Maryam Fatima

Dedicated time to independent research and preparation for prospective PhD studies, leveraging this period to delve into advanced learning and skill acquisition.

Completed rigorous coursework in prompt engineering and earned certifications in LLM engineering through Deeplearning.ai.

Aim to publish high-quality research papers or contribute to academic conferences in trust and safety AI, showcasing your understanding and advancements in this critical area

• Analyzed, identified, and resolved data issues and created an optimized model for an NLP web application, which increased the accuracy by 35%, and the company achieved 1 million in funding.
• Automated the ETL CI/CD of data analysis, ingestion, and management of the clients NLP web application through Jenkins, which sped up the process for the client by 70% and increased their revenue by 500K.
• Created algorithms to extract relevant information from unstructured data sources.

• Performed exploratory analysis on large datasets using SQL and Python libraries such as Pandas, NumPy, Scikit-Learn, and Matplotlib.
• Conducted feature engineering activities such as variable selection and transformation for building effective prediction models.

• Conducted literature reviews and synthesized research findings in preparation for data analysis.
• Published thesis and research regarding quantum cosmology and astrophysics in University's publication.
• Provided guidance to undergraduate students working on independent projects related to the main research focus.