Aditya Patil
Development
Maharashtra, India
Skills
Data Science
About
Aditya Patil's skills align with IT R&D Professionals (Information and Communication Technology). Aditya also has skills associated with Programmers (Information and Communication Technology). Aditya Patil appears to be an entry-level candidate, with 8 months of experience.
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Work Experience
Data Science Intern
Seven Mentor Pvt. Ltd
August 2023 - Present
- Developed an interactive Learning Management System (LMS) dashboard utilizing Python for backend data processing, MongoDB for database management, and Node.js with HTML/CSS for frontend interface, enhancing user experience and facilitating data-driven decision-making in a data science internship role. • Designed and implemented a secure certification generation system during a data science internship, integrating authentication features using Google Sheets App Script, ensuring reliable credential issuance and validation for program participants. Projects Student Interactive Dashboard | Python, Mongodb, Html, Css, Node.js, Flask, Pymongo, Basic AWS, AWS beanstalk | • Implemented a comprehensive LMS dashboard employing Python, MongoDB, Node.js, and HTML/CSS technologies during a data science internship, enabling efficient data handling, visualization, and user-friendly navigation for enhanced educational content delivery and management. • Proficient in Google Sheets and Apps Script integration for certificate generation using Autocrat and data fetching. Skilled in automating the transfer of specific information from Google Sheets to PowerPoint, enabling direct certificate distribution via email to students based on Google Form entries. Implemented QR code integration on certificates linking to a personalized webpage, showcasing student information in alignment with certificate details Customer Churn Prediction | Machine Learning, Deep Learning, Python, Data Analysis, .Matplotlib, Seaborn | • A Machine Learning Model which can be predict the churning rate in a Bank. Estimated that 10 percent of the customers who will churn may belong to the age group 30-45 • Implemented data analysis and visualization with Matplotlib and Seaborn.Led the end-to-end development of a sophisticated Machine Learning solution in Python. Image Classifier | AI, CNN, Max pooling, Convolutional, Data Augmentation | • Developed a gender prediction AI model using CNNs with max-pooling and convolutional layers, leveraging TensorFlow, OpenCV, and data augmentation. • Integrated the model into user-facing applications, demonstrating expertise in machine learning, image processing, and convolutional neural networks.
Education
