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Tahsin Mayeesha
Overview of Undergraduate Experience(2015-2020)
Initial undergraduate attempt at Canada, University of
Waterloo
CSE 115 project : Luck factor book command line quiz
game
CSE 231 : Implementing CPU in Logisim
CSE 299 : Neural Style Transfer Project
CSE 327 : Software Engineering Project
CSE 323 : Operating Systems project.
Human Activity Recognition from Android Accelerometer
CSCW 2018 paper(Solidarity Across Borders Workshop)
GSOC 2018 project : Mediaviz
GSOC 2018 with Berkman Klein Center Certificate
CSE445 : Machine Learning project.
Grace Hopper Application 2019 : Failed
NSU HCI Summer School Position Paper : March 2019
GSOC proposal 2019 to Tensorflow
GSOC 2019 Certificate From Tensorflow
CSE 495 : NLP(Special Topics)
CSE 495 : Bangla Machine Translation Project
NSU HCI Winter School Position Paper. November 2019.
CSE 499A + B : Capstone Journal Paper on Bangla NLP.
Personal projects/experiences
● Multiple hackathon attending including Kolpokoushol, winning Banglalink
hackathon SDG in 2020, Jeeon, Backpack etc.
● Maintaining a blog “Learning Machine Learning” through the years.
● Social media leveraging more in recent years.
● Seeking more collaboration has helped in general.
● Kaggle dabbling
● Quora-ing during NSU years.
The end of my blog
Dabbling with Youtube-ing
Studying in Udacity
Kaggling-dabbler level
Failed Projects/notable fails
● Profile picture analysis, driver stress, water level visualization - NSU HCI
team
● GSOC successful project analysis, teacher review analysis, Banglamapper -
Personal project failure
● Forgetting CSE115 midterm - first term fail
● Not showing up in any of the finals - Summer 2016
● Inability to manage job + NSU - Summer 2017, Cramstack stunt
● Unable to make 299 capstone project into a paper - Summer 2017
● Tensorflow ULMFiT implementation, CSE 495 NLP assignment - Partial
failure
● CSE 327 credit card not extending to paper - not yet failure
● Datacamp/Dataquest article submission
Final Stats
● Final cgpa : 3.16
● Lowest cgpa(Summer 2016) : 2.4.
● Two GSOC participation : 2018(Berkman Klein Center of Internet and
Society, Harvard University), 2019 (Tensorflow Hub, Google)
● 2 papers. 1 workshop paper in 2018, 1 journal paper for undergraduate
thesis(capstone project)
● 1 startup job for 3 months followed by quitting because I was not learning
much.
● Currently data scientist in a funded project(funded by Bill and Melinda Gates
Foundation) with NSU HCI. https://sites.google.com/view/alorakash/home
● Total earnings : 487000 BDT
Handling Academics and Self study
● Time management is essential.
● Setting specific learning goals >>> vague aspirations.
● Online curriculums available nearly any technical topics.
● Internships/research projects for additional structure.
● Community support e.g NSU ACM groups, IEEE groups, Robotics teams.
● Confidence is essential.
● Free resources available for nearly all technical topics in CSE.
Machine Learning Community in NSU
● Really broad, many teachers are actively researching.
● Opportunities for applying ML is available by collaboration from other fields
e.g biomedical, HCI.
● Many alumnis are working in data engineering/data science in industry.
● Scope for going abroad is limited for all Bangladeshi graduates without skills,
not an NSU issue.
● Not yet sure how to do the transition myself, masters/PhD followed by job
search most popular route, for SWE contest programming----> job search
more common.
Course choice
● Better to keep a mix of hard vs easy courses.
● Better to keep a mix of technical and non-technical courses instead of taking
all the GED courses first.
● Self study is important regardless of faculty.
The End

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Tahsin mayeesha Undergrad experience- North South University

