Open to opportunities

Netsi Lemma

@netsilemma

Message

Applied data scientist delivering production ML and GenAI across banking and healthcare.

United States

Message

What I'm looking for

I’m looking for a team where I can build and deploy production ML/GenAI end-to-end, using MLOps, model monitoring, and CI/CD, and collaborate closely with engineers and stakeholders to translate predictive insights into real business impact.

I’m an Applied Data Scientist with 5+ years of experience developing and deploying machine learning and AI solutions across banking, healthcare, and insurance. I focus on predictive modeling, Generative AI, NLP, and cloud-based ML, using Python and SQL alongside AWS and Azure tooling to turn models into scalable, production-ready systems through MLOps.

In my current role at M&T Bank, I lead production-ready work for credit risk modeling, customer segmentation, and predictive analytics, and I’ve delivered measurable gains like improving loan approval accuracy by 32% and reducing manual risk assessment time by 45%. I’ve also built fraud detection models over 5M+ transactions (78% to 94% accuracy, 27% fewer false positives) and automated ETL plus deployment workflows serving 500K+ customers, while partnering across teams to operationalize insights via Power BI and Tableau.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

M&T Bank

Aug 2024 - Present (2 years)

Led production-ready machine learning for credit risk modeling, customer segmentation, and predictive analytics, improving loan approval accuracy by 32% and reducing manual risk assessment time by 45%. Developed fraud detection on 5M+ transactions and built automated ETL and ML deployment workflows for banking applications serving 500K+ customers.

Python SQL scikit learn Credit Risk Modeling Customer Segmentation Predictive Analytics Fraud Detection ETL REST APIs CI CD Power BI Tableau

AI & Machine Learning Engineer

Epic Systems

May 2023 - Jul 2024 (1 year 2 months)

Designed machine learning models on EHR data to improve patient readmission prediction accuracy by 22%. Engineered cloud ML pipelines and implemented NLP and Generative AI solutions using Hugging Face and LangChain, deploying production AI via REST APIs with CI/CD and model monitoring.

PyTorch TensorFlow scikit learn AWS Sagemaker Azure ML Databricks Airflow Kafka NLP Generative AI Hugging Face Lang Chain Transformers REST APIs CI CD Model Monitoring

Data Scientist

HDFC ERGO General Insurance

Apr 2022 - Apr 2023 (1 year)

Developed machine learning models to improve underwriting decisions, increasing prediction accuracy by 30% and reducing underwriting time by 40%. Built fraud detection for 8M+ insurance claims and automated ETL workflows with Power BI/Tableau dashboards to reduce reporting effort by 40%.