Technical Languages/Skills 📱
Python, Java, C, C++, C#, JavaScript, React, Go, Yellow-brick, MATLAB, Swift, SQL, Prologue, Scheme
Proficiency in research computing & shared cluster environments with SOL (ASU Supercomputer)
Machine/Deep Learning Skills 📊
Fields: Computer vision, Natural language processing, Signal processing
Tasks: Classification, Regression, Clustering, Association, Recommendation
Libraries: Scikit-Learn, NumPy, Pandas, Pyspark, SparkML, nltk, MATLAB built-ins, PyTorch, Tensorflow, Einsum Networks
Models: Linear/Logistic Regression, Artificial Neural Networks, Decision Trees, Recommender Systems, Recurrent Neural Networks, TensorFlow, Convolutional Neural Networks (CNN), Transformers, PyTorch, Julia, LLM, Probabilistic Flow Circuits
Data Visualization 📶
Python Libraries: Matplotlib, Seaborn
JS Libraries: D3, Leaflet
Other tools: Tableau, Power BI
Certifications & Training 🪪
Machine and Deep Learning Specialization
Adobe Certified Professional in Illustrator and Photoshop
Bachelors in Indian Classical Music
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