  • 1. Tahsin Mayeesha Overview of Undergraduate Experience(2015-2020)
  • 2. Initial undergraduate attempt at Canada, University of Waterloo
  • 3. CSE 115 project : Luck factor book command line quiz game
  • 4. CSE 231 : Implementing CPU in Logisim
  • 5. CSE 299 : Neural Style Transfer Project
  • 6.
  • 7. CSE 327 : Software Engineering Project
  • 8. CSE 323 : Operating Systems project. Human Activity Recognition from Android Accelerometer
  • 9. CSCW 2018 paper(Solidarity Across Borders Workshop)
  • 10.
  • 11. GSOC 2018 project : Mediaviz
  • 12. GSOC 2018 with Berkman Klein Center Certificate
  • 13. CSE445 : Machine Learning project.
  • 14. Grace Hopper Application 2019 : Failed
  • 15. NSU HCI Summer School Position Paper : March 2019
  • 16. GSOC proposal 2019 to Tensorflow
  • 17. GSOC 2019 Certificate From Tensorflow
  • 18. CSE 495 : NLP(Special Topics)
  • 19. CSE 495 : Bangla Machine Translation Project
  • 20. NSU HCI Winter School Position Paper. November 2019.
  • 21. CSE 499A + B : Capstone Journal Paper on Bangla NLP.
  • 22. Personal projects/experiences ● Multiple hackathon attending including Kolpokoushol, winning Banglalink hackathon SDG in 2020, Jeeon, Backpack etc. ● Maintaining a blog “Learning Machine Learning” through the years. ● Social media leveraging more in recent years. ● Seeking more collaboration has helped in general. ● Kaggle dabbling ● Quora-ing during NSU years.
  • 23. The end of my blog
  • 28. ● Profile picture analysis, driver stress, water level visualization - NSU HCI team ● GSOC successful project analysis, teacher review analysis, Banglamapper - Personal project failure ● Forgetting CSE115 midterm - first term fail ● Not showing up in any of the finals - Summer 2016 ● Inability to manage job + NSU - Summer 2017, Cramstack stunt ● Unable to make 299 capstone project into a paper - Summer 2017 ● Tensorflow ULMFiT implementation, CSE 495 NLP assignment - Partial failure ● CSE 327 credit card not extending to paper - not yet failure ● Datacamp/Dataquest article submission
  • 29. Final Stats ● Final cgpa : 3.16 ● Lowest cgpa(Summer 2016) : 2.4. ● Two GSOC participation : 2018(Berkman Klein Center of Internet and Society, Harvard University), 2019 (Tensorflow Hub, Google) ● 2 papers. 1 workshop paper in 2018, 1 journal paper for undergraduate thesis(capstone project) ● 1 startup job for 3 months followed by quitting because I was not learning much. ● Currently data scientist in a funded project(funded by Bill and Melinda Gates Foundation) with NSU HCI. https://sites.google.com/view/alorakash/home ● Total earnings : 487000 BDT
  • 30.
  • 31. Handling Academics and Self study ● Time management is essential. ● Setting specific learning goals >>> vague aspirations. ● Online curriculums available nearly any technical topics. ● Internships/research projects for additional structure. ● Community support e.g NSU ACM groups, IEEE groups, Robotics teams. ● Confidence is essential. ● Free resources available for nearly all technical topics in CSE.
  • 32. Machine Learning Community in NSU ● Really broad, many teachers are actively researching. ● Opportunities for applying ML is available by collaboration from other fields e.g biomedical, HCI. ● Many alumnis are working in data engineering/data science in industry. ● Scope for going abroad is limited for all Bangladeshi graduates without skills, not an NSU issue. ● Not yet sure how to do the transition myself, masters/PhD followed by job search most popular route, for SWE contest programming----> job search more common.
  • 33. Course choice ● Better to keep a mix of hard vs easy courses. ● Better to keep a mix of technical and non-technical courses instead of taking all the GED courses first. ● Self study is important regardless of faculty.

Editor's Notes

  1. Link : https://github.com/Tahsin-Mayeesha/16-bit-cpu-MIPS
  2. Link : https://medium.com/learning-machine-learning/building-a-credit-card-recommender-and-deploying-on-web-and-chatbot-platform-91bd7baf2798 Time : Fall 2018
  3. Link : https://drive.google.com/file/d/12gcSvej7ANkZ7GFSoaZ8yEC77DlwMUxN/view?usp=sharing Time : Fall 2018
  4. Link : https://cscwsolidarity.files.wordpress.com/2018/10/tahsin_mayeesha_et_al_cscw_solidarity_2018.pdf
  5. Link : https://summerofcode.withgoogle.com/archive/2018/projects/5704578783772672/
  6. Link : https://drive.google.com/file/d/1f_yxEP6cYiGlNgRcvpAdbG5Fq0KNVUJe/view?usp=sharing Time : Spring 2019.
  7. Link : https://drive.google.com/file/d/11I0q9mK61XFT20aFhP6yqImVZEfEOTyR/view?usp=sharing
  8. Link : https://drive.google.com/file/d/1UbDW8bQPgftIP01AQzU_7_vChLhlZCke/view?usp=sharing
  9. Link : https://drive.google.com/file/d/1owSIrQna1pVPZmZPFIRaPKgz-hdc-lGg/view?usp=sharing Time : Summer 2019.
  10. Link : https://drive.google.com/file/d/1F8QVA0klyuYsZZFnpERTH-lLxO1Vt0Db/view?usp=sharing
  11. Link : https://drive.google.com/file/d/1nBsot_HC9BS-zEqPp-NyOe3xXBfk8w8R/view?usp=sharing
  12. Link : https://www.tandfonline.com/doi/full/10.1080/24751839.2020.1833136