Prathyusha Murala
AI & Data Science Strategist
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
Worked on data-driven and AI solutions for business challenges, applying analytics and machine learning techniques in a corporate setting.
Gained experience in financial analytics and reporting, supporting data insights through programming and visualization tools.
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
Explore my work!
Developed a deep learning pipeline to classify emotions using EEG signals. Combined Power Spectral Density (PSD) and Discrete Wavelet Transform (DWT) features with an LSTM architecture, achieving 96.76% accuracy, outperforming SVM, KNN, and RF baselines.
Built a hybrid recommender using SBERT embeddings, clustering, and collaborative filtering to enhance personalization and discovery.
Explored multi-year World Happiness Report & OECD data to identify top factors influencing happiness across 50+ countries.
Predicted income brackets using demographic and occupational features, with an emphasis on model fairness and interpretability.
Designed a scalable database and analytics solution for music streaming data, enabling real-time insights into user listening habits and genre trends.
Explores key Explainable AI techniques, helping us understand how black-box models make decisions.
A beginner-friendly introduction to Explainable AI — making machine learning models transparent and trustworthy.
Covers the basics of time series data, analysis techniques, and applications for forecasting.
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!