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Hi there! I’m Siddharth Kakadiya, a Data Science master's student in Germany with hands-on experience in ML, DL, computer vision, NLP, and LLM-based systems. I’m passionate about turning data into actionable insights and building AI-powered solutions that solve real-world problems. I’m currently pursuing an MSc in Data Science at the University of Europe for Applied Sciences and eager to apply my skills in industry settings. I’ve worked as an ML developer intern, a Django trainee, and through self-initiated projects tackling healthcare Q&A, vehicle damage detection, fake reviews, and image captioning. I thrive in collaborative environments, love problem solving, and enjoy bridging the gap between research and product-ready systems.…Hi there! I’m Siddharth Kakadiya, a Data Science master's student in Germany with hands-on experience in ML, DL, computer vision, NLP, and LLM-based systems. I’m passionate about turning data into actionable insights and building AI-powered solutions that solve real-world problems. I’m currently pursuing an MSc in Data Science at the University of Europe for Applied Sciences and eager to apply my skills in industry settings. I’ve worked as an ML developer intern, a Django trainee, and through self-initiated projects tackling healthcare Q&A, vehicle damage detection, fake reviews, and image captioning. I thrive in collaborative environments, love problem solving, and enjoy bridging the gap between research and product-ready systems.

Siddharth Ashokbhai Kakadiya

Data Scientist, AI Engineer, Developer, +2

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Hi there! I’m Siddharth Kakadiya, a Data Science master's student in Germany with hands-on experience in ML, DL, computer vision, NLP, and LLM-based systems. I’m passionate about turning data into actionable insights and building AI-powered solutions that solve real-world problems. I’m currently pursuing an MSc in Data Science at the University of Europe for Applied Sciences and eager to apply my skills in industry settings. I’ve worked as an ML developer intern, a Django trainee, and through self-initiated projects tackling healthcare Q&A, vehicle damage detection, fake reviews, and image captioning. I thrive in collaborative environments, love problem solving, and enjoy bridging the gap between research and product-ready systems.…Hi there! I’m Siddharth Kakadiya, a Data Science master's student in Germany with hands-on experience in ML, DL, computer vision, NLP, and LLM-based systems. I’m passionate about turning data into actionable insights and building AI-powered solutions that solve real-world problems. I’m currently pursuing an MSc in Data Science at the University of Europe for Applied Sciences and eager to apply my skills in industry settings. I’ve worked as an ML developer intern, a Django trainee, and through self-initiated projects tackling healthcare Q&A, vehicle damage detection, fake reviews, and image captioning. I thrive in collaborative environments, love problem solving, and enjoy bridging the gap between research and product-ready systems.

Available to hire

Hi there! I’m Siddharth Kakadiya, a Data Science master’s student in Germany with hands-on experience in ML, DL, computer vision, NLP, and LLM-based systems. I’m passionate about turning data into actionable insights and building AI-powered solutions that solve real-world problems. I’m currently pursuing an MSc in Data Science at the University of Europe for Applied Sciences and eager to apply my skills in industry settings.

I’ve worked as an ML developer intern, a Django trainee, and through self-initiated projects tackling healthcare Q&A, vehicle damage detection, fake reviews, and image captioning. I thrive in collaborative environments, love problem solving, and enjoy bridging the gap between research and product-ready systems.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

German

Beginner

English

Advanced

Gujarati

Fluent

Hindi

Fluent

Work Experience

RDE1, IT Supply Chain at RDE1

June 15, 2025 - November 30, 2025

Managed IT hardware logistics and inventory tracking within the supply chain department. Provisioned, configured, and deployed laptops, TC devices, and IT equipment for employees. Performed device setup, testing, and technical troubleshooting in compliance with company standards. Tracked IT inventory data using spreadsheets and internal tools for reporting.

Machine Learning Developer (Intern) at Bitcoding Solutions

January 1, 2024 - September 1, 2024

Built and optimized machine learning and deep learning models. Performed data preprocessing, exploratory data analysis, feature engineering, model evaluation, and hyperparameter tuning. Developed computer vision solutions for image classification and object detection using TensorFlow, Keras, and OpenCV. Deployed trained models.

Django Trainee at Brainybeam Info-Tech Pvt. Ltd

July 1, 2023 - August 1, 2023

Learned Django project structure and developed a functional bus seat reservation system. Implemented seat selection, booking confirmation, and availability tracking features.

Healthcare Q&A using LLM fine tuning at Personal Project

October 1, 2025 - December 1, 2025

Developed a Healthcare Question Answering system using a fine-tuned LLAMA3.1 with 90+ Accuracy. Optimized inference reducing response time by 50%. Implemented semantic evaluation using SBERT cosine similarity to measure answer quality for open-ended generative outputs.

Vision Based Damage Detection For Vehicles at Personal Project

October 1, 2025 - December 1, 2025

Developed vehicle damage detection and segmentation models using YOLOv8, Mask R-CNN, and Faster R-CNN. Applied transfer learning, data augmentation, and class imbalance handling to improve model accuracy. Evaluated model performance using mAP, IoU, F1-score, and precision–recall curves. Optimized models for deployment using ONNX and TensorRT.

Fake Product Review Detection Using Dual LSTM at Personal Project

June 1, 2025 - July 1, 2025

Built an end-to-end text classification pipeline for fake review detection using NLP and binary classification. Implemented and compared Logistic Regression, Random Forest, CNN, and Dual BiLSTM/LSTM models. Improved model accuracy by 11% through hyperparameter tuning and advanced architectures.

Image Captioning at Personal Project

January 1, 2024 - June 1, 2024

Developed an image captioning system using CNN for feature extraction and LSTM for sequence modeling. Integrated computer vision and NLP techniques for automated image-to-text generation. Optimized model training and evaluated performance using TensorFlow and Keras.