Ranjith R.
Data Scientist
Experience
Data Scientist
Tiger Analytics
- Developed deterministic pipelines to support credit eligibility assessment and campaign analytics, ensuring reproducible outputs and traceable reasoning.
- Designed and implemented end-to-end analytical workflows for large-scale financial datasets (300M+ records), covering data ingestion, cleansing, feature engineering, modeling, and validation.
- Formulated real-world business problems into computationally intensive tasks, enabling scenario analysis, segmentation, forecasting, and performance evaluation.
- Verified model outputs and analytical results through systematic validation and sanity checks before stakeholder delivery.
- Documented analytical assumptions, transformations, and modeling decisions to support reuse and auditability.
Data Scientist
Data Sutram
- Designed full data science problem pipelines for underwriting, fraud detection, and market expansion use cases using large, heterogeneous datasets.
- Implemented Python-based analytical solutions spanning exploratory data analysis, feature engineering, modeling, validation, and interpretation.
- Created repeatable analytical frameworks to assess regional performance and acquisition strategies, increasing market share by 21%.
- Built and validated anomaly detection and recommendation models with clearly defined evaluation criteria and reproducible results.
- Collaborated on key performance indicator definition and analytical problem framing to align business objectives with technical solutions.
Data Scientist
Karus.ai
- Designed and validated credit risk modeling problems for U.S. auto loan portfolios, incorporating statistical reasoning and predictive modeling.
- Built end-to-end Python workflows for data extraction, preprocessing, modeling, and evaluation within production constraints.
- Improved existing models through structured experimentation and controlled comparisons.
- Automated data collection pipelines for forecasting models, ensuring repeatability and consistency across runs.
Summary
Data Scientist with 4+ years of experience in analytics, forecasting, and experimentation support across consulting and fintech environments. Strong background in marketing and customer analytics, including segmentation, attribution-oriented analysis, and decision support for acquisition and cross-sell strategies.
Experienced in building and validating predictive models, designing experiments, and working closely with business stakeholders to translate analytical outputs into clear, actionable marketing and strategic decisions. Strong focus on model rigor, data quality, and scenario-based analysis to support confident decision-making.
Languages
Education
GISMA University of Applied Sciences
Master in Data Science, AI & Digital Business · Data Science, AI & Digital Business · Potsdam, Germany
University of Mumbai
Bachelor in Mechanical Engineering · Mechanical Engineering · Mumbai, India
Certifications & licenses
Google IT Automation Professional Certificate
IBM Data Science Professional Certificate
IBM
IBM Machine Learning Professional Certificate
IBM
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