
🌸 Completed 0 tasks today
✅ Completed 663 tasks so far

📈 My GitHub Stats

Suraj Sadeeq's Projects

algorithm

Data structure and Algorithm

annotation-pipeline

applied-bioinformatics

Student course material for the Applied Bioinformatics course at Scripps Research

bayes-finemap-pipeline

bigmhc

BigMHC predicts MHC-I (neo)epitope presentation and immunogenicity

bulk-rnaseq-analysis

A complete guide for analyzing bulk RNA-seq data. Go from raw FASTQ files to mapping reads using STAR and differential gene expression analysis using DESeq2, using example data from Guo et al. 2019.

code_snippets

computer-base-test

deepsequence

A generative latent variable model for biological sequence families.

epi-biost-workshop

Lecture notes and files for the annual UW SPH Epidemiology/Biostatistics mathematics and R workshop.

epidemiology101

Epidemic Modeling for Everyone

epipy

Python tools for epidemiology

fbs-tutorial

Tutorial for creating Python/Qt GUIs with fbs

finemapping

finemapping-causal-snp

genomicsem

R-package for structural equation modeling based on GWAS summary data

github-actions-tutorial

A guided introduction to Github Actions

globalbiobankengine

A resource for the visualization and exploration of genetic and phenotypic data from biobanks

grs_bmi

grs_incident_stroke

hello

heroku

hibag

R package – HLA Genotype Imputation with Attribute Bagging (development version only)

hla-la

Fast HLA type inference from whole-genome data

hla-tapas

HLA-TAPAS pipeline for HLA association and fine-mapping studies

hla_analyses_tutorial

A thorough tutorial on HLA imputation and association, accompanying our manuscript "Tutorial: A statistical genetics guide to identifying HLA alleles driving complex disease"

immunology-informatics

Immunology Informatics - Big Data Analysis in Immunology - Tutorials

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

kir_project

momf

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