Aditya Shete

Data Science Engineer

https://www.opentalent.in/aditya-shete

AI Engineer with 1+ years in Deep Learning & Data Pipelining

Key Strengths

Strong foundation in deep learning models (VGG16, LeNet-5, MobileNetV2) and their optimization.
Demonstrated ability in data preprocessing, augmentation, pruning, and quantization techniques for model efficiency.
Experience with real-time inference and mobile deployment of AI models (TensorFlow Lite, Android application).
Proficiency in Python and relevant data science libraries (TensorFlow, Keras, scikit-learn, Pandas, NumPy).
Experience in developing complete data pipelines, including data collection, preprocessing, transformation, and validation.
Published research paper (IEEE Conference) indicates strong research and development capabilities.
Familiarity with Data Warehousing, Data Quality, and ETL concepts, which are crucial for Data Science Engineers.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's academic projects show a strong focus on AI/ML applications, particularly in image processing and accessibility, which aligns well with innovative and impact-driven environments. The involvement in a team project (Braille to Text and Speech Conversion) indicates a collaborative mindset. The breadth of technical skills, including various programming languages, database concepts, and cloud platforms, suggests adaptability. However, the projects are all academic, and there is no professional experience, which limits the assessment of cultural fit in a corporate setting. The target role of 'Data Science Engineer' aligns well with the candidate's project experience and technical skills.

Soft Skills & Operational Fit

The candidate demonstrates strong analytical problem-solving skills and a collaborative mindset through their project work. The extracurricular activity as a Treasurer suggests organizational and responsibility skills. However, the psychometric test score is 0, which is insufficient to assess logical reasoning, work attitude, stress handling, and team collaboration effectively. More data is needed for a comprehensive evaluation of soft skills and operational fit.

AI is analyzing your overall score…

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

About

Computer Engineering graduate (2026) with a strong foundation in SQL, RDBMS, Python, Data Structures, and Algorithms. Experienced in Requirement Analysis, Data Pipeline Development, and building AI-powered Technology Solutions, including an IEEE-published research project that processed 1,500+ image records through a complete data preprocessing, transformation, and deep learning pipeline. Familiar with Data Warehousing, Data Quality, and ETL concepts, with a collaborative mindset and strong Analytical Problem-Solving skills to deliver scalable, data-driven business solutions.

Top Skills

PythonProblem SolvingData VisualizationData Warehousing

Projects

Braille to Text and Speech Conversion

August 1, 2025 – May 1, 2026

Designed and developed an AI-powered Braille-to-Text and Speech conversion system, processing 1,500+ Braille images to improve accessibility for visually impaired users. Trained and optimized deep learning models (VGG16, LeNet-5, MobileNetV2), achieving 91% test accuracy across a dataset of 1,500+ Braille images. Applied data preprocessing, augmentation, pruning, and quantization techniques, reducing model size by 75% (5.6 MB to 1.4 MB) for efficient mobile deployment. Integrated TensorFlow Lite, Text-to-Speech (TTS), and voice command functionality into an Android application, enabling fully offline real-time inference and speech conversion. Achieved 96.4% character recognition accuracy and a 0.97 macro AUC score across 300 test images, demonstrating strong model generalization and classification reliability. Research paper accepted for publication - IEEE Conference. Team of 5 members.

Spam Image Detection using Deep Learning

August 1, 2025 – November 1, 2025

Collected and curated a dataset of 2,000+ spam and legitimate images using web crawling and automated data acquisition techniques for model training and evaluation. Designed and implemented a complete data preprocessing, transformation, augmentation, and validation pipeline, ensuring high-quality and standardized image data. Trained and optimized a MobileNetV2 transfer learning model, achieving 98.07% classification accuracy and 0.987 AUC on unseen test datasets.

Certifications

TATA Cybersecurity Analyst Job Simulation

Forage

June 18, 2026 – Present

Introduction to Cloud Infrastructure: Describe cloud concepts

Azure

June 18, 2026 – Present

Introduction to Cyber-Security

CISCO

June 18, 2026 – Present

Manage Identities in Microsoft Entra ID

Microsoft

June 18, 2026 – Present

Data Structures and Algorithms in Java

Infosys Springboard

June 18, 2026 – Present

Key Strengths

Strong foundation in deep learning models (VGG16, LeNet-5, MobileNetV2) and their optimization.
Demonstrated ability in data preprocessing, augmentation, pruning, and quantization techniques for model efficiency.
Experience with real-time inference and mobile deployment of AI models (TensorFlow Lite, Android application).
Proficiency in Python and relevant data science libraries (TensorFlow, Keras, scikit-learn, Pandas, NumPy).
Experience in developing complete data pipelines, including data collection, preprocessing, transformation, and validation.
Published research paper (IEEE Conference) indicates strong research and development capabilities.
Familiarity with Data Warehousing, Data Quality, and ETL concepts, which are crucial for Data Science Engineers.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Aditya Shete

Key Strengths

Cultural & Operational Fit

About

Top Skills

Skills

Education

Projects

Certifications

Key Strengths

Cultural & Operational Fit