Shrutika Bhapkar Email & Phone Number

Pune, Maharashtra, India

Hyderabad, Telangana, India

• ARR is based on rule-based path planning / Shortest Path Finding (SPF) algorithms which helps to find the optimal path in presence of hazards on the flight path.
• Developed flight path optimization tool using A* algorithm and Theta* algorithm which is core ARR.
• Integrate ML algorithm with existing algorithm in ARR core.
• Developed a state-of-the-art visual inspection model for the aerospace industry, leveraging AWS Cloud services to optimize image processing capabilities, model development, and scalability.
• Utilized AWS S3 for secure and efficient storage of large volumes of high-resolution aerospace images, enabling seamless access and retrieval for preprocessing and analysis.
• Leveraged AWS SageMaker for building, training, and deploying deep learning models, such as convolutional neural networks (CNNs), to accurately detect and classify defects, anomalies, and quality issues in aerospace.

India

• Developed a predictive model for credit risk assessment in the finance domain, leveraging Azure Cloud services for efficient data processing, model development, and scalability.
• Utilized Azure Machine Learning, Azure Data Factory, and Azure Databricks for seamless data preProcessing, feature engineering, and model training.
• Implemented various machine learning algorithm, such as logistic regression, decision trees, and ensemble methods, within the Azure Machine Learning to build an accurate and scalable predictive model.
• Deployed the credit risk model as a web service using Azure Kubernetes Service (AKS), enabling real-time credit risk scoring and enhancing decision-making capabilities for loan applications.
• Conducted rigorous model evaluation and performance testing, utilizing metrics such as accuracy,precision, recall, and F1-score, to ensure the reliability and effectiveness of the developed credit risk model.

Bengaluru, Karnataka, India

• Working Experience & Extensive knowledge in PySpark and Python with libraries Such as Scikit-Learn, TensorFlow, NumPy, Pandas, Matplotlib, Seaborn.
• Worked with various AWS services including EC2, EMR, S3, ECS,ECR and Terraform.End-to-End data science projects for real-world business use cases.