NUSRAT ASRAFI

**** ****** **** ***., *** **A Durhum, NC 27705

+1-801-***-**** adtppg@r.postjobfree.com

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SUMMARY

IBM Certified Entry-level Data Scientist with five years of research experience in data analysis, modeling, report- ing, and implementation in cyber security data. Proven understanding of predictive analytics, statistical analysis, and machine learning pipelines with Python, SQL, and Plotly Dash applications. Passionate about developing and improving models to solve real-world problems. KEY SKILLS

Data Cleaning and Transformation, Feature Extraction, Feature Engineering, Data Visualization, Web Scraping, Machine Learning, Predictive Analysis, and Recommendation Systems. TECHNICAL SKILLS

Programming Languages: Python, SQL, JAVA, C++

Libraries for Data Science: Python (Pandas, NumPy, Matplotlib, Seaborn, Folium, Scikit-learn, Scipy) Data Visualization: Tableau, Power BI, Plotly Dash Cloud Platform: IBM Watson Studio, IBM db2, IBM SPSS Miscellaneous Technologies: Excel, Git

WORK EXPERIENCE

Research Volunteer, Department of Applied Statistics Oct 2020- May 2021 Kennesaw State University, Marietta, GA

-Analyzed blood pressure characteristics of child and women data with Box-Cox transformation using Python with five teams members

Graduate Research Assistant, Department of Computer Science Jan 2017 – Dec 2018 Kennesaw State University, Marietta, GA

- Conducted research on static and dynamic analysis of malware on android apps and computer devices

- Prepossessing and analyzing the data with machine learning algorithms to predict the future behavior of malware Teaching Assistant, Department of Computer Science Jan 2019-May 2019 Kennesaw State University, Marietta, GA

- Managed grading in the Introduction to programming (C++) lab in the Computer Science department PEER-REVIEWED CONFERENCE PUBLICATIONS

[C1] Asrafi, N., Lo, D.C.T., Parizi, R.M., Shi, Y. and Chen, Y.W., 2020, April. Comparing Performance of Malware Classification on Automated Stacking. In Proceedings of the 2020 ACM Southeast Conference (pp. 307-308). (Best Abstract Paper) [DOI]

[C2] Asrafi, N., 2019, April. Comparing Performances of Graph Mining Algorithms to Detect Malware. In Proceedings of the 2019 ACM Southeast Conference (pp. 268-269). [DOI] MASTER’S THESIS

Performance of Malware Classification with Machine Learning using Feature Selection

• The project aimed to classify malware families using feature selection and machine learning algorithms.

• Build a malware family classifier with 82 percent accuracy from the frequency of API calls(limited first 100 API calls ) using ML pipelines

• Tools Used: Python

• Machine Learning Algorithms: MLP, Random Forest, and SVM with linear, RBF, and polynomial kernel

• Feature Selection: FDR-ANOVA, RFE, LASSO, FDR-Chi2 ACADEMIC PROJECTS

Heart Disease Diagnosis using machine learning algorithm:

• Time Complexity Analysis of ML pipeline using heart diagnosis data set: In terms of time complexity, Logistic Regression performed best in of area under the curve of the receiver operating characteristic curve (AUC-ROC) and SVM took the most time in the training phase.

Tools used: Python

Machine Learning Algorithms: Decision Tree, Random Forest, Naive Bayes, Logistic Regression, and Support Vector Machine

Toxic Comment Challenges:

• Predict the probability of toxicity from multi-class comments of 56.32 MB Wikipedia comments using two regression models where Logistic Regression performs the best in terms of AUC-ROC and accuracy Tools used: Python

Machine Learning Algorithms: Random forest, Logistic Regression AWARDS AND CERTIFICATIONS

Professional Certificate:

IBM Data Science Professional Certificate Nov 2022 Awards:

Best Abstract Paper Awards By ACM Conference 2020 April 2020 Deans 4.0 club Awards Fall 2017

EDUCATION

Master of Science in Computer Science Jan 2017-May 2020 Kennesaw State University, Marietta, Georgia

Certificate in Computer Science Foundation Jan 2017-Dec 2018 Kennesaw State University, Marietta, Georgia

Bachelor of Science in Electrical & Electronics Engineering May 2010-June 2014 Ahsanullah University of Science and Technology, Dhaka, Bangladesh RELATED COURSEWORK

Big Data Analysis, Machine Learning, Machine Learning for Business Professionals (Coursera), Data Structure

& Algorithms, Advanced Algorithms, Computer Architecture & Operating Systems, and Foundation of Program- ming (Java).

LEADERSHIP AND PROFESSIONAL SERVICE

- Worked as IT Director of Graduate Student Association (GSA) at Kennesaw State University (KSU).

- Successfully organized a welcome event for new students of GSA in Spring 2018.

- Member of KSU Robotics Club.

- Class representative at Ahsanullah University of Science and Technology (AUST).

- Member of ACMSE in 2020.

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