Data Science Master's student from the University of Chicago, with a strong foundation in machine learning, data engineering, and data visualization.
- Languages: Python (NumPy, Scikit-Learn, Pandas, Pytorch, Keras, Tensorflow), SQL, PySpark, R
- Data Visualization: Tableau, Power BI, Matplotlib, MS Excel
- Big Data: Google Cloud Platform (GCP), AWS, Spark, Docker, Hadoop, Hive, MapReduce
- Key Skills: Supervised and Unsupervised Machine Learning, Predictive Modeling, Data Modeling, Feature Engineering
- Machine Learning
- Big Data and Cloud Computing
- Generative AI
- Data Structures and Algorithms
- Python for Data Science
- Statistics
- Probability
- Algorithmic Marketing
- Discrete Mathematics
- Linear Algebra
- Calculus
- Differential Equations
- Algebra
Currently working on:
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Gen AI audio to audio E-commerce chatbot
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Computer vision-based distance estimation model for vehicles (Capstone)