Developed end-to-end Machine Learning and NLP solutions, including data preprocessing, feature engineering, model training, evaluation, and deployment for business use cases.
Performed exploratory data analysis (EDA) and statistical analysis using Python and SQL to extract insights from structured and unstructured datasets.
Built and optimized machine learning models such as regression, classification, clustering, and ensemble methods to generate predictive insights.
Collaborated with cross-functional teams and stakeholders to translate business requirements into scalable AI/ML solutions and support model deployment.
Your profile
Experience in Python (NumPy, Pandas, Matplotlib, Seaborn) and SQL for data analysis, feature engineering, and machine learning development.
Hands-on experience with machine learning frameworks such as Scikit-learn, TensorFlow, and PyTorch.
Knowledge of Natural Language Processing (NLP) techniques and Generative AI concepts, including familiarity with Large Language Models and tools like LangChain.
Experience with data visualization tools such as Tableau or Power BI and exposure to cloud platforms like AWS, Azure, or GCP.
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data ScientistEmployement Type: Full time