Data Science professional with a proven track record in driving impactful business solutions and supporting leading tech companies as an analyst. With a strong foundation in data engineering and analytics, I have consistently leveraged data science techniques to forecast trends, optimize operations, and provide strategic business insights. Experienced in applying descriptive, predictive, and prescriptive analytics to solve complex problems and deliver actionable recommendations. Adept at working with large datasets, I excel in preparing detailed reports and providing data-driven solutions that support business objectives. Graduate of Long Island University with a degree in Data Science. Currently working as a Data Scientist, I bring a wealth of experience in cloud platform solutions, data management, and operations, with a deep understanding of industry best practices. Skills and Core Competencies: Analytical Tools and Programming Languages: Python (Pandas, NumPy, Matplotlib, Scikit-Learn), SQL, R, Tableau, Power BI, SAS, C, Java, NoSQL, HTML, CSS, JavaScript, JIRA, Git. Statistics: Hypothesis Testing, Regression Analysis, Forecasting, Data Visualization. Technical Expertise: AWS (EC2, S3, Redshift, CloudWatch), Azure, Hadoop, Microsoft Excel (Pivot Tables, VLOOKUP), MySQL, MongoDB, Oracle, Teradata, DynamoDB, Docker, Agile SDLC, ETL Tools, Spark, IBM Watson, Beautiful Soup, Jupyter, JSON, API Development, Spring Boot, React, PyTorch, Machine Learning, NLP. Project Management: Strategic Planning, Process Improvement, Risk Management, Business Forecasting, Effective Communication. Driven by a passion for continuous learning and professional growth, I strive to push the boundaries of what’s possible with data. My guiding principles are "Consistency, Curiosity, and Collaboration."