Siddharth Ranjan

Background

About Siddharth Ranjan

I am a Data Scientist and Engineer pursuing a Master’s in Data Science, Analytics, and Engineering at Arizona State University. At BLUU KAZI Inc, I led AI engineering to build a semantic matching engine and PDF parser using Gemini text embeddings, NLP, and similarity scoring with dynamic field weighting which boosted recruiter candidate compatibility by 40% and cut processing time by 30%. I designed and deployed scalable AWS pipelines with Lambda, SQS, DynamoDB, PostgreSQL, and FastAPI, using Dockerized inference services and GitLab CI/CD, integrated vector databases for embeddings, and implemented JSON fallbacks for malformed PDFs to ensure accuracy and resilience. With expertise in machine learning, scalable systems, and process optimization, I deliver data driven solutions that improve hiring accuracy, efficiency, and user satisfaction. In academics, I developed Swin Transformer models that delivered a 30% improvement in diagnostic accuracy, and U-Net segmentation systems that achieved 92% precision for medical imaging. I built phishing detection systems with 97% accuracy, and conducted predictive modeling with LSTM and sentiment analysis using FinBERT to automate portfolio adjustment decisions for improved investment outcomes. I also integrated NLP and retrieval augmented generation with LLaMA and FAISS to enable context aware and intelligent financial question answering. Skilled in Python, SQL, Power BI, and TensorFlow, I visualized performance trends with advanced analysis and interactive dashboards using D3.js, creating clear insights for decision making. Whether optimizing workflows, driving inclusion through data, or solving complex problems, I strive to make a meaningful impact through innovative data driven strategies. Let’s connect!