
AI Engineer with less than a year in Data Science, Machine Learning & NLP
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Scientist with strong foundations in Python, statistics, and machine learning, seeking an opportunity to apply data analysis and predictive modeling skills to solve real-world problems and contribute to data-driven decision making.
Ambedkar Degree College, manthani
Degree
N/A – June 30, 2023
Python Data Analysis Project (EDA)
January 1, 2026 – February 1, 2026
Gained hands-on experience in data cleaning, processing, and exploratory data analysis using Python with libraries such as NumPy, Pandas, Matplotlib, and Seaborn
Online Shoppers Intention Prediction using ML
December 1, 2025 – June 1, 2026
Developed an end-to-end machine learning pipeline to predict online customer purchase intent using preprocessing, SMOTE for class imbalance handling, chi-square based feature selection, and model benchmarking across 7+ classifiers with 10-fold cross-validation and ROC-AUC evaluation using Scikit-learn, Pandas, Numpy, and Imbalanced-learn.
Data Science certification program
Sathya technologies
December 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects are primarily academic, focusing on machine learning and data analysis. The 'Data Science certification program' indicates a commitment to structured learning and practical application. The target role of 'AI Engineer' aligns well with the demonstrated technical skills in ML, DL, and NLP. However, the lack of diverse project types or professional experience makes a comprehensive cultural fit assessment challenging.
Soft Skills & Operational Fit
The resume highlights an aspiring data scientist with a focus on applying skills to solve real-world problems. The project descriptions indicate an ability to work through structured data science tasks. However, without completed psychometric or English tests, it is difficult to assess logical reasoning, work attitude, stress handling, team collaboration, or communication clarity and professionalism.