About me
Actively looking for full-time opportunities beginning July 2024 in the field of Data Science and Machine Learning.
Feel free to contact me at pchhikar@usc.edu
As a Master of Science student in Computer Science at USC, I bring a wealth of experience and knowledge to the table. With around three years of professional experience as a full-stack Data Scientist in the real-estate industry, I am well-versed in advanced analytics, machine learning, language modeling, and computer vision. My expertise in these areas, combined with my ability to solve complex problems through data, has led to the publication of more than 20 research papers in top-tier conferences and journals with over 400 citations.
Conferences/Workshops: ACL, NeurIPS, WACV, ECML, KCap, CODS-COMAD, GLOBECOM, MOBICOM, etc.
Journals: IEEE Internet of Things, Elsevier Future Generation Computer Systems, etc.
I am passionate about staying up-to-date with the latest developments in Artificial Intelligence and Machine Learning, and apply this curiosity to learn new approaches and tools. This drive has allowed me to act as a liaison between development, analytics, and business teams. As someone who values empathy and collaboration, I thrive as a team player and have made significant contributions to the successful execution of multiple projects during my tenure at my previous organization.
To give back to the community, I write articles detailing things I have learned and post them on Medium. If you are a data science aspirant, please check out my Medium account.
Skills
Programming Languages: Python, C++, R, Matlab, SQL.
Development Tools: HTML, CSS, Javascript, Angular, NodeJS, SwiftUI.
Machine Learning & Deep Learning Frameworks: PyTorch, Tensorflow, Keras, ONNX, HuggingFace, NLTK, OpenCV, Spacy, LangChain, Scikit-learn, Flask, PySpark, MLFlow.
Tools: Databricks, Weights & Biases (wandb), Jenkins, Gradio, Git, Docker, OpenVINO, SonarQube, Postman, Google Analytics.
Cloud Platforms: AWS (EC2, S3, Lambda, SageMaker, RDS) and GCP (Compute Engine, Cloud Storage, Cloud Functions, BigQuery).
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