- Data science enthusiast with a profound passion for leveraging data to derive meaningful insights and innovative solutions.
- Currently pursuing my Masters in Applied Data Science at University of Southern California and hold a Bachelor's in Computer Science and Engineering, specializing in AI and ML, showcasing a solid foundation in diverse technical domains.
- Actively participating in academic coursework and hands-on projects covering a broad spectrum of data collection, data preprocessing, machine learning, modelling, database management and big-data technologies.
- Possess 3+ years of practical experience working on myriad of data science projects, with concentration on machine learning and deep learning frameworks.
- Familiarity in implementing deep learning models with frameworks like Pytorch and Tensorflow.
- Collaborated on research projects and published research papers in the domain of time-series forecasting and object detection in reputed journals (IEEE, Elsevier, Tech Science Press).
- Possesses a sharp analytical mindset with a keen eye for patterns, trends, and anomalies, ensuring a meticulous approach to data analysis.
- Committed to staying at the forefront of data science trends and technologies, dedicated to ongoing professional development and acquiring new skills.
- Eager to apply theoretical knowledge gained through my academic pursuits to solve challenging real-world problems.
- Languages: Python, Java, C, C++
- Databases: SQL
- Tools: VS Code, Git, Google Colab, Jupyter Notebook, Microsoft Suite, PyCharm, AWS
- Libraries: TensorFlow, PyTorch, Numpy, Pandas, Scikit-learn, Keras, Nltk, OpenCV, Seaborn, BeautifulSoup, Plotly