• 🔭 I’m currently working on ... Columbia University coursework, Full-time Software Engineering/Quantitative Analysis/Machine Learning Opportunities.
• 🌱 I’m currently learning ... Financing and Structuring for Data Science, Natural Language Generation and Summarization
• 👯 I’m looking to collaborate on ... Any projects that solve real-world, challenging problems using Computer Science.
• 💬 Ask me about ... Natural Language Processing, Software Engineering, Financial Modeling, Data Science, Customer Relationship Management
• 📫 How to reach me: ... LinkedIn: https://www.linkedin.com/in/prahlad-koratamaddi/
• 😄 Pronouns: ... He/Him

1. Solving problems using C/C++, Java, Python, C#.NET, SQL, Apex.
2. Developing applications for desktop and mobile using HTML/CSS/JavaScript, Bootstrap, Flutter, Django, Salesforce Lightning, Dynamics 365, and Power Platform.
3. Designing Machine Learning and Speech Analysis models on Tensorflow, PyTorch, NLTK, Scikit-Learn, Kaldi, and Praat.
4. Analyzing data using Pandas, NumPy, SciPy, and Matplotlib.
5. Engineering Federated Search using Azure Cognitive Search, Elastic, and Google Cloud Analytics.
6. Managing data stored in PostgreSQL, MySQL, Oracle RDBMS, Microsoft SQL Server, and Azure Cosmos DB, Amazon Web Services (AWS) S3, DynamoDB.
7. Following CI/CD, Agile, and version control methodologies using Jenkins, JIRA, and Git/BitBucket.
8. Scaling applications on Azure, AWS, and Google Cloud. I'm also familiar with Linux Shell programming.
9. Working with Swagger, YAML, JSON, REST, and SOAP APIs.
10. Building financial analysis models and intelligent autonomous agents, particularly for the stock market.

I have ~2 years of Software Engineering experience at Visa Inc., where I received multiple Gold "Above and Beyond" awards for demonstrating leadership principles and delivering on several Customer Relationship Management (CRM) requirements. I currently pursue a Master of Science in Computer Science at Columbia University in the City of New York, specializing in Natural Language Processing. I graduated in 2020 from NIT Warangal with a bachelor's degree in CS, completing my studies on full scholarship and achieving distinction.

My society-centric projects on Machine Learning broadly cover its applications in finance and healthcare, including depression diagnosis and stock portfolio allocation. These endeavors led one of my first-authored papers to receive the Best Paper Award at the ACM Joint International Conference on Data Science and Management of Data (CODS COMAD) 2021, and another to receive an acceptance for publication from Engineering Science and Technology, an International Journal by Elsevier. My team's work was also published in Engineering Science and Technology, an International Journal by Elsevier, achieving 25+ citations in 2 years. I also surveyed the effects of large language models in Speech Recognition as part of Columbia's Fundamentals of Speech Recognition.

1. Market Sentiment-Aware Deep Reinforcement Learning Approach for Stock Portfolio Allocation: https://www.sciencedirect.com/science/article/pii/S2215098621000070
2. A Multi-Agent Reinforcement Learning Approach for Stock Portfolio Allocation: https://dl.acm.org/doi/abs/10.1145/3430984.3431045