Description

🇬🇧 English

Hello! I’m Chandrasekar, a Data Scientist & AI Engineer (PhD) based in Marseille. I specialise in Python, Machine Learning, Deep Learning, Computer Vision and Data Analysis, with 4+ years of experience building AI/ML models for scientific, industrial and research datasets.

During my PhD in Biophysics, I developed robust, interpretable and reproducible AI pipelines for microscopy images, spectroscopy signals, and structured/tabular data. My approach combines scientific rigor with practical engineering to deliver high-quality, documented and ready-to-use solutions for real-world problems.

How I can help you:

• Python development (Pandas, NumPy, Scikit-Learn)

• ML models (classification, regression, feature analysis)

• Deep Learning (CNNs, U-Net, PyTorch, TensorFlow)

• Computer Vision & image processing

• Statistical analysis (PCA, ANOVA, clustering, validation)

• Data cleaning, transformation & visualisation

• Scientific/technical reporting, Jupyter notebooks & reproducible workflows

• Support for R&D, scientific projects, startups & student assignments

What you can expect:

• Fast, remote-friendly collaboration

• Clear communication (English)

• Precise and reliable deliverables

• Well-structured, clean code adapted to your needs

• Flexibility for both small tasks and full project development

🇫🇷 Français (court)

Bonjour ! Je suis Chandrasekar, Data Scientist & Ingénieur IA (PhD) basé à Marseille. Spécialisé en Python, Machine Learning, Deep Learning, Computer Vision, j’accompagne entreprises, laboratoires et étudiants dans l’analyse de données, le développement de modèles ML/DL, la vision par ordinateur et les analyses statistiques.

Je travaille principalement en télétravail, avec une communication simple, professionnelle et efficace.

N’hésitez pas à me contacter pour discuter de votre projet !

Industry field of expertise

Languages

English
Native or bilingual
French
Conversational
Tamil
Native or bilingual
Telugu
Fluent
Hindi
Fluent

Workplace preferences

Can work on-site

Marseille (up to 50km)

Aix-Marseille University
PhD Researcher – Biophysics & AI
BIOTECH
December 2021 - September 2025 (3 years and 9 months)
Marseille, France
• Developed deep learning models (U-Net variants, domain adaptation) for density map pre diction and automated counting of bacteriophages in fluorescence microscopy datasets.
• Designed reproducible AI pipelines on HPC clusters, integrating data preprocessing, model training, and statistical validation using Poisson and Langmuir models.
• Collaborated with interdisciplinary teams and mentored Master's students in AI and imaging projects, contributing to publications and knowledge transfer.
Deep Learning Machine learning Python Computer Vision Analyse de données
Phoenix Medical Systems
R&D Intern – Intelligent Systems Development
MEDICAL
September 2021 - November 2021 (2 months)
Chennai, Tamil Nadu, India
• Built cross-platform Qt GUIs for neonatal devices (ventilators, incubators) with seamless deployment across embedded and desktop systems.
• Engineered real-time hardware–software interfaces to synchronize communication between control systems and medical displays.
• Collaborated with R&D and QA teams to ensure system reliability and compliance with medical-grade safety protocols.
ETL (Extract, Transform, Load) Processes Python User Experience Design QML Data science
Grey Scientific Labs (Osure Care)
R&D Intern – Computer Vision & Medical Imaging
RESEARCH
July 2020 - December 2020 (5 months)
Bengaluru, Karnataka, India
• Developed Python-based image analysis pipelines using OpenCV for immunostained H&E pathology slides to detect follicles in lymphoma tissue.
• Implemented modular and scalable workflows, supporting iterative model refinement and integration with Git-based version control.
Python Computer Vision / Image Processing Git Data visualisation microscopie