4+ years of experience in Data Science with strong expertise in machine learning, statistical analysis, data mining, and relational databases. Hands-on experience developing and evaluating Machine Learning, Deep Learning, and NLP models using Python libraries such as scikit-learn, TensorFlow/Keras, NLTK, and SciPy. Proficient in data manipulation using NumPy, Pandas, SQLAlchemy, and data visualization using Matplotlib, Seaborn, Tableau, and Power BI. Strong foundation in statistical modeling, hypothesis testing, A/B testing, and inferential analysis to support data-driven business decisions. Experience with supervised and unsupervised learning techniques, including regression, classification, clustering, and ensemble models. Extensive exposure to cloud platforms (AWS and Azure) and databases including MySQL, SQL Server, Oracle, MongoDB, and Snowflake. Strong collaborator with experience working in Agile environments and using Git/GitHub for version control.
4+ years of experience in Data Science with strong expertise in machine learning, statistical analysis, data mining, and relational databases. Hands-on experience developing and evaluating Machine Learning, Deep Learning, and NLP models using Python libraries such as scikit-learn, TensorFlow/Keras, NLTK, and SciPy. Proficient in data manipulation using NumPy, Pandas, SQLAlchemy, and data visualization using Matplotlib, Seaborn, Tableau, and Power BI. Strong foundation in statistical modeling, hypothesis testing, A/B testing, and inferential analysis to support data-driven business decisions. Experience with supervised and unsupervised learning techniques, including regression, classification, clustering, and ensemble models. Extensive exposure to cloud platforms (AWS and Azure) and databases including MySQL, SQL Server, Oracle, MongoDB, and Snowflake. Strong collaborator with experience working in Agile environments and using Git/GitHub for version control.