AI Engineer with less than a year in Data Science & Machine Learning
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
Sathya technologies
Data Science certification program
December 1, 2025 – June 30, 2026
India
Python Data Analysis Project (EDA)
January 1, 2026 – February 28, 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 30, 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.
Cultural Fit Analysis
The candidate's projects and internship show a focus on data science and machine learning, which aligns with an AI Engineer role. However, the breadth of experience is limited to academic projects and a single internship. The resume indicates a strong interest in the field, but lacks diversity in project types or team collaboration experiences that would strongly indicate cultural fit in a dynamic, senior-level environment.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit beyond what can be inferred from project descriptions and work experience. The candidate's professional summary indicates an aspiration to solve real-world problems and contribute to data-driven decision making.