Yasmeen Javadi
Parsippany,USA
Overview
1
1
year of professional experience
1
1
Certification
Work History
Intern
Siemens Corporation
07.2024 - 08.2024
- Developed the TIME-LLM model using time series forecasting and large language models (LLMs) to create more efficient, industry-agnostic predictions while reducing data requirements.
- Utilized Python, Numpy, Pandas, PyTorch, and high-performance computing (HPC) environments (multi-core CPUs, NVIDIA GPUs) to process data, optimize batch sizes, and improve model accuracy.
- Enhanced forecasting accuracy on small datasets, contributing to cost-effective prediction solutions. Presented findings, suggested future optimizations, and received NJIT’s Summer Research Program certificate for outstanding contributions.
Prestige Beauty Advisor
Ulta Beauty
02.2024 - Current
Ulta Beauty • Prestige Beauty Advisor • Clifton, NJ • 02/2024 - Present
- Achieved a 500% success rate for opening Ulta Reward Credit Cards (URCC), holding the highest record in-store and consistently surpassing targets.
- Leveraged customer insights to optimize inventory management, ensuring high-demand products were consistently available.
- Collaborated with team members to exceed sales goals, contributing to data-driven sales strategies and improved customer satisfaction.
Education
Bachelor - Computer Science
New Jersey Institute of Technology
Newark, NJ05.2025
Associate - Computer Science
Essex County College
Newark, NJ12.2022
Certification
Google Advanced Data Analytics Certificate (In Progress) – Expected Completion: 10/15/2024
Projects
Compiler Design 02/2024 - 12/2024
Engineered a C++ compiler, segmenting into lexical analyzer, parser, and interpreter. Focused on efficient tokenization, syntactic accuracy, and executable code interpretation. Demonstrated advanced skills in software development and problem-solving.
Predicting Obesity Levels Using Machine Learning 02/2024 - 04/2024
Developed a machine learning model to predict obesity levels based on physical and dietary attributes using a dataset from Kaggle. Conducted exploratory data analysis, data preprocessing, and implemented SVM, Decision Tree, and Logistic Regression models. Documented and presented the project using Google Colab.
Hospital Database Management SubSystem 02/2023 - 04/2023
Led the design of a hospital database. Developed an E/R diagram for data relationship mapping and a relational schema for efficient data management. Implemented and managed SQL operations, ensuring database integrity and performance. Showcased teamwork and database expertise.
Skills
Hard Skills :
- Programming Languages: Python, Java, C, C++, JavaScript, HTML, CSS, SQL
• Big Data & Machine Learning: Python (eg. scikit-learn, numpy, pandas, matplotlib) ,PyTorch, Predictive Modeling, SVM, Decision Trees, Logistic Regression
• Data Science & Miscellaneous Technologies: Hypothesis testing , Regression Analysis , A/B testing, predictive Analytics, Data science pipeline ,Statistics, Time series,Excel , Git
- Data Visualization: Tableau, Looker, Google Data Studio, Matplotlib, Seaborn
Soft Skills: Coaching, Purchasing Management, Marketing, Sales, Technical Support
Ethics in Data Handling: Privacy, Bias Mitigation, Responsible Use of Data
Timeline
Intern
Siemens Corporation
07.2024 - 08.2024
Prestige Beauty Advisor
Ulta Beauty
02.2024 - Current
Bachelor - Computer Science
New Jersey Institute of Technology
Associate - Computer Science
Essex County College
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