
Senior Data Scientist with 8+ years of experience in developing end-to-end credit risk models across banking and FinTech domains. Proven expertise in the full model lifecycle, including data processing, feature engineering, model development, deployment, monitoring, performance evaluation, and continuous improvement. Proficient in working with traditional bureau data, alternative data sources, and unstructured data such as text and social network signals. Hands-on experience with tools including Python, SQL, Hive, Spark, and Snowflake. Strong at turning complex problems into scalable solutions and communicating insights to non-technical stakeholders.
Domain Expertise: Extensive knowledge of credit risk modeling, consumer lending, and the banking industry
Programming Languages: Python (advanced), SQL (advanced), Java (intermediate), SAS (intermediate)
Machine Learning & Analytics: Experienced in statistical modeling, supervised/unsupervised learning, natural language processing (NLP), and deep learning
Libraries & Frameworks: Proficient with scikit-learn, pandas, NumPy, Keras, matplotlib
Big Data Technologies: Hands-on experience with Hive, Spark, Hadoop, and Snowflake for large-scale data processing