Parth Jamdade Email & Phone Number

👋 Hi, I'm Parth Jamdade! Currently pursuing my B.E in Computer Engineering at AISSMS Institute of Information Technology, I'm passionate about building innovative web applications and diving deep into machine learning.🏢 At Code Clause, where I interned as a Web Developer, I developed dynamic and responsive websites using HTML, CSS, and Bootstrap. Projects like the unit conversion app and image sliders taught me the nuances of creating seamless, user-friendly digital experiences.💊 One of my significant accomplishments is MediTime, a medicine schedule app. I designed it using Adobe XD and Figma with a focus on ease of use, ensuring that even non-tech individuals can manage their medication routines efficiently.📊 Machine learning excites me. I worked on a stock market prediction project using Python, where we analyzed and predicted stock trends with a linear regression model. This project enhanced my skills in data pre-processing and model evaluation.🛠️ My technical portfolio includes languages such as C/C++, Java, Python, and SQL, and web technologies like HTML, CSS, and JavaScript. I’m proficient in developer tools like Visual Studio Code, Github, and design platforms like Adobe XD and Figma.🔬 In another team project, we tackled multiple disease detection using machine learning. My focus on liver disease led to an accuracy of 92.17% through extensive data analysis and model training.🎓 My educational foundation was laid at Rosary High School and Fergusson College, and I've strengthened it with certifications in AWS Machine Learning and advanced software engineering programs.🤝 I’m always open to connecting with like-minded individuals. Whether you want to chat about tech or explore project collaborations, feel free to connect or check out my work on GitHub.

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  Data Scientist Intern

  Algoanalytics

  Jul 2024 - Present - Pune, Maharashtra, India

  • Gained hands-on experience with deep learning, focusing on Siamese networks for forgery detection.• Experimented with various datasets and model architectures to enhance detection accuracy.• Collaborating with the team to improve the model through hard mining and contrastive loss techniques.

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  Student At All India Shri Shivaji Memorial Society College Of Engineering, Pune