The learnneuralnet-fastai from prak112

learnneuralnet-fastai's Introduction

Hi there, I am Prakirth 👋

Background :

Transitioned from career in Pharmaceutical Sciences as Doctoral Researcher 🤓 to becoming a Software Developer through guiding experiences from Internships 🧑‍ and Certifications 🧾

🥇ACHIEVEMENTS	📖 LEARNINGS	🏹 TARGETS	😺 INTERESTS
Research analysis, Project management, Team work AWS Cloud Practitioner (AWS CCP) Web-scrapers automation, AWS analytics pipeline, Geospatial analysis	Software Developer Training, Savo Vocational College (Own curriculum/self-study) Django Backend - Ecommerce store MERN stack - Projects-based learning Software Development 101 at DEV.to, freeCodeCamp	Tech-Stack : MERN + DSTS (Docker, Swagger, Travis CI, Synk) + Git/GitHub + AWS CCP* Profession : Software Developer	Sustainable Finance and Circular Economy Hackathons, occasionally, (Design Thinking, Coding)

📊 GitHub Stats

Stats Breakdown

S = Top 1%
A+ = Top 12.5%
A = Top 25%
A- = Top 37.5%
B+ = Top 50%
B = Top 62.5%
B- = Top 75%
C+ = Top 87.5%
C = Everyone

This ranking scheme is based on the Japanese academic grading system, i.e., Global percentile is calculated as a weighted sum of percentiles for each statistic (number of commits, pull requests, issues, stars and followers), based on the cumulative distribution function of the exponential and the log-normal distributions. The implementation can be investigated from the calculation. The circle around the rank shows 100 minus the global percentile.

🛠️ Knowledgable in...

📫 Reach me at

CREDITS:

README editing resources :
- Sitepoint - details to add devicons for Languages, Tools, Social Media, etc.
- GitHub Stats - details to add GitHub readme stats
- GitHub Streak - UI with github streak markdown link generator

Recommend Projects