Data Scientist

• Developed interactive dashboards in Power BI and Tableau, integrating complex data for insights on operations, customer behavior, and trends, enhancing strategic decisions.
• Mastered SQL for data manipulation, reporting, and optimized database performance. Led schema design and automation of data processing tasks through advanced SQL techniques.
• Used Python for data analytics, employing Pandas, NumPy, and Scikit-learn for data cleaning, analysis, and machine learning, automating analytical processes and adding predictive capabilities.
• Conducted geospatial data analysis with QGIS to identify market trends, optimize logistics, and improve marketing, supporting market expansion and operational efficiency improvements.
• Improved NLP model performance with prompt engineering for better data extraction and sentiment analysis, enhancing customer service chatbots and marketing communication personalization.
• Integrated Tableau with SQL and Python to automate data analytics pipelines, streamlining workflows, reducing manual work, and delivering timely, actionable insights to stakeholders.
• Authored comprehensive analytical reports combining AI insights and data visualizations to communicate findings, trends, and recommendations, enhancing executive decision-making and strategic initiatives.
• Pioneered the use of generative AI models to automate the creation of data narratives, transforming raw data into engaging, easily digestible reports for diverse audiences.
• Enhanced report accuracy and depth by integrating AI-driven predictive analysis, offering forward-looking insights and scenario planning to guide future business strategies and operations.