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I am Kelvin Emwinghare, a Senior Data Scientist with 6+ years building production ML systems, data pipelines, and analytics platforms. I specialize in credit risk modeling, fraud detection, and product analytics, with hands-on experience in Snowflake, dbt, Meltano, Prefect, and real-time scoring architectures. I have delivered end-to-end solutions across fintech and consulting, including RAG architectures and cross-jurisdiction AML compliance, driving measurable business impact.…I am Kelvin Emwinghare, a Senior Data Scientist with 6+ years building production ML systems, data pipelines, and analytics platforms. I specialize in credit risk modeling, fraud detection, and product analytics, with hands-on experience in Snowflake, dbt, Meltano, Prefect, and real-time scoring architectures. I have delivered end-to-end solutions across fintech and consulting, including RAG architectures and cross-jurisdiction AML compliance, driving measurable business impact.

Kelvin Emwinghare

Data Scientist, Data Visualizer, AI Engineer, +3

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I am Kelvin Emwinghare, a Senior Data Scientist with 6+ years building production ML systems, data pipelines, and analytics platforms. I specialize in credit risk modeling, fraud detection, and product analytics, with hands-on experience in Snowflake, dbt, Meltano, Prefect, and real-time scoring architectures. I have delivered end-to-end solutions across fintech and consulting, including RAG architectures and cross-jurisdiction AML compliance, driving measurable business impact.…I am Kelvin Emwinghare, a Senior Data Scientist with 6+ years building production ML systems, data pipelines, and analytics platforms. I specialize in credit risk modeling, fraud detection, and product analytics, with hands-on experience in Snowflake, dbt, Meltano, Prefect, and real-time scoring architectures. I have delivered end-to-end solutions across fintech and consulting, including RAG architectures and cross-jurisdiction AML compliance, driving measurable business impact.

Available to hire

I am Kelvin Emwinghare, a Senior Data Scientist with 6+ years building production ML systems, data pipelines, and analytics platforms.

I specialize in credit risk modeling, fraud detection, and product analytics, with hands-on experience in Snowflake, dbt, Meltano, Prefect, and real-time scoring architectures. I have delivered end-to-end solutions across fintech and consulting, including RAG architectures and cross-jurisdiction AML compliance, driving measurable business impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Senior Data Scientist at CoinList

September 1, 2024 - November 4, 2025

Led a hybrid LLM and ML-driven fraud detection system for fiat on-ramp AML across multiple jurisdictions, reducing manual reviews by 34% and increasing fraud detection by 27%. Implemented staking reward calculations in dbt for 242k+ users, contributing to 100k+ new users and $5M+ staking AUM. Built a forecast solution with XGBoost and rule-based logic to predict weekly withdrawal volumes, improving liquidity and revenue by $300k+. Designed and maintained Omni and Mode dashboards for fiat on-ramp, staking, and distributions, enabling near real-time visibility. Owned end-to-end data ingestion pipelines with Meltano and Prefect, including custom taps and Snowflake ingestion; automated Terraform provisioning.

Experienced Associate (Software Dev & Analytics) at PwC Canada

September 1, 2024 - September 1, 2024

Built a web application for claims administration using JavaScript, Apex, and Visualforce; improved case processing efficiency and reduced manual handling by ~25%. Developed Salesforce reports and dashboards; created a POC LLM-powered analysis system using Azure OpenAI GPT-4 to automate case investigations and improve compliance review accuracy. Designed ETL pipelines moving Salesforce data to Azure databases for integration with Microsoft Fabric, with incremental loads and data validation, reducing data discrepancies by ~36%.

Data Scientist (Credit & Fraud Risk) at Izi Finance

August 1, 2023 - August 1, 2023

Developed credit risk scorecards using ensemble methods (XGBoost, Random Forest) and logistic regression; processed 7k+ applications daily. Built real-time feature engineering pipelines in dbt and Prefect, incorporating transaction analysis with embeddings and behavioral analytics (13k+ daily). Implemented one-shot learning speaker verification for KYC with 97% accuracy. Created automated monitoring dashboards in Amazon Quicksight to track model performance and risk indicators; designed A/B testing framework for policy optimization, increasing legitimate approvals by 18%.

Data Scientist (Credit Risk & Product Analytics) at Carbon Finance

August 1, 2021 - August 1, 2021

Built credit risk scoring models using gradient boosting and logistic regression; analyzed 700k+ records to achieve 2% default rate in low-risk segments. Engineered ETL pipelines in Apache NiFi to ingest banking transactions into BigQuery for analytics, product performance tracking, and cohort analysis. Developed automated Tableau dashboards for risk scores, product metrics, cohort behavior, and vintage analysis guiding $4.5M+ monthly loan disbursement decisions. Created dbt models for feature engineering and deployed ML-based real-time decisioning APIs with sub-100ms latency, integrated with core banking systems.

Experienced Associate (Software Dev & Analytics) at PwC Canada

September 1, 2023 - September 1, 2024

Built a web application for claims administration using JavaScript, Apex, and Visualforce, improving case processing efficiency and reducing manual handling by ~25%. Developed Salesforce reports and dashboards to monitor claims administration activities and performance metrics. Built a POC LLM-powered analysis system using Azure OpenAI GPT-4 within Salesforce, automating case investigations and enhancing compliance reviews. Designed ETL pipelines to move Salesforce data to Azure databases for integration with Microsoft Fabric, implementing incremental loads and data validation that reduced data discrepancies by ~36%.

Data Scientist (Credit & Fraud Risk) at Izi Finance

September 1, 2021 - August 1, 2023

Developed credit risk scorecards using ensemble methods (XGBoost, Random Forest) and logistic regression, processing 7K+ applications daily. Built real-time feature engineering pipelines in dbt and Prefect for transaction analysis using BERT embeddings and behavioral analytics. Implemented one-shot learning speaker verification for KYC with 97% accuracy. Created automated monitoring dashboards in Amazon QuickSight tracking model performance, population stability, and risk indicators, enabling proactive recalibration. Designed A/B testing framework for credit policy optimization, increasing legitimate approvals by 18% while maintaining risk levels.

Data Scientist (Credit Risk & Product Analytics) at Carbon Finance

July 1, 2019 - August 1, 2021

Built credit risk scoring models using gradient boosting and logistic regression, analyzing 700K+ records to achieve 2% default rate in low-risk segments. Engineered ETL pipelines in Apache NiFi ingesting banking transaction data into BigQuery for analytics, product metrics, and cohort analysis. Built automated analytics dashboards in Tableau tracking customer risk scores, product metrics, cohort behavior, and vintage analysis, informing $4.5M+ monthly loan disbursement decisions. Developed dbt models for credit feature engineering, including payment velocity and utilization patterns, with dimensional modeling across 100K+ customers. Deployed ML-driven prediction APIs with sub-100ms inference latency for real-time underwriting, integrated with core banking systems.