Having experience in Data Analysis and Machine Learning
Analysed large and complex datasets to uncover trends, pattens & insights. Interpret data findings and translate them into actionable insights
Analysis of product-based problems, RCA using Data, Statistics & ML
Proven experience in developing and implementing machine learning model
Proficiency in programming languages such as Python, and hands-on experience with machine learning libraries and frameworks (e. g., Scikit-Learn, TensorFlow, PyTorch, )
Experience with data processing, feature engineering, and model evaluation techniques
Preferable to have experience in Personalisation and Recommendation systems.
Knowledge of Deep Learning techniques and architectures, RL (Reinforced Learning), LLM (Large Language Model) is a bonus.
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
