Iqbal Ahmad
About Iqbal Ahmad
Iqbal Ahmad is a Data Scientist Staff Engineer at Altimetrik in Bangalore, where he has worked since 2021. He has a background in Electrical, Electronics and Communications Engineering and possesses skills in data analysis, application deployment, and big data technologies.
Work at Altimetrik
Iqbal Ahmad has been employed at Altimetrik as a Data Scientist Staff Engineer since 2021. He has spent three years in this role, contributing to data analysis and monitoring efforts. His work primarily takes place in Bangalore, where he utilizes his expertise in data science to support various projects and initiatives within the organization.
Previous Experience in Data Science
Before joining Altimetrik, Iqbal Ahmad worked at Impetus Infotech Ltd as a Senior Engineer from 2018 to 2021. His role involved leveraging big data technologies, including Hadoop and Hive. Prior to that, he served as a System Analyst at Sensiple Software Solutions Private Limited for 11 months in 2017 to 2018, where he gained valuable experience in application management and deployment.
Education and Expertise
Iqbal Ahmad holds a Bachelor of Technology (BTech) degree in Electrical, Electronics and Communications Engineering from Abes Engineering College, Ghaziabad. He completed his studies from 2009 to 2013. His academic background provides a strong foundation for his work in data science, particularly in areas such as time series analysis and predictive modeling.
Technical Skills and Proficiencies
Iqbal Ahmad possesses a range of technical skills relevant to his role as a Data Scientist. He is proficient in using Splunk for data analysis and monitoring. Additionally, he has experience in managing and deploying applications using Docker. His expertise extends to building recommendation engines, which are essential for data-driven decision-making.
Big Data Technologies Experience
Iqbal Ahmad has significant experience working with big data technologies. His background includes practical knowledge of Hadoop and Hive, which are critical for handling large datasets. This experience enhances his capabilities in data analysis and supports his contributions to various data science projects.