Md. Mahmudul Haque (alcatraz47)

This is the portfolio representation of Md. Mahmudul Haque. Github handle "alcatraz47"

View My GitHub Profile

Welcome to the world of Md. Mahmudul Haque a.k.a alcatraz47

Who am I?: I am a Data Science practitioner and have been researching in this domain for about 5 and half years. I have a little contribution to this field. I am mostly interested in Natural Language Processing though my first job as well as my capstone is on Computer Vision. I have publication on textual NLP and reasearch experience on voice based NLP.

Hobby

Travelling, Listening songs, Reading fiction books, and Watching motor sports specially Formula 1

Job Experience

Current:

Past:

Education

CGPA: shush!!!…. I am an NSUer!

Work Experiences at jobs

Text Summarization on news data of financial SMEs in Europe.

Social media bot-based marketing for news distribution:

FaceNext Web and Mobile App: Access controlling system based on face recognition.

Street Visitor: Developing pipelines and predictive analysis of workers GPS locating devices.

ETL on Public Transport Data: ETL on the public transport data for report generation purpose of each day.

Survello Web: Computer vision-based surveillance system.

Publication

The proposed arrangement of this undertaking incorporates order of the passages utilising its temperament. Every one of the sections is self-described, and the number of words in those self-described passages vary from more than 100 to under 4200. The passages are classified utilising three classifications which are: ‘‘Work Stress”, ‘‘Bullying” in both social and digital world, and ultimately ‘‘Sexual Harassment” in public activity and digital world. Artificial neural network paragraph vectors: a distributed bag of words and distributed memory were utilised to get the features of each passage and later on to group them a few information mining strategies were employed, and these are: decision tree, k nearest neighbours, Gaussian naive Bayes, and logistic regression. The exactness of every calculation lied between 70\% to 94\% in the validation set. The best model gave 77.46\% F1 score in test sets.

Capstone

Technical Report Link: ResearchGate

Internship/Research

Personal Projects

Honour and Award

8th at Team Contest of NeurIPS AutoDL challenges (Auto Speech Challenge) co-hosted by Google, Cha-Learn, and 4paradigm.

Online Profiles

  1. LinkedIn: Md. Mahmudul Haque
  2. Github: alcatraz47
  3. Facebook: Mahmudul Haque Arfan
  4. Medium: alcatraz47

Some certificates..

Reference

  1. Md. Rakib Saleh CEO, Unatitech Email: rakib@unatitech.se

  2. DR. MOHAMMAD RASHEDUR RAHMAN Professor & Graduate Coordinator PhD in Computer Science, University of Calgary, Canada MS in Computer Science, University of Manitoba, Canada BS in Computer Science and Engineering, BUET, Bangladesh.