anjum afroze

I’m an aspiring data analyst who turns raw data into clear, actionable insights through statistical analysis, data visualization, and reporting. I focus on accuracy, from data cleaning and preprocessing to resolving inconsistencies so stakeholders can trust the numbers.

In my data science internship at Rubixe, I executed end-to-end workflows—EDA, dashboard/report generation, and predictive modeling with supervised and unsupervised techniques. I also supported deployment of trained models into practical, business-facing applications with reproducible, maintainable pipelines.

I build interactive dashboards and reports in Power BI and Tableau, and I use SQL for extraction and analysis. I’m comfortable communicating complex findings in plain language for non-technical audiences, using storytelling supported by tools like Matplotlib, Seaborn, Google Sheets, and Google Slides.

I’m also growing quickly in Generative AI and Agentic AI, including prompt engineering, LLM fine-tuning, PEFT with LoRA, reinforcement learning concepts, and LLM app development with LangChain and CrewAI for multi-agent orchestration—supported by cloud tooling on AWS. Alongside this technical foundation, my operations and financial administration background has strengthened my discipline for reliable, deadline-driven reporting.