Tanisha Sikder

Engineered and optimized end-to-end ML pipelines for internal AI products, managing data cleaning and feature engineering for datasets exceeding 500k+ records. Designed and evaluated RAG-based workflows, performing iterative error analysis that reduced generation failure cases by 15%. Conducted exploratory data analysis (EDA) to surface data quality issues, informing feature design that improved offline model accuracy by 8%.

Data Scientist (Production-Oriented) at RoleColorFinder (2025-12 – Present)

• Engineered and optimized end-to-end ML pipelines for internal AI products, managing data cleaning and feature engineering for datasets exceeding 500k+ records.
• Designed and evaluated RAG-based workflows, performing iterative error analysis that reduced generation failure cases by 15%.
• Conducted exploratory data analysis (EDA) to surface data quality issues, informing feature design that improved offline model accuracy by 8%.
• Containerized and deployed microservices using Docker and AWS, reducing manual deployment steps by 50% through automated CI scripts.
• Developed robust preprocessing pipelines for structured assessment-scoring tasks in scikit-learn, integrating imputation and scaling to lift model evaluation metrics.

Data Science/ML Intern at RoleColorFinder (2025-09 – 2025-12)

• Built data preprocessing and modeling pipelines for an assessment-scoring task; cleaned and processed structured records and improved offline model metrics through feature work and tuning.
• Created domain-specific features from data (missing-value handling, encoding, scaling) and integrated them into scikit-learn-style pipelines. Reviewed model predictions to identify common error patterns.
• Built predictive ML models directly integrated into the core product, driving personalized user experiences and boosting feature engagement.
• Analyzed consumer behavioral data and designed A/B tests to validate model performance, optimizing conversion rates across key user segments.

Bachelor of Science in Software Engineering – Miami University, Oxford (2026)