Samuel Surulere Email & Phone Number

I am an experienced Data Scientist with a strong academic and teaching foundation. My transition from academia to data science was driven by my passion for solving real-world problems, which I found limited in theoretical research. Today, I combine my mathematical expertise with both traditional and advanced data science techniques to deliver impactful, data-driven solutions. I specialize in transforming complex data into actionable insights that help businesses optimize decision-making and drive growth.Some of my core competencies are outlined below:Traditional Machine Learning - Proficient in predictive modeling (classification, regression, customer segmentation, clustering), causal inference, and experimentation.Data Processing & Visualization - Skilled in Python, R, SQL, and visualization tools like Tableau, Matplotlib, and Seaborn for presenting insights.Mathematical Modeling & Optimization - Extensive knowledge in mathematical optimization using least squares method for estimating parameters of interatomic potentials. Numerical solutions of original nonlinear PDEs/ODEs (based on interatomic potentials) using numerical method of lines technique.MLOps, Cloud Technologies & Deployment - Experience with MLflow, Jenkins, Docker, and deploying models via CI/CD pipelines, deploying models as API endpoints using Flask, FastAPI or through UIs like Streamlit, Gradio and deploying models on cloud platforms like Railway, Cloud66, AWS.NLP & Generative AI - Proficient in NLP frameworks like NLTK, spaCy, building production-grade RAG architectures, finetuning open-source LLMs to build custom generative AI apps. Experienced in deploying LLM apps using Hugging Face, transformers, vLLM and Ollama. Fluent in employing tools from the LangChain ecosystem to build custom AI apps. Experienced in working with LlamaIndex to build language model frameworks.Soft Skills - Mentored graduate students, collaborated with colleagues on research, fast learner, adaptive thinker, monitored and managed research projects timelines.With a solid foundation in mathematics and a growing curiosity for using data science to solve business problems, I am always looking forward to growing expertise in driving innovation and delivering results within collaborative and dynamic environments. Please DM me if interested in learning about how to transition to tech space (data in particular). If you are interested in adapting Generative AI solutions or for collaborations, also send me a DM.

Listed skills include Microsoft Office, Latex, Mathematical Analysis, Mathcad, and 5 others.