Skip to content
View sajalhalder's full-sized avatar
2 followers · 0 following
Block or Report

Block or report sajalhalder

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
sajalhalder/README.md

Who am I?

I'm a research fellow at Charles Sturt University, Australia. I have experienced in large-scale datasets analist developed accurate predictive models using advanced analytical methods, and implemented data-driven solutions to solve complex research and business problems. I'm passionate about data science, machine learning, knowledge graphs, and recommendations. I have completed PhD from School of Computing Technology, RMIT University, Australia.

Why

. I'm a technology lover. I love data science, machine learning, deep learning, AI solutions and large-scale data analytics.

. Keen interested to learn new technology deeply and happy to take new research challenges. I love mentoring, and coding!

. I advocate and ecourage reprodcuable research, hence I loving sharing my codes and implementations on GitHub!

How to reach me?

. Email: sajal.csedu01@gmail.com

. LinkedIn: https://www.linkedin.com/in/sajal-halder/

Popular repositories Loading

  1. TLR-M_UI TLR-M_UI Public

    In this work, we propose a multi-task, multi-head attention transformer model. The model recommends the next POIs to the target users and predicts queuing time to access the POIs simultaneously by …

    Python 4 1

  2. TLR-M TLR-M Public

    In this research, we present a problem of queuing time aware next POI recommendation and demonstrate how it is non-trivial to both recommend a next POI and simultaneously predict its queuing time. …

    Python 3 3

  3. EffiTourRec EffiTourRec Public

    We propose a new POI selection heuristic for personalized itinerary recom- mendation by considering visitors’ various preferences, i.e., POIs popularity, visitors interest, prior visitors visiting,…

    R 2

  4. SPPMiner SPPMiner Public

    In this paper, we propose single pass supergraph based periodic pattern mining SPPMiner technique that is polynomial unlike most graph mining problems. The proposed technique stores all entities in…

    Java 1

  5. TLR TLR Public

    Our proposed multi-attention based transformer learning model captures visitor’s historical check-ins spatiotemporal dependencies for POI recommendation.

    Python 1

  6. sajalhalder sajalhalder Public

    I'm a research fellow at Charles Sturt University, Australia. I'm passionate about data science, machine learning, knowledge graphs, and recommendations. I have completed PhD from School of Comput…