Arshia Ilaty

Hello! I am a Master student at the University of Nevada, Reno, Department of Computer Science and Engineering. I am an Engineering Intern at Tesla Inc. I received my B.S. degree in the Department of Electrical and Computer Engineering, University of Tabriz, Iran. I am especially interested in Natural language processing and Data mining, Query processing and optimization, Distributed systems and Federated Learning.

University of Nevada, Reno, 2022 - 2023: Master of Science, Computer Science and Engineering
University of Tabriz, Iran, 2017 - 2021: Bachelor of Science, Computer Engineering

Engineering Intern at Tesla Inc.

Create Kubernetes applications and establish GF1 CI\CD pipeline and utilize Jenkins and Docker to build image/container, facilitating efficient deployment and automation of DevOps processes and enhancing development workflow and ensuring consistent application deployment
Develop JFROG pipelines CI/CD solutions for DevOps automation, contributing to streamlined DevOps practices and enabling seamless automation across teams
Design ignition pages, integrating them with databases to enhance user experience and data accessibility and reducing the number of clicks and automating data collection saves valuable time and minimizes errors and boosting team collaboration
Proficiently design and executed ETL processes, harmonizing diverse data sources for accurate insights and facilitating data-driven decision-making.
Automate and optimize the RTA (Repair Time Analysis) process, leading to improved efficiency and accuracy, while enhancing cross-team collaboration and informed decision-making
Collaborate within a cross-functional team to track the impact of training initiatives on Mean Time to Repair (MTTR) measures and propose the exploration of Flux data to improve Maintenance KPI tracking

Network Engineer Intern

Administered and performed troubleshooting for desktop computer operating systems
Configured and implemented network infrastructure including routers, switches, wireless APs and controllers, and installed equipment, patching, Ethernet and fiber optic cabling

Graduate Research Assistant at University of Nevada, Reno

Program and develop novel Android/IOS application in the Flutter platform for high-resolution imaging in open-pit mines using drones GitHub Link
Use socket programming to build and release a mobile application to localize people during a disaster in order to guide them to a safety zone
Develop a database schema and integrated it with the API server using MongoDB for data storage
Collaborate with the UI/UX designer and bridge the gap between UI/UX design and technical implementation

Undergraduate Research Assistant at University of Tabriz, Iran

Conducted in-depth data analysis, utilizing data wrangling, cleaning, and manipulation techniques to generate meaningful insights
Created visually compelling data visualizations using Tableau and Matplotlib to communicate research findings to stakeholders and team members
Researched and gained a deep understanding of data modeling and data warehousing concepts and explored cutting-edge big data technologies such as Hadoop and Spark
Utilized version control systems such as Git to effectively collaborate with team members and maintain organization and accuracy in research projects

Programming Languages: Python, C/C++, Flutter (Dart), Java, Go, HTML + CSS, SQL
Tools: Git, Github, Weka, RapidMiner, Webflow, Redis, MongoDB, SQL Server, MySQL, Hive, Airflow, Docker, Kubernetes, NGINX, Load Balancers, Tableau, Power BI, Pandas, Matplotlib, NumPy, Scrapy and BeautifulSoup, Scapy, SciPy, Scikit-Learn, TensorFlow, PyTorch, Hadoop, Spark, Kafka, Bazel, Buck, Superset, Pig, Iceberg, OpenNLP, NiFi, SQLAlchemy, Google Tag/AB Testing
Cloud: AWS (S3, EC2, RDS, DynamoDB, CloudFront), Azure, GCP

[2023] Outstanding International Graduate Student Scholarship
[2023] WAAIME Scholarship winner
[2023] Graduate Students Association Travel Award
[2017] Ranked within the top 1% among more than 295.000 students in the nationwide university entrance exam for B.S degree

COVID-19 Prediction using Machine Learning: I developed a machine learning-based prediction model for COVID-19 using the Johns Hopkins University Center for Systems Science and Engineering dataset. Using Python and deep learning techniques such as RNN and LSTM, I built a prediction model that could forecast the number of COVID-19 cases, deaths, and recoveries for different regions around the world GitHub Link
Twitter Watch: Built a system that tracks tweets and replies of some specific accounts from a specific date onwards and extracts some information. I used REST APIs to provide information about the accounts, including the conversation threads, active audiences, and sentiment analysis
Telco Customer Churn (IBM): Executed end-to-end machine learning on the Telco Customer Churn dataset, involving data cleaning, visualization, and categorical-to-numeric transformation. Assessed six machine learning algorithms, optimizing the Gradient Boosting Classifier for an 80% accuracy, 6% higher than the baseline. Emphasized the iterative nature of the process, adapting to evolving problem dynamics.

Coursera

Cisco

MikroTik

Voluntarily contribute as a Data Collector for the Human-Computer Interaction Lab
Serve as a Nevada Undergraduate Research Award (NURA) Reviewer, applying criteria aligned with NSF rubrics to rigorously evaluate research proposals, assess project viability, and allocate funding to innovative research endeavors, ensuring impactful contributions to academic and scientific advancements