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AI Engineer with less than a year in Python, SQL, Data Engineering & ML
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Proactive and detail-oriented Computer Engineering student with hands-on experience in Python, SQL, data engineering, and AI/ML model development. Proven ability to build end-to-end data pipelines, integrate large datasets with relational databases, and deploy analytics dashboards through internship and project work. Eager to contribute to real-world data and AI use cases, with a strong foundation in cloud platforms and a keen interest in LLM-driven automation and modern data tools like Snowflake, DBT, and Airflow.
MIT Academy of Engineering, Alandi (MITAOE)
B.Tech. · Computer Engineering
August 1, 2022 – June 30, 2026
Anand Automotive Pvt. Ltd.
AIML Engineer Intern
June 1, 2025 – August 1, 2025
Pune, Maharashtra, India
Parking Slot Detection Using YOLOv11 and Grad-CAM
June 1, 2026 – Present
Built a YOLOv11-based deep learning model on the PKLot dataset achieving 92% mAP in classifying occupied and vacant parking slots; applied annotation, preprocessing, and augmentation boosting performance by 8% mAP. Integrated Grad-CAM visualizations for improved model interpretability and deployed a Streamlit application enabling real-time detection at ~25 FPS for smart parking scenarios.
View ProjectStudent Performance Prediction System
June 1, 2026 – Present
Built a structured data pipeline integrating preprocessing, feature engineering, and automated model building to analyze 6,000+ student records across 15+ features. Designed SQL queries for data validation and cleaning; compared 9 regression models with parameter tuning, selecting Ridge Regression as optimal (R2 = 0.883, RMSE = 1.08). Identified six key predictors (Attendance, Study Hours, Parental Involvement, etc.) and built interactive Power BI dashboards that supported curriculum changes improving outcomes by 7%.
View ProjectRetail Sales Analysis
June 1, 2026 – Present
Processed and analyzed 1,000+ retail transactions using Python-based data pipelines to extract customer behavior, demographic spending patterns, and seasonal revenue trends. Applied time-series analysis to identify peak sales windows, evaluated top product categories contributing to 35% of overall revenue, and delivered recommendations improving promotional planning by 15%. Built interactive, data-driven dashboards (Power BI + Streamlit) to monitor sales, customer segments, and product KPIs, with full requirement documentation for business reporting.
NPTEL - Introduction to Cloud Computing
NPTEL
June 1, 2026 – Present
Generative AI with Large Language Models
Unknown
June 1, 2026 – Present
Programming Essentials in Python
Unknown
June 1, 2026 – Present
AWS Academy Cloud Foundations
AWS Academy
June 1, 2026 – Present
NPTEL - Introduction to Machine Learning
NPTEL
June 1, 2026 – Present
Building Interactive Dashboards with Microsoft Power BI
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from student performance prediction to retail sales analysis and parking slot detection, indicates a broad interest in applying AI/ML across different domains. Their participation in hackathons and coding events suggests a proactive learning attitude and engagement with the tech community. The internship experience aligns well with an AI Engineer role, demonstrating practical application of skills. However, as a student with limited professional experience, the breadth of exposure to diverse team dynamics and corporate culture is naturally constrained.
Soft Skills & Operational Fit
The candidate demonstrates a proactive and detail-oriented approach, as evidenced by their project descriptions and the structured nature of their work. Their collaboration experience during the internship suggests an ability to work effectively in a team. The focus on delivering analytics solutions that reduce downtime and optimize performance indicates a results-oriented mindset. However, without direct assessment data on communication, logical reasoning, or stress handling, a comprehensive evaluation of soft skills and operational fit is limited.