AI Engineer with 1+ years in Machine Learning & Data Analysis
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring AI/ML engineer with a strong foundation in Python, machine learning, and data analysis. Seeking an entry-level role to build intelligent systems and data-driven solutions. Passionate about deep learning, predictive modeling, and solving real-world problems using AI. Eager to apply analytical and problem-solving skills in a dynamic and growth-oriented environment.
KL University
Bachelor of Technology · Computer Science and Information Technology
August 1, 2021 – June 30, 2025
NRI Junior College
Intermediate
June 1, 2019 – May 31, 2021
Jai Bharat High School
Secondary School
June 1, 2018 – May 31, 2019
Customer Churn Prediction Using Machine Learning
May 1, 2025 – June 1, 2026
Built a supervised machine learning model using Logistic Regression and Random Forest to predict customer churn with 85% accuracy. Performed data preprocessing, feature engineering, and EDA to identify key churn-driving factors such as contract type, tenure, monthly charges, and customer service calls. Evaluated model performance using Confusion Matrix, Precision, Recall, F1-Score, and ROC-AUC, and optimized hyperparameters using GridSearchCV.
View ProjectAutomobile System (Selling Spare Parts)
May 1, 2025 – June 1, 2026
Designed and developed a Django-based web application for purchasing automobile spare parts. Implemented backend logic using Django framework for product management and order processing. Built user-friendly interfaces using HTML and CSS for smooth navigation and usability. Integrated MySQL database to manage product inventory and customer transactions. Ensured modular structure and maintainable code practices throughout development.
Salesforce Certified AI Associate
Salesforce
June 1, 2026 – Present
Automation Anywhere Certified Essentials RPA Professional (Automation 360)
Automation Anywhere
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects show a focus on both machine learning and web development, indicating a breadth of interest. The certifications in RPA and Salesforce AI suggest a proactive approach to learning new technologies. However, as an entry-level candidate with only academic projects, the diversity of experience is limited. The target role of AI Engineer aligns with the candidate's stated career objective and primary project.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured problems and follow development processes. The academic nature of projects suggests a learning-oriented individual. However, without direct work experience or psychometric test results, it's difficult to assess stress handling, team collaboration, or advanced problem-solving in a professional operational context.