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I'm a Master of Science in Data Analytics for Science student at Carnegie Mellon University. I have a strong background in Computer Engineering with a minor in Data Science[cite: 1].
Here are some highlights:
- 🔭 I’m currently working on optimizing data workflows and developing predictive models for resource consumption.
- 🌱 I’m currently learning Advanced Natural Language Processing, Neural Networks and Deep Learning in Science, and Computer Vision].
- 👯 I’m looking to collaborate on projects involving data analysis, machine learning, and deep learning.
- 💬 Ask me about data analysis, machine learning, deep learning, or my experience with optimizing data workflows.
- 📫 How to reach me:
- Email: aadi.nair20703@gmail.com
- LinkedIn: www.linkedin.com/in/aadityahnair
- 😄 Pronouns: He/Him
Skills:
- 💻 Programming: Python, R, C, Java, JavaScript, PHP, HTML, CSS
- 🗄️ Database: MySQL, Firebase, MariaDB, PostgreSQL
- 🖥️ Operating Systems: Windows, Linux
- 🗣️ Language: English, Hindi, French, Malayalam
- 🔧 Software Knowledge: MATLAB, PyTorch, TensorFlow, PowerBI, Tableau, scikit-learn, Apache Spark (pyspark)
Projects:
- Deep Fake Image Detection: Developed a CNN using PyTorch to detect deep fake images with 93% accuracy.
- Detection of Malaria in Red Blood Cells: Built and trained a CNN model to classify single-cell images, achieving 94.6% accuracy.
Professional Experience:
- Carnegie Mellon University, Reddit FinOps Capstone Project: Analyzed BigQuery usage and optimized data workflows.
- Urbanaut Travels and Experiences Pvt. Ltd, Data Science Intern: Developed an interactive Google Looker Studio dashboard and conducted data analysis to improve marketing efficiency.
- Koyé Pharmaceutical, Computer Science Intern: Implemented an on-premises email server solution and optimized server hardware configuration.
You can also check out my website: aadityagithubfirst.github.io