lmno3418
lmno3418
Hello! I’m Ashish Mali, a Databricks Engineer with a strong passion for Data Science and problem solving.
My personal motto is DSA² = Data Science & Data Structures + Algorithms, which reflects my belief in mastering
both analytical thinking and solid technical foundations.
I have a strong working foundation in Python and SQL, and I adapt quickly to new technologies especially AI tools to improve productivity and solve complex problems effectively.
I am a driven, curious, and optimistic learner who believes in using knowledge for meaningful impact. I see data as a powerful force that will increasingly shape the world, and I am committed to mastering its fundamentals while building strong practical experience over time.
Currently, I am pursuing my Master’s (MCA, 2027) at Savitribai Phule Pune University. I understand that success is not about luck alone, but about effort, consistency, and discipline. While I know there is always more to learn, I prioritize action over hesitation, progress over perfection, and steady growth over quick wins.
My motivation is both personal and purposeful to grow, contribute value, and live up to the opportunities and support I’ve received. I strive to be productive, focused, and resilient in the face of challenges, always aiming to use my skills for the greater good.
An End-to-End Loan Default Analysis and Prediction System — a complete ML-based web application that performs data preprocessing, model training, prediction, and visualization through an interactive interface.
Key Features:
Technology Stack:
Flask, MongoDB, scikit-learn (RandomForestClassifier), Plotly, Dash
A comprehensive Pokedex application for battle prediction using ML random forest model with user authentication and detailed Pokemon information.
Key Features:
Technology Stack:
The application is built using modern web technologies to provide a seamless user experience: Python, Flask, Bootstrap, Custom CSS, JavaScript, Supabase, RESTful API
Explore the advantages of using Hugging Face Spaces for deploying machine learning models. This article covers the ease of deployment, cost-effectiveness, built-in collaboration features, and why it's become my preferred platform for sharing and deploying large-scale ML applications.
Read on MediumJoin me on a journey through the development of my Pokémon Battle Prediction ML application. From initial concept to deployment, this article covers the challenges, solutions, and lessons learned in building a full-stack machine learning application with Flask and Supabase.
Read on MediumA deep dive into the world of tree-based machine learning models. This article explores why decision trees, random forests, and gradient boosting machines are powerful tools in data science, explaining complex concepts in an accessible way for both beginners and experienced practitioners.
Read on MediumEver found yourself with a burning desire to deploy a project but without access to your laptop? This blog shares my adventure of setting up and deploying a server-side application using just my smartphone. A tale of persistence, problem-solving, and pushing technological boundaries.
Read on MediumFollowing an ACL surgery, I leveraged AI tools to create a personalized rehabilitation program. This article explores how I combined technology with traditional physiotherapy to recover faster and more effectively, sharing insights that might help others in similar situations.
Read on MediumDiscover the importance of following PEP8 coding standards in Python development. This article explores how proper code formatting, naming conventions, and style guidelines can improve code readability, maintainability, and collaboration among developers.
Read on MediumHave a project in mind or just want to say hello? I'd love to hear from you!