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MADHURYA BELLAMKONDA

@madhuryabellamkonda

Message

I build production machine learning platforms, risk models, and AWS MLOps pipelines for enterprise decisions.

South Africa

Message

At Mentorspark Technologies, I build enterprise knowledge retrieval platforms and advanced risk models on AWS, turning unstructured compliance files and engineering data into production-ready analytics. I engineered containerized document ingestion, semantic search with Amazon OpenSearch, and MLOps workflows using SageMaker Pipelines, MLflow, DVC, and CodePipeline.

Across Mahindra & Mahindra, GSPANN, and earlier analytics roles, I've delivered predictive modeling, vehicle-safety analysis, computer vision, and forecasting solutions. My work includes crash prediction at approximately 92% accuracy, Faster R-CNN face-mask detection, transfer-learning classifiers, and scalable ML deployment for domain teams.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Scientist

Current

Mentorspark Technologies

May 2025 - Present (1 year 4 months)

Designed and engineered an enterprise-grade automated data extraction and knowledge retrieval platform integrated with Amazon S3 data lakes and AWS database infrastructures. Implemented advanced embedding-based semantic search indices using Amazon OpenSearch and established a robust production-level MLOps pipeline using AWS SageMaker Pipelines and AWS CodePipeline.

AWS Sagemaker AWS Lambda AWS Amplify MLFlow DVC OpenSearch AWS CodePipeline MLOps Data Lake Semantic Search Containerization Microservices

Data Scientist

Mentorspark Technologies

Sep 2023 - Jun 2024 (9 months)

Managed end-to-end ML workflow including data extraction from FE models using Altair HyperWorks. Built and fine-tuned multiple ML algorithms for Max Displacement and Buckling Classification, achieving 99% train and 92% test accuracy.

Altair Knowledge Studio data preprocessing EDA Machine Learning Classification Model Deployment

AI and ML Engineer

Mahindra & Mahindra

Sep 2022 - Aug 2023 (11 months)

Collaborated with domain teams to define use cases and review technical literature for drag coefficient prediction. Built and optimized predictive models including XGBoost, Linear Regression, and deep learning neural networks with hyperparameter tuning.

XGBoost Decision Trees Deep Learning Hyperparameter Tuning AutoML EDA Feature Engineering

Data Analyst

GSPANN

Mar 2021 - Aug 2021 (5 months)

Developed a real-time computer vision solution to detect face masks in streaming video with bounding boxes and confidence scores. Built and fine-tuned a Faster R-CNN model using pre-trained Inception V2 weights, achieving real-time inference at 0.47 FPS.

Computer Vision Faster RCNN TensorFlow Object Detection Image Processing Model Evaluation

IT Analyst

Intelenet Global Services Pvt. Limited

Jul 2016 - Mar 2017 (8 months)

Analysed large volumes of end-user feedback from Google applications to identify recurring issues and defects. Conducted systematic defect triage by evaluating bug frequency, severity, and user experience impact.

Defect Triage Root Cause Analysis Data Analysis Collaboration Prioritization