Fathima Nuthan Ahmed
About Fathima Nuthan Ahmed
Fathima Nuthan Ahmed is a Scientific Data Analyst at DLH Corporation, where she has worked since 2022. She has a strong background in biotechnology and data science, with experience in advanced machine learning techniques and a variety of data analysis methods.
Work at DLH Corporation
Fathima Nuthan Ahmed has been employed as a Scientific Data Analyst at DLH Corporation since 2022. In this role, she applies her expertise in data analysis and machine learning to support various scientific projects. Her work involves utilizing advanced data analytics techniques to enhance business operations and decision-making processes.
Previous Experience at Big Bang Data Science Solutions
Prior to her current position, Fathima worked as a Data Scientist at Big Bang Data Science Solutions from 2020 to 2022 in Atlanta, Georgia. During her tenure, she focused on developing data-driven solutions and implementing machine learning models to address complex data challenges.
Educational Background in Biotechnology
Fathima completed her Bachelor of Science in Biotechnology at Manipal Academy of Higher Education - MAHE, Dubai from 2008 to 2011. She further pursued a Master of Science in Medical Biotechnology at the same institution, graduating in 2013. Her education provided her with a strong foundation in both biotechnology and data analytics.
Technical Skills and Expertise
Fathima possesses a diverse set of technical skills, including proficiency in Python, SAS, and data visualization tools like Tableau and Power BI. She is skilled in advanced machine learning techniques, including ensemble methods, bagging, and random forest classifiers. Her expertise extends to molecular biology techniques such as PCR, DNA extraction, and gel electrophoresis.
Research Experience at Manipal Academy of Higher Education
Fathima served as a Research Student at Manipal Academy of Higher Education - MAHE, Dubai from 2012 to 2013. This experience allowed her to gain practical knowledge in wet-lab techniques and advanced data analytics, bridging the gap between biotechnology and data science.