I'm a Data Scientist and a graduate student at Columbia University (4.00 GPA), passionate about building intelligent systems that solve real-world problems. My work lives at the intersection of Artificial Intelligence, NLP, and complex data visualization, with current projects spanning from AI for peace studies to bioinformatics in the biotech space.
My academic foundation includes a Bachelorβs in Data Science from Symbiosis University, complemented by certifications from Kaggle and DataCamp.
π¬ AI / Bioinformatics Intern @ Swaza (Summer 2025) Tackling data visualization challenges in space-omics research, collaborating with NASA-affiliated projects.
- My core mission is to address scientific reviewer feedback on a multi-variable study investigating the effects of microgravity on mitochondrial function across species.
- I am developing novel visualization strategies to distill complex, 7-variable heatmaps into clear, interpretable graphics, making intricate biological patterns understandable at a glance.
ποΈ AI Research Fellow @ Columbia's Sustaining Peace Project (AC4) Leveraging NLP and ML to analyze peace and conflict dynamics across global media platforms.
- Fine-tuning models with transfer learning to measure peace and hate speech in news and YouTube content.
- Building supervised learning pipelines with LLMs to classify speech patterns in video transcripts.
- Engineering a scalable analysis framework using Retrieval-Augmented Generation (RAG) and vector databases.
- Developing "Mirror Mirror," a Chrome extension for real-time content analysis and visualization.
- Languages: Python, R, SQL
- ML/DL Frameworks: PyTorch, TensorFlow, Scikit-learn, Transformers
- NLP/LLM Techniques: Text Classification, Transfer Learning, RAG, Vector Databases, LLM Fine-tuning
- Data & Deployment: Pandas, NumPy, Matplotlib, Seaborn, Plotly, Docker, Flask, FastAPI
- Cloud & DBs: AWS (Boto3), Google Cloud Platform (GCP), SQL
Iβm actively seeking Fall 2025 internship opportunities and Full-Time roles upon graduation in January 2026 where I can contribute to impactful data science projects in a collaborative, fast-paced environment.
Letβs connect and build something amazing!
- π« Reach me at: pg2833@columbia.edu
- π Connect on LinkedIn: linkedin.com/in/pranav-gilda ```