Highly motivated and ambitious Data Science professional with a solid foundation in Computer Science and Engineering, currently pursuing an M.S. in Data Science, AI & Digital Business. Proficient in DevOps methodologies and tools, with specific expertise in AWS Sysops and Microsoft Azure. Holds certifications in ITIL V3 and NICE administration, coupled with a recent M.S. in Executive Post Graduate in Data Science. Combines analytical acumen with strong machine learning skills to solve complex business problems and drive successful business outcomes. Looking to leverage a unique blend of technical expertise and business acumen in a challenging role.
Certificates: AWS Sysops Administrator, Microsoft Azure Administrator, ITIL V3 Foundation, NICE Certified administrator
Languages: Python, SQL, Go Lang
Developer Tools: Jupyter, Spyder, BitBucket, Git, Google Colab
Cloud Technologies: Amazon Web Services, Microsoft Azure
Infrastructure Tools: Terraform, Ansible, Kubernetes, Salt, Docker
Monitoring Tools: DataDog, Solarwinds, Splunk, Nagios, Cloud Watch
PAM Tools: BeyondTrust , CyberArk
Backup: Veeam
BI Tools: Tableau, Google Data Studio, PowerBi, Microstrategy
Libraries: pandas, NumPy, TensorFlow
Security Tools: Rapid7 , ThousandEyes, SonarQube
Ticketing Tools: Jira, ServiceNow, BMC Remedy, Zendesk
Operating Systems: Windows, MAC OS, Linux,VM Ware
Data Engineer Tools: SPARK, MapReduce, SCALA, HIVE ,Kafka, ElasticSearch