Experience
Roles where I applied data science, engineering, and web technologies to deliver measurable impact.
Machine Learning Researcher
Lawrence Technological University · Southfield, MI (On-site)
- Conducted research and experimentation in machine learning and deep learning using Python, PyTorch, TensorFlow, and Scikit-learn.
- Developed computer vision models and ML pipelines for data preprocessing, model training, testing, evaluation, and optimization.
- Worked with large-scale datasets, performing data analysis, feature engineering, validation, and model performance evaluation.
- Researched and implemented deep learning and computer vision techniques, including image classification and object detection, for real-world applications.
Data Science Intern
WebiDesigners · Gujarat, India (On-site)
- Developed and trained machine learning and deep learning models in TensorFlow and PyTorch for real-world prediction tasks.
- Performed data preprocessing, feature engineering, and exploratory data analysis to enhance model accuracy and robustness.
- Evaluated and fine-tuned models using appropriate metrics and optimization techniques, documenting results for stakeholders.
- Collaborated with a cross-functional team to interpret outputs and support data-driven decision-making.