Python Advanced proficiency with hands-on experience using core data science libraries like Pandas, NumPy, PySpark, and Scikit-learn.
Machine Learning Expertise Strong understanding of key ML algorithms, including Gradient Boosting, Random Forest, Time Series forecasting, and Deep Learning.
Analytical Experience 2+ years in the analytics or data science field, with a proven ability to extract insights and tell impactful data stories from large-scale datasets.
Hands-on involvement in large-scale development projects, particularly those with highly modularized codebases.