Highly skilled and detail-oriented Python developer with 2 years of experience in designing, developing, debugging and deploying applications. Proficient in multiple programming languages, software development methodologies and database management systems. Adept at collaborating with cross-functional teams to deliver innovative solutions that meet project requirements and exceed client expectations. Strong problem-solving abilities and a passion for staying updated with the latest technologies and best practices in the industry.🛠️ Skills & Technologies: Proficient in Python, Flask, Pandas, NumPy, Scikit-learn, SQLAlchemy, AWS S3, MySQL, FastAPI, C#, .NET Core, Entity Framework Core and more.Projects:Customer Churn Prediction (Data Engineering): Utilized Python, Flask, SQLAlchemy, MySQL, Scikit-learn, and AWS S3 to engineer data, develop machine learning classification models, and evaluate model performance for predicting customer churn.Data Science Platform in FinTech: Leveraged Python, Pandas, Flask, MySQL, and AWS S3 to analyze large volumes of customer transaction data, identify patterns, trends, and anomalies, and implemented efficient data storage strategies.Resume Processing Application: Developed a Python-based system utilizing PDF extraction libraries and machine learning tools like Spacy and NLTK to extract and match candidate data for HR recruiters, enhancing efficiency in candidate selection.School Management System Portal: Architected and developed backend services and APIs using Python Flask and C# to manage user roles, data, and business logic. Led integration efforts and provided technical guidance to ensure the system's efficiency and scalability.Image Processing and Object Detection: Led the design and implementation of an image processing and object detection system using Python (FastAPI), YOLOv5, AWS SQS, Redis, and MySQL. Customized and fine-tuned the YOLOv5 model for real-time inference, enhancing detection accuracy and speed.