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Machine Learning Data Science

Location:
Carbondale, IL
Salary:
$50000
Posted:
December 12, 2023

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Resume:

SAIKA ZAMAN

Address: **** ***** ******* **, *** *, Carbondale, IL, 62901, USA Email: ad1v7h@r.postjobfree.com EDUCATION

M.Sc. in Computer Science Jan 2023- April 2024 (Expected) Southern Illinois University Carbondale. CGPA(Current): 4.00/4.00 Graduate Teaching Assistant, School of Computing and Data Science and Machine Learning Researcher, Security, Privacy and Edge intElligence for Distributed networks laboratory (SPEED Lab) https://sites. google.com/view/speedlab-network/people

Chittagong University of Engineering and Technology 2013 - 2017 B.Sc. in Computer Science and Engineering

CGPA: 3.30/4.00 scale [Recipient of Merit Scholarship in every semester] HONORS AND AWARDS

Second Prize Winner at ACM Student Research Competition (SRC) during the 2023 CMD-IT/ACM Richard Tapia Celebration of Diversity in Computing Conference. [Link]

Recipient of ACM Richard Tapia’23 Scholarship.

Recipient of SenSys’23 SIG Travel Grant.

Recipient of Merit Scholarship in every semester from undergraduate school, Chittagong University of Engineering and Technology (CUET), Chattogram, Bangladesh. CAREER OBJECTIVE

With more than three years (3+ yrs) of expertise in machine learning and data science, I am committed to applying my proficiency in software development, data analysis, and problem-solving to advance innovative solutions within the realm of computer science. My profound enthusiasm lies in delving into emerging tech- nologies and methodologies to architect efficient, scalable, and secure software systems. I aspire to secure a challenging and rewarding role that nurtures a collaborative atmosphere among a team of skilled profession- als, enabling us to tackle intricate challenges and produce top-tier solutions. PUBLICATIONS

Saika Zaman and A. Imteaj. Trustworthy Agent-Driven Particle Swarm Optimization for Communi- cation Efficient Federated Learning. 2023 CMD-IT/ACM Richard Tapia Celebration of Diversity in Com- puting Conference. [Recipient of Tapia’23 Scholarship].

Md Zarif Hossain, Ahmed Imteaj, Saika Zaman, Abdur R. Shahid, Sajedul Talukder, M. Hadi Amini,

“FLID: Intrusion Attack and Defense Mechanism for Federated Learning Empowered Connected Au- tonomous Vehicles (CAVs) Application”, Accepted in The 2023 6th IEEE Conference on Dependable and Secure Computing (IEEE DSC 2023), Tampa, FL, USA.

A. Imteaj, A. R. Shahid and Saika Zaman, “Leveraging Blockchain Interoperability for Interdependent Networks,” in IEEE Consumer Electronics Magazine, 2023. [Impact Factor: 4.135]

Saika Zaman, Ahmed Imteaj, Muhammad Kamal Hossen, and Mohammad Shamsul Arefin. “IoT- Enabled Lifelogging Architecture Model to Leverage Healthcare Systems.” In International Conference on Intelligent Computing & Optimization, pp. 1011-1025. Springer, Cham, 2021.

A. Imteaj, T. Rahman, M. K. Hossain, and Saika Zaman. “IoT based autonomous percipient irrigation system using raspberry Pi.” In 2016 19th International Conference on Computer and Information Tech- nology (ICCIT), pp. 563-568. IEEE, 2016.

M. Chowdhury, A. Imteaj, K. H. Patwary, and Saika Zaman. “Community Friend: An empirical ap- proach to solve community problems of Bangladesh.” In 2015 International Conference on Electrical Engg and Information Communication Technology (ICEEICT), pp. 1-6. IEEE, 2015. TECHNICAL STRENGTHS

Microsoft office Word, Excel, Power point

Programming language Python, Java, C, C++, SQL, MATLAB Machine Learning Algorithms Decision trees, RF, SVM, ANN, CNN, XGBoost, etc. ML Libraries and frameworks Scikit-learn, TensorFlow, Keras, PyTorch ML Model selection and evaluation Cross-validation, Regularization, and Grid search Data Mining Software Weka, RapidMiner

Database Management Systems Oracle, DB2, Microsoft SQL Server, MySQL Database Visualization Tool Tableau, Power BI, Matplotlib, and ggplot Hardware tool Raspberry Pi, Arduino, WemosD1, sensors Development tool Android Developer tool

Other App MATLAB, LATEX, NetBeans, Jupyter NoteBook, Spyder SELECTED PROJECTS

Particle Swarm Optimization-based Federated Learning Framework. Tools/Languages Used: Python, PyTorch, Google Colab, AI workstation.

Customer Segmentation and Visualization for a Retail Company Summary. Tools/Languages Used: Python, Google Colab, Jupyter Notebook.

Interactive Dashboard for Sales Analysis. Tools/Languages Used: Tableau, SQL, Excel.

Human Activity Recognition using Machine Learning. Tools/Languages Used: Python, Google Colab, Jupyter Notebook.

IoT-Enabled Smart Healthcare System. Tools/Languages Used: Raspberry pi, Python. WORK EXPERIENCE

Southern Illinois University, Carbondale, IL, USA

Data Science and Machine Learning Researcher (January 2023- Current)

• Involved in data science and ML related projects. Recently, implemented a particle swarm optimized based Federated learning framework

• Mentoring undergraduate students to accomplish their projects

• Write technical research papers to publish in conference and journals Southern Illinois University, Carbondale, IL, USA

Graduate Teaching Assistant

Worked as a TA of the Computer Organization and Architecture course (Spring 2023) and Intro to Computer Science course (Fall 2023).

• Help students with one-on-one tutoring and regular out of class assistance.

• Assist Professor with classroom instruction materials, exams, assignments and record keeping.

• Evaluate weekly quizzes, assignments, reports, and track the student progress. TALK AND PRESENTATION

• “Trustworthy Agent-Driven Particle SwarmOptimizationforCommuni-cation Efficient Federated Learn- ing”, presented at the 2023 CMD-IT/ACM Richard Tapia Celebration of Diversity in Computing Confer- ence.

• “IoT-Enabled Lifelogging Architecture Model to Leverage Healthcare Systems”, presented in the 3rd International Conference on Intelligent Computing & Optimization, April 22-23, 2021. [Link]



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