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AI Engineer with 2+ years in Python, SQL & 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
AI & Data Science graduate with strong skills in Python, SQL, Pandas, Tableau, and Power BI. Experienced in data analysis, data cleaning, ETL workflows, and machine learning through hands-on projects. Passionate about transforming raw data into actionable insights and helping organizations make data-driven decisions. Eager to apply analytical and problem-solving skills in a Data Analyst role while continuously learning and growing in the field.
Siddharth Institute of Engineering and Technology
Bachelor's · Artificial Intelligence and Data Science
N/A – June 30, 2026
Assistive Infotech Limited
Python Django Intern
January 1, 2024 – Present
India
Customer Churn Prediction
June 18, 2026 – Present
Built an end-to-end data pipeline to process ~20,000 telecom customer records — including data ingestion, cleaning, validation, and transformation. Applied SMOTE for class balancing, one-hot encoding, and feature scaling to ensure high data quality and consistency. Trained a deep learning model with dropout regularization, achieving 87% test accuracy; insights directly supported business retention strategy. Documented all data logic, preprocessing assumptions, and model evaluation metrics for team reusability.
Movie Recommendation System
June 18, 2026 – Present
Designed and deployed a data pipeline on the MovieLens dataset (~100k ratings) using collaborative filtering and content-based techniques. Implemented cosine similarity for content filtering and evaluated with RMSE metrics; achieved 82% accuracy in predicting user preferences. Deployed as a Flask web app on AWS; built automated data preprocessing pipelines for scalable inference.
Fake News Detection
June 18, 2026 – Present
Built an NLP data pipeline to classify news articles using TF-IDF feature extraction and logistic regression. Experimented with Naive Bayes, Random Forest, and SVM models to improve classification accuracy through iterative EDA and feature tuning. Packaged into an interactive Streamlit web app for real-time predictions with clear documentation of model logic.
Python
GeeksforGeeks
June 1, 2026 – Present
Django
GeeksforGeeks
June 1, 2026 – Present
SQL
GeeksforGeeks
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest and foundational skill set in AI and Data Science, aligning well with an AI Engineer role. The diversity of projects (churn prediction, recommendation, NLP) indicates a broad curiosity and willingness to explore different domains within AI. The internship, while focused on web development, shows practical application of Python and database skills. The candidate is still pursuing a Bachelor's degree, suggesting a learning-oriented mindset. However, the lack of professional experience beyond a short internship means cultural fit in a fast-paced, senior engineering environment is largely unproven.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured problems, document processes, and iterate on solutions (e.g., experimenting with multiple models). The internship shows basic teamwork and project delivery within a defined scope. However, there is insufficient data to assess advanced soft skills like leadership, complex problem-solving under pressure, or cross-functional collaboration.