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.
Skills
Languages: Python, Java, C, C++
Databases: SQL
Tools: VS Code, Git, Google Colab, Jupyter Notebook, Microsoft Suite, PyCharm, AWS
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent