Nikhil Ganorkar

DevOps Engineer

Pune, Maharashtra, India0 mo experience

Key Highlights

Achieved 50% boost in model accuracy using deep learning.
Elevated financial forecasting insights generation by 40%.
Designed fraud detection models with 95% precision.

Stackforce AI infers this person is a Fintech and AI specialist with a focus on machine learning and data integrity.

Contact

Skills

Core Skills

Deep LearningComputer VisionData IntegrityMachine Learning

Other Skills

AUC-ROCAWS SageMakerAmazon BedrockAmazon Web Services (AWS)Analytical SkillsAnalyticsC++Campaign Performance AnalysisComputer ScienceConvolutional Neural Networks (CNN)Credit Card Fraud PreventionData AnalysisData IntegrationData ModelingData Science

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Virtuecloud

DevOps Engineer (AI/ML)

Aug 2025 – Present · 10 mos · Pune, Maharashtra, India · Hybrid

Keen embedded solutions

AI/ML Intern

Jan 2022 – May 2022 · 4 mos

Enhanced computer vision solutions using deep learning frameworks (TensorFlow, PyTorch), boosting model accuracy by 50%.
Optimized data model, reducing processing time by 20%, and improving system efficiency.
Implemented data integration techniques that elevated financial forecasting models, achieving a 40% increase in the speed of generating actionable insights while ensuring data integrity.
Designed and implemented machine learning models (Random Forest, Gaussian Naive Bayes) to detect credit card fraud, achieving 95% precision on imbalanced datasets.
Achieved a 30%reduction in processing time by applying efficient class balancing methods tailored specifically for imbalanced datasets, resulting in accelerated project timelines without compromising analysis depth or output quality.
Refined model performance through thorough evaluation using AUC-ROC and F1 score metrics, optimizing predictive accuracy.

TensorFlowPyTorchData IntegrationRandom ForestGaussian Naive BayesAUC-ROC+3