Pre-screened and vetted.
Junior Mathematics and Business student specializing in analytics and data-driven decision-making
“Entry-level analytics candidate with hands-on experience in education data, combining SQL, Python, and Tableau to build reporting tables, reproducible workflows, and dashboards for student engagement and performance. Stands out for translating messy multi-source data into practical tools that helped academic teams identify at-risk students earlier and target support more effectively.”
“Built and shipped a production-grade RAG-powered news summarization and Q&A product, tackling real-world issues like retrieval drift, hallucinations, latency, and autoscaling deployment (Docker + FastAPI + Streamlit Cloud). Experienced in end-to-end ML/LLM workflow automation using Airflow, Kubeflow Pipelines, and MLflow, and has demonstrated business impact (40% inference precision improvement) through close collaboration with non-technical stakeholders at Evoastra Ventures.”
Junior Full-Stack Developer specializing in React, Node.js, and AI/ML
Entry AI Engineer specializing in machine learning, computer vision, and data mining
Entry Data Scientist specializing in applied mathematics and predictive modeling
Intern Machine Learning Engineer specializing in NLP, RAG, and time-series forecasting