Mohammed Nayeem

I am an aspiring analyst pursuing an integrated M.Sc. in Software Systems with hands-on experience applying Python and SQL to financial datasets. I focus on delivering clear, automated dashboards and actionable insights for finance teams.

During a junior analyst internship at JP Morgan Chase, I improved data quality and automated KPI reporting, creating liquidity and interest-risk visualizations used by front-office and compliance stakeholders. I have also worked as a product owner intern building RESTful Python/Flask APIs and supporting a React UI for financial products.

My projects span full ML pipelines: a Fake News Detection and Reddit Sentiment Analysis web app using ensemble models and transformers, and a production-style RAG chatbot using LangChain and Google Generative AI for document QA and summarization. I implement NLP preprocessing, vector retrieval, and deployment-ready APIs.

I bring strengths in data engineering, model implementation, and product-focused delivery, with tools including Pandas, NumPy, Scikit-learn, Flask, Docker, and MySQL/Oracle. I seek roles where I can combine fintech analytics, data engineering, and product thinking to drive measurable business outcomes.