Prathyusha Murala
AI & Data Science Strategist
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AI & Data Science Strategist
Bridging the gap between cutting-edge AI methodologies and real-world business outcomes, I specialize in building intelligent, data-driven solutions that unlock strategic value. My expertise encompasses the entire data science lifecycle, from advanced predictive modeling, forecasting, and personalized recommendations to natural language processing and deep learning, ensuring each solution is explainable, ethically grounded, and closely aligned with organizational objectives.
My journey in Data Science and AI
Master of Science - Applied Data Science
Relevant Coursework: Quantitative Reasoning for Data Science, Responsible AI, Information Visualization, Natural Language Processing
Bachelor of Technology - Computer Science and Engineering
Relevant Coursework: Machine Learning, Deep Learning, Data Warehousing & Data Mining, DBMS
Click a chest to discover my work!
A plain-English explanation of how language models work, no PhD required. Covers tokenization, embeddings, attention, and the complete pipeline.
The math, the code, and the "aha" moments from implementing a transformer. ~500 lines of PyTorch, trained on Shakespeare.
Deep learning pipeline achieving 96.76% accuracy classifying emotions from EEG signals, outperforming SVM, KNN, and RF baselines. Published at ERCICA Conference, Springer 2023.
Hybrid recommender using SBERT embeddings, UMAP + K-Means clustering, and SVD collaborative filtering. 20% boost in recommendation accuracy.
Explored multi-year World Happiness Report & OECD data across 50+ countries. Linked social investments to a 15% rise in happiness.
Predicted income brackets with emphasis on model fairness. Used LIME and SHAP for interpretability on 45K+ records.
Scalable database and analytics solution for music streaming. Enabled real-time insights into listening habits and genre trends.
Messages from the deep - click a bottle to read!
My technical toolbox built from industry experience and academic excellence
Let's connect! Whether you're interested in discussing potential opportunities, have a collaboration in mind, or just want to talk data science, feel free to reach out. You can connect with me on LinkedIn or Email. I look forward to hearing from you!