Data Scientist Machine Learning

Shams Alkhalidy

US Citizen +1-517-***-**** **************@*******.*** https://www.linkedin.com/in/shamsalkhalidy/ github.com/alkhali7

EDUCATION

Michigan State University, College of Natural Science, East Lansing, MI April 2024

Bachelor of Science, Data Science, Minor in Information Technology

Cumulative GPA: 3.75 / 4.00, Dean’s List: 6 Semesters

Advanced Study: MBA 891 Special Topics in Business Management (1.5 credits)

RELEVANT EXPERIENCE

ICER User Data Analytics January 2024 - April 2024

Data Scientist Institute of Cyber-Enabled Research MSU GitHub Repository

Developed and constructed ETL data pipelines using Scikit-learn to feed machine learning models, leading data preprocessing and analysis for large datasets within MSU's High-Performance Computing Center to optimize resource allocation and usage.

Analyzed file ownership within the General Parallel File System (GPFS) data using lazy loading method, investigating a vast dataset of ~10,000,000 rows to identify users with exceptionally high file counts, aiding in optimizing file system management and ensuring equitable resource distribution.

Led the development of function automation to identify SLURM jobs that underutilize resources by analyzing 153,000 rows of data, highlighting jobs that exceeded thresholds but fell below critical utilization. Visualized underutilization using Plotly for CPU, nodes, time, and memory, providing insights for optimizing job scheduling and resource management.

MiGMIS Technical Training Conference January 2024 - April 2024

Data Scientist MSU

Performed sentiment analysis and NLP using NLTK, spaCy, TensorFlow Hugging Face libraries on a decade of survey data to enhance Michigan Gov. Management Information Sciences technical conference track, aiming to elevate participant experience by 5% and satisfaction.

Developed bar plot visualizations based on sentiment analysis models, categorizing session feedback as positive or negative. These insights enabled the team to identify and contact the appropriate vendors for the 2024 technical conference, enhancing vendor engagement and relevance.

Presented these insights to local government board members, fostering content relevancy and the introduction of certification pathways for professional development.

Economic Prosperity Dashboard January 2024 - April 2024

Data Analyst MSU Dashboard Link

Leveraged Tableau to create a dynamic dashboard that visualizes the impact of GNI per capita on HDI, SDI, and sex inequality across multiple countries, showcasing a clear link between economic strength and human development outcomes.

Employed advanced data visualization techniques, including geospatial mappings and interactive filters, enhancing the user experience, and enabling nuanced, data-driven storytelling that informs global development strategies.

Course Compass January 2024

Frontend Sparta Hackathon Project

Developed an intuitive and responsive user interface named Course Compass using HTML, CSS, and JavaScript, which enhanced user experience and facilitated easy navigation for students managing their academic schedules.

WORK EXPERIENCE

ID Tech, Ann Arbor, Michigan, USA June 2023 - July 2023

Summer Camp Instructor 45 hours/week

Led weekly project-based Python coding sessions for up to 12 students aged 13 to 17 at the University of Michigan campus, successfully guiding them through the completion of individual machine learning projects using PyCharm and Google Colab, while fostering a creative and secure learning environment

Actively supported students in problem-solving, critical thinking, and technical troubleshooting, promoting their independence and resilience.

CERTIFICATIONS & AWARDS

Microsoft Certified: Azure Data Scientist Associate Microsoft Expected: December 2024

Cyber Ambassador Certificate Michigan State University April 2024

SQL Essential Training Certificate LinkedIn December 2023

SKILLS

Tech Stack: Python, R, SQL, NLP, Tableau, High-Performance Computing, NoSQL, Git, Spark, Jupyter Notebook, RStudio, PyCharm, C++, pip, QGIS, MS Office

Python Libraries: NumPy, Pandas, Scikit-Learn, Seaborn, Matplotlib, PyTorch, PySpark, TensorFlow, NLTK, spaCy, Transformers, plotly, Statsmodel, Keras, Dask

Languages: English and Arabic

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