I'm a Data Engineer with a background in Application Engineering, Data & Infrastructure Management and Automation at Amazon. Currently, a student at 🏫 Brunel University studying 🎓Master of Science in Data Science and Analytics.
Core Skills: Exploratory Data Analysis, Machine Learning, ETL Data Pipeline, AWS Services S3, DynamoDB, Redshift
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Python & R Programming - Pandas, NumPy, SciPy, Sic-Kit Learn, Seaborn, MatploLib, ggplotLib, Tensorflow
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Data Management - Docker, Hadoop, Scala, Airflow, Kafka, Terraform, GCP
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Miscellaneous Technologies - Regular Expression, Git, Excel, DROOLS, Xpath, Linux
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Previously Worked on AWS services like SQS, SNS, Redshift, EC2, SWF & ELK (Elastic Search, Logstash & Kibana)
- 📜 I’m currently learning: ML flow management tools, and Building Data Pipeline for the NY Taxi Data Analysis.
- 🔭 I’m currently working on: Identifying a Better problem for the Post Grad Thesis & Venturing to start writing Blogs on the Tech issues & Learning
- 🤝 I'm happy to collaborate on projects in automation and AI, interested in working/Knowing more about Data Engineering) in different Fields. 🧨
- 🔁 Whether I'm in a new city or not, I make it a point to attend a tech meetup once a month, to meet great minds and PyData meetup is something I never miss.
