Nihal Barne

About Nihal Barne

Data Scientist |Machine Learning Engineer | Generative AI Expert | Data-Driven Problem SolverI am a AI Engineer with 8 years of practical experience in developing and deploying machine learning models for applications like fraud detection, customer segmentation, and vehicle damage assessment. I hold a Master of Computer Applications in Data Analytics from Jain University (graduating with a 90% score), a Bachelor of Commerce degree specializing in Statistics, and a Master’s in Artificial Intelligence. Additionally, I am IABAC Certified as a Data Scientist and have earned a Generative AI certification from NVIDIA.My technical expertise spans Python, SQL, Power BI, Tableau, XGBoost, K-Means Clustering, and Convolutional Neural Networks (CNN), among other tools. I have a strong focus on model optimization, performance monitoring, and collaborating with cross-functional teams to deliver solutions that align with business goals. I also have hands-on experience with AWS SageMaker, MySQL, MongoDB, and cloud computing services, ensuring smooth and scalable deployments.Key areas of my experience include:Fraud detection using advanced ML techniquesCustomer segmentation for risk management and targeted marketingCNN-based vehicle damage assessmentGenerative AI applicationsData preprocessing, feature engineering, and statistical modelingI excel in conveying complex data insights to both technical and non-technical audiences, ensuring that data-driven solutions are understood and actionable. I am a highly motivated professional with a passion for continuous learning, committed to leveraging data and AI to drive meaningful impact and innovation.

Experience

1. Artificial Intelligence Engineer

   EY

   Jun 2025 — Present · Pune, IN

   Worked on fraud detection for a bank, developing and implementing AI and machine learning solutions to identify and investigate fraudulent transactions using models such as XGBoost and Isolation Forest. Currently a Manager at EY in the Fraud Detection department, leading fraud risk assessments and investigations while designing advanced analytics solutions, including Agentic AI and Generative AI–driven frameworks, to enhance fraud detection, prevention, and financial crime mitigation.

Education

• Jain (Deemed-to-be University)

  Master of Computer Applications - MCA, Artificial Intelligence