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I am an AI/ML Engineer with a passion for turning data into actionable business insights. I design and deploy end-to-end predictive models, build automated pipelines, and apply advanced analytics to solve real-world problems in business settings. I have hands-on experience with Python-based ML frameworks, cloud-based ML solutions, and model explainability. I enjoy collaborating with cross-functional teams to deliver responsible, fair, and compliant AI solutions that drive measurable impact.…I am an AI/ML Engineer with a passion for turning data into actionable business insights. I design and deploy end-to-end predictive models, build automated pipelines, and apply advanced analytics to solve real-world problems in business settings. I have hands-on experience with Python-based ML frameworks, cloud-based ML solutions, and model explainability. I enjoy collaborating with cross-functional teams to deliver responsible, fair, and compliant AI solutions that drive measurable impact.

Snehitha Penumaka

Data Scientist, AI Engineer, Data Analyst, +2

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I am an AI/ML Engineer with a passion for turning data into actionable business insights. I design and deploy end-to-end predictive models, build automated pipelines, and apply advanced analytics to solve real-world problems in business settings. I have hands-on experience with Python-based ML frameworks, cloud-based ML solutions, and model explainability. I enjoy collaborating with cross-functional teams to deliver responsible, fair, and compliant AI solutions that drive measurable impact.…I am an AI/ML Engineer with a passion for turning data into actionable business insights. I design and deploy end-to-end predictive models, build automated pipelines, and apply advanced analytics to solve real-world problems in business settings. I have hands-on experience with Python-based ML frameworks, cloud-based ML solutions, and model explainability. I enjoy collaborating with cross-functional teams to deliver responsible, fair, and compliant AI solutions that drive measurable impact.

Available to hire

I am an AI/ML Engineer with a passion for turning data into actionable business insights. I design and deploy end-to-end predictive models, build automated pipelines, and apply advanced analytics to solve real-world problems in business settings.

I have hands-on experience with Python-based ML frameworks, cloud-based ML solutions, and model explainability. I enjoy collaborating with cross-functional teams to deliver responsible, fair, and compliant AI solutions that drive measurable impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Data Engineer at Capital One

May 1, 2025 - October 15, 2025

Built end-to-end machine learning pipelines using MLOps practices to automate model training, deployment, and monitoring for digital banking products. Designed batch inference workflows on AWS SageMaker and Lambda, integrated with Databricks, to deliver real-time credit risk scoring and personalized recommendations, reducing model latency by 35%. Applied NLP methods, including Retrieval-Augmented Generation (RAG) models with FAISS, to analyze customer feedback and transaction data, improving personalization and fraud detection. Collaborated with data scientists, risk teams, and engineers to fine-tune models through hyperparameter optimization and fairness algorithms, increasing model precision by 15% while maintaining compliance and explainability.

Data Engineer at CAMP Systems International

July 1, 2023 - October 15, 2025

Led the deployment of supervised and unsupervised machine learning models to automate aviation data validation, using advanced data structures to reduce manual review by 40% and improve accuracy. Created anomaly detection solutions with Python and Scikit-Learn to identify rare patterns in aircraft operational data, strengthening predictive maintenance efforts and improving data systems for faster processing. Added model explainability using SHAP and LIME, along with monitoring tools, to track model behavior and feature contributions, speeding up model approval and building stakeholder trust.

Data Engineer at Air India

March 1, 2022 - October 15, 2025

Analyzed aviation datasets using Python and SQL to identify trends, detect anomalies, and support predictive maintenance, improving financial decision-making by 21%. Created Power BI dashboards integrated with predictive analytics models built using TensorFlow and Scikit-Learn to visualize key metrics such as revenue forecasts, customer churn risks, and fleet operational efficiency scores. Streamlined ETL processes using Python and SQL to prepare data for machine learning, boosting pipeline reliability and reducing manual work by 40%.