AI Engineer with less than a year in Machine Learning and Web Development
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Assessing your cultural and operational fit
Highly motivated and results-oriented individual with a strong foundation in machine learning, web development, and data analysis. Experienced in building and evaluating predictive models using Python libraries like Scikit-learn, Pandas, and NumPy. Proven ability to collect, clean, and process diverse datasets to ensure data quality. Skilled in developing responsive web applications and integrating APIs for dynamic content. Eager to apply technical skills to solve real-world problems and contribute to innovative projects.
Babu Banarasi Das Northern India Institute of Technology
Bachelor of Technology · Computer Science & Engineering
July 1, 2021 – June 1, 2025
Oxford Public School
12th Standard · PCM
June 1, 2020 – May 31, 2020
Oxford Public School
10th Standard · Science
June 1, 2018 – May 31, 2018
ShapeMySkills
Trainee
July 1, 2024 – August 1, 2024
India
News Website
May 1, 2025 – May 1, 2025
A responsive news website with categorized articles (politics, sports, entertainment, tech) and real-time news updates. My role was to develop the front end, design responsive UI, add interactivity, and integrate News API for dynamic content.
View ProjectCar Price Prediction
October 1, 2024 – December 1, 2024
This project focuses on predicting the selling price of a car based on its features such as brand, model, year of manufacture, fuel type, transmission, mileage, engine size, and number of previous owners. Using supervised machine learning algorithms, a regression model is trained to estimate car prices accurately. The goal is to help buyers and sellers make informed pricing decisions in the used car market. My role was to build a machine learning model to predict car prices based on various features like brand, year, mileage, fuel type, and more.
View ProjectWine Quality Prediction
October 1, 2024 – February 1, 2025
The Wine Quality Prediction project aims to build a machine learning model that can predict the quality of wine based on its physicochemical properties such as acidity, pH level, alcohol content, sugar, and more. Using a dataset (commonly the UCI Wine Quality dataset), the model is trained with supervised learning techniques like Linear Regression, Decision Trees, or Random Forest. After training, it can predict a wine's quality score (typically between 0 to 10) based on its input features. My role was to develop a machine learning model to predict wine quality based on various chemical properties. I performed data cleaning, exploratory data analysis, and feature selection.
View ProjectFull Stack Web Development - MERN Stack
Apna College
December 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in applying machine learning to real-world problems, which aligns with an AI Engineer role. The MERN stack certification and web development project show a breadth of interest beyond pure machine learning, which could be beneficial for full-stack AI application development. However, the experience level is entry-level, and the projects are academic, suggesting a need for significant growth and mentorship to fit a senior AI Engineer role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on defined tasks within a project scope. The academic nature of projects and limited professional experience suggest a need for structured guidance and mentorship in a professional setting. There is no direct data to assess stress handling or team collaboration, but the project diversity suggests a willingness to learn and apply different technologies.