Sajal Das Shovon

Studying Computer Science (MS) at Anderson University | Intelligent Transportation | Autonomous Vehicles | Robotic Systems| Machine Learning | Data Science | Natural Language Processing (NLP)

Summary

Motivated M.S. student in Computer Science, with a focus on ML , DL, NLP, LLM, and Automated Systems. My research focuses on leveraging advanced algorithms of DL, NLP, and ML technologies to revolutionize computing technology. By exploring the intersection of these research fields, I aim to serve the existing research area to the utmost robustness. I was a GRA at The University of Alabama in Huntsville, where my research centers on Intelligent Transportation, Autonomous Vehicles, and Robotic Systems. My work focuses on leveraging advanced algorithms of Traffic Flow, Machine Learning (ML), Deep Learning (DL) and sensor technologies to revolutionize transportation infrastructure. By exploring the intersection of Robotics, DL, and Intelligent Mobility, I aim to develop solutions that enhance safety, efficiency, and sustainability in the rapidly evolving landscape of transportation and autonomous systems.

Programming Languages & Skills:

JavaScript
AngularJS
Python
Java
C
C++
C#
HTML
CSS
SQL
MS SQL
Git as Version Control

NLP Skills:

Information Retrieval
Search
Keyword Extraction
Concept Mining

Machine Learning Skills:

Naive Bayes
SVM
KNN
K-means
Frequent-Pattern Mining
LSTM
CNN
RNN
Word2Vec
BERT-based models
Gradient Boost
Decision Tree

Selected Libraries:

Pandas
Keras
NumPy
Matplotlib
Seaborn
NLTK
TextBlob
Scikit-Learn
TensorFlow
PyTorch
Python Language Tools

Database:

MySQL
MS SQL

Digital Presence

Google Scholar

Github

Twitter

Publications

Peer-reviewed Conferences

1. K.M. Azharul Hasan, Sajal Das Shovon , Naimul Hoque Joy, Md Saiful Islam (2021). Automatic labeling of twitter data for developing COVID-19 sentiment dataset, 5th International Conference on Electrical Information and Communication Technology (EICT), Khulna-9203,Bangladesh, 17-19 December 2021, ISBN:978-1-6654-0906-3. (awarded ‘Best Paper Award’ in the conference). Read it here.

2. Samrat Alam, Sajal Das Shovon , Naimul Hoque Joy (2021). Machine learning and Lexical Semantic-based Sentiment Analysis for Determining the Impacts of the COVID-19 Vaccine, IEEE International Conference on Signal Processing, Information, Communication &Systems (SPICSCON), Dhaka, Bangladesh, 03-04 December 2021. Read it here.

Contact

shovon030cse.kuet<at>gmail<dot>com