MALAVIKA GUDALA

Senior Python Developer with 4 years of experience designing and developing scalable web applications and microservices using Python and Flask. Strong expertise in RESTful API architecture, agile development, and cloud integration. Proven ability to lead cross-functional teams, mentor junior developers, and ensure code quality through rigorous reviews. Passionate about building robust backend systems that drive business efficiency.

• Python for Data Structure, University of Michigan
• Programming Essentials for Python, Cisco
• Introduction to AI, IBM

Parkinson’s Disease Detection, Developed a predictive model for early Parkinson’s detection using Logistic Regression, Decision Tree, Random Forest, and XGBoost, achieving 94% accuracy. Processed and analyzed structured health datasets to extract key features. Coupon Purchase Prediction, Developed a predictive model using Pandas and ML to analyze customer behavior, influencing coupon distribution strategy. Integrated campaign and demographic data to create a 360-degree customer profile used for business segmentation. AI-Powered Home Furniture Recommendation System, Built a multimodal recommendation system using deep learning models with cross-layer attention to personalize suggestions.

Online Examination System Using NLP, International Journal - Science, Technology and Development, Developed a cloud-based Online Examination System using Python, Natural Language Processing (NLP), and NLTK for automated question generation and real-time answer evaluation, reducing manual grading efforts. Utilized Django for backend processing and SQLite for data storage, enabling efficient management of question-and-answer databases with scalable data handling. Integrated HTML5, CSS, and JavaScript for a user-friendly interface, allowing seamless interactions for both students and administrators during exam conduction and result viewing.