Anjala Abdurehman
About Anjala Abdurehman
Anjala Abdurehman is a Data Scientist with extensive experience in data analysis and machine learning. Currently employed at Fullcontact Inc. in Denver, Colorado, she has previously worked at Tata Consultancy Services and Bristlecone, among other companies.
Work at FullContact
Anjala Abdurehman has been employed at FullContact Inc. as a Data Scientist since 2019. In this role, she has focused on developing analytical solutions to enhance business strategies. Her work includes the implementation of machine learning models and the use of advanced algorithms to optimize data processing.
Previous Experience at Tata Consultancy Services
Before joining FullContact, Anjala Abdurehman worked at Tata Consultancy Services (TCS) in various capacities. She served as a Data Analyst from 2017, after a year as a Problem Management Lead from 2016 to 2017. Her tenure at TCS began with her role as a System Engineer from 2014 to 2016.
Experience at Bristlecone and IBM
Anjala Abdurehman has also gained experience as a System Engineer at Bristlecone from 2014 to 2016 and at IBM from 2012 to 2014. These roles contributed to her foundational skills in data analysis and engineering, enhancing her expertise in the field.
Education and Expertise
Anjala Abdurehman holds a Bachelor of Technology degree in Electronics Engineering from the College of Engineering, Trivandrum, where she studied from 2008 to 2012. Additionally, she pursued further education in Data Science at the International Institute of Information Technology Bangalore, which has equipped her with advanced analytical skills.
Technical Skills and Contributions
Anjala Abdurehman has developed several technical skills throughout her career. She has implemented positive unlabelled learning algorithms to enhance training processes and utilized fuzzy logic for text normalization in data processing tasks. Her contributions also include developing an analytical solution using XGBoost to improve product up-selling strategies and deploying machine learning models using Spark.