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🥷 About Me

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.

🛠 Skills

Core Skills: Exploratory Data Analysis, Machine Learning, ETL Data Pipeline, AWS Services S3, DynamoDB, Redshift

👨‍💻Tech Stack

  • Python & R Programming - Pandas, NumPy, SciPy, Sic-Kit Learn, Seaborn, MatploLib, ggplotLib, Tensorflow

  • Data Management - Docker, Hadoop, Scala, Airflow, Kafka, Terraform, GCP

  • Miscellaneous Technologies - Regular Expression, Git, Excel, DROOLS, Xpath, Linux

  • Previously Worked on AWS services like SQS, SNS, Redshift, EC2, SWF & ELK (Elastic Search, Logstash & Kibana)

Currently..

  • 📜 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.

🔗 Links

linkedin

Karthik Srinivasan Muthuswamy's Projects

awesome-nlp icon awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

critical_data_analysis icon critical_data_analysis

This Project is focused on building the Model for House-Analysis Data using Linear and Logistic Regression Model

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

distributed_data_analysis icon distributed_data_analysis

The goal of the project is to gain understanding and value from analysing disparate data sets. We will put into practise a number of different analytic methods, techniques, and algorithms, assess their performance, and then compare them to one another. Teamwork and regular meetings will aid in the planning and execution of the data analysis.

distributed_data_analysis_python icon distributed_data_analysis_python

The goal of the project is to gain understanding and value from analysing disparate data sets. We will put into practise a number of different analytic methods, techniques, and algorithms, assess their performance, and then compare them to one another. Teamwork and regular meetings will aid in the planning and execution of the data analysis.

freecodecamp icon freecodecamp

The https://freeCodeCamp.org open source codebase and curriculum. Learn to code for free together with millions of people.

gitignore icon gitignore

A collection of useful .gitignore templates

mapreduce icon mapreduce

This objective behind this is to learn MapReduce Model within the Hadoop Framework that is used to access big data stored in the Hadoop File System (HDFS).

workshop icon workshop

AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

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