Transforming raw data into actionable business insights through advanced analytics, machine learning, and data engineering solutions.
Data Analytics graduate with hands-on experience in Data Engineering, ETL workflows, and Data Warehousing. Skilled in Python, SQL, Power BI, and IBM DataStage, with exposure to AWS and Linux fundamentals.
Trained in designing and implementing ETL pipelines, building dashboards, and applying machine learning techniques to transform raw data into actionable insights. Eager to leverage technical expertise and problem-solving skills to contribute to data-driven business solutions.
Developed an AI system using NLP to refine user prompts, improving precision of text-to-image generation. Implemented Stable Diffusion for dynamic AI model selection based on prompt context.
Built a logistic regression model predicting passenger survival with 80.36% accuracy. Applied feature engineering, data visualization, and statistical analysis.
I'm always interested in discussing new opportunities, innovative projects, and collaborations in data analytics and machine learning.