Sign in

MySQL, Python, Machine learning, Statistics, Spark

Carbondale, IL
November 14, 2018

Contact this candidate


Nazli Ansari



Master of Computer Science Expected to graduate in May 2019 Southern Illinois University Carbondale, Carbondale, IL Current GPA: 3.9 out of 4.0

Final Thesis:

Deep learning approach for network intrusion detection Bachelor of Science in Information Technology 2011-2015 Institute for Advanced Studies in Basic Science University, Zanjan, IRAN Current GPA: 17.35 out of 20.0

Final Thesis:

Classification of Protein Sequences Based on Graph Theory and Artificial Neural Network Data Scientist Intern June - August 2018

MilliporeSigma, St Louis, MO

Developed an evaluation web base tool for potential cell culture media/ feed research and development projects

Data will be taken from two different outside databases

Analyzed data to identify trends and support the development of mission-related analyses.

Used machine learning techniques such as econometric regression analysis, cluster analysis and Bayesian analysis for analyzing data.

Created mathematical models and programs used to test solutions to complex systems

Used Tableau for better visualization of final result Research Assistant January 2017 - Current

Southern Illinois University Carbondale, Carbondale, IL

Machine learning in IOT security

Write a review book chapter about using neural network to secure IOT systems by anomaly detection techniques

Using machine learning to predict stock market

Doing group research about using Twitter posts to predict stock market with SVM

Deep learning approach for network intrusion detection Doing preprocessing on ISCX dataset and trying to use machine learning techniques to detect anomaly

Teaching Assistant August 2017- May 2018

Southern Illinois University Carbondale, Carbondale, IL

Ethical hacking, Computer Architecture, Computer Organization and Architecture, Programming with Data Structures, Digital Circuit

Machine learning: Classification, Clustering, Regression Statistical Methods: Regression Models, Principal Component Analysis and Dimensional Reduction Software and Programming Languages: Python (Scikit-learn, Numpy, Pandas, Flask, SqlAlchemy), SQL, Tableau, HTML, CSS, MATLAB, Java, C, C++, C#, OpenMPI, Linux and familiar with Spark Machine learning and soft computing, data mining/ big data analysis, pattern recognition and image processing, Intelligent Design, Artificial neural networks, Bioinformatics, Distributed systems, Discrete mathematics, Python for data science and machine learning

Achieved student scholarship to attend Grace Hopper Celebration - 2018

Machine Learning group in SIU

Emerging Networks and Security (ENas) group in SIU

Student of the National Organization for Development of exceptional Talents (NODET) Technical Skills

Applicable Course


Awards and



Contact this candidate