Skills

Data Science & Engineering
Data Preprocessing (Pandas, NumPy), SQL Databases, Feature Engineering
Data Science & Engineering
Machine Learning & AI
Supervised & Unsupervised Learning algorithms, Explainability (SHAP, LIME), Fairness/Bias, Adversarial Robustness, AI Risk Assessment & Compliance
Machine Learning & AI
ML and DL Frameworks
TensorFlow, Keras, PyTorch, scikit-learn
ML and DL Frameworks
MLOps Tools
MLflow, AWS SageMaker, CI/CD Pipelines for ML (Docker, GitHub Actions)
MLOps Tools
Programming languages
Python, Java, MATLAB
Programming languages
Software Development & Tools
Bash, Rest APIs, Celery, Git, Agile Methodologies
Software Development & Tools
Statistical Analysis
A/B testing, hypothesis testing, regression analysis
Statistical Analysis
Visualisations & Dash-boarding
Plotly, Dash, Streamlit, seaborn, matplotlib
Visualisations & Dash-boarding