Rashi Wase

I'm a Data Scientist with 2+ years of experience building data-driven solutions across recruitment technology, retail, and financial services. My work spans machine learning, analytics, forecasting, business intelligence, and AI-powered applications, with a strong focus on turning complex data into actionable insights that drive business decisions. In my most recent role, I developed a semantic candidate matching system using OpenAI embeddings and Pinecone that improved recruiter search efficiency by 30%. I've also built scalable ETL pipelines, interactive Power BI and Tableau dashboards, customer segmentation models, demand forecasting solutions, and predictive machine learning models for credit risk and compensation analytics. I enjoy solving end-to-end data problems—from collecting and cleaning data to developing models, visualizing insights, and deploying production-ready solutions. My technical expertise includes Python, SQL, PySpark, Power BI, Tableau, AWS, PostgreSQL, MongoDB, and machine learning frameworks such as scikit-learn. I also have hands-on experience with NLP, semantic search, statistical analysis, hypothesis testing, A/B testing, and cloud-based data workflows. I hold a Master's degree in Applied Artificial Intelligence with a 3.96 GPA and enjoy collaborating with cross-functional teams in Agile environments. I'm looking for a remote Data Scientist or Data Analyst role where I can leverage data, AI, and analytics to solve meaningful business problems, contribute to product and business strategy, and continue growing while delivering measurable impact.