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Soujanya Jagadish is an AI Data Scientist with hands-on experience in applying machine learning, deep learning, and data analytics to solve business challenges in education, finance, and consumer goods domains. She has worked as a consultant in organizations such as Fund Abroad and Edufund, where she designed automated dashboards, optimized lead categorization using ML models, and developed data-driven decision systems. As a freelancer, she contributed to projects on text-based emotion recognition and NLP, leveraging advanced frameworks like Hugging Face and PyTorch. She also executed academic-industry collaborations, including demand-supply optimization for the FMCG sector, showcasing her ability to apply AI to real-world business applications.
Artificial Intelligence & Machine Learning (Logistic Regression, Gradient Boosting, Random Forest, Neural Networks)
Natural Language Processing (NLP) & Text Analytics (Emotion recognition, Transformers, Hugging Face)
Data Science & Business Analytics (Predictive Modeling, Statistical Modeling, Forecasting)
Data Visualization & Dashboards (Power BI, automated reporting, exploratory data analysis)
Business Applications of AI (Education, FMCG, Finance)
Tools & Technologies: Python, TensorFlow, PyTorch, Hugging Face, Pandas, Scikit-learn