As an Associate(Data Science) at WNS, I have been responsible for designing and implementing advanced architectures in the retail industry. I collaborated with domain experts to evaluate model performance and stayed updated with the latest research in statistical analysis, machine learning, and deep learning.

As a Data Scientist i have adopted to design and implement advanced data models using Python packages such as Pandas and NumPy, enabling efficient data manipulation and mathematical computations.My experience with regression techniques spans from Linear and Logistic Regression to more complex methods like Ridge and Lasso Regression, all implemented using Scikit-learn.In the realm of classification, I've successfully deployed algorithms like Decision Trees, Random Forests, Support Vector Machines, and K-Nearest Neighbors to solve diverse business challenges.I have honed my programming skills in Python and SQL ensuring versatility in various data environments.With visualization tools like PowerBI, and Python's Matplotlib and Seaborn, I've transformed intricate data into intuitive visual narratives.My statistical prowess is evident in my proficiency with hypothesis testing, A/B testing, and multivariate analysis, often utilizing the Statsmodels package for in-depth insights