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Hello Visitor 👋

I am an MS Computer Science graduate from Iowa State University. Recently, I worked at Ancestry Inc as a Data Science Engineering Intern, where I worked on productionalizing ML models, and optimizing the feature engineering process.

I am proficient in Java, Python and C. In Python, I have used Tensorflow, Keras, scikit-learn, Pandas and Numpy libraries to build Machine Learning models, perform statistical analysis on genetic data and deploy models to production. In Java, I have worked on J2EE web development, Swing and AWT desktop application development.

Prior to joining ISU, I worked at Hewlett Packard Enterprise as a Software Engineer for 2.5 years and later at Infosys Ltd as a Big Data Engineer for another 2.5 years. Working at these companies was a great experience for me to learn about datawarehousing, distributed systems, data processing, web development and agile methodology.

I consider myself to be a motivated, positive and hard working individual who wants to work on world changing innovative projects.

I am always open to work for technology-driven companies and interesting open-source projects. You can contact me on Github or on any of the below sites:

📝Linkedin - https://www.linkedin.com/in/sriharshavk/

📝Twitter - https://twitter.com/KVajjhala

📝Medium - https://medium.com/@vk.sriharsha

Kumara Sri Harsha Vajjhala's Projects

aima-exercises icon aima-exercises

Exercises for the book Artificial Intelligence: A Modern Approach

causal-inference-on-gene-expression-data icon causal-inference-on-gene-expression-data

Python implementation of the PCA-CMI algorithm proposed by Zhang et al. and comparison of the results with the IC algorithm to predict gene regulatory network skeleton and edge orientations.

fastds icon fastds

A Library for numerous DataStructures with different implementations

metaomgraph icon metaomgraph

MetaOmGraph: a workbench for interactive exploratory data analysis of large expression datasets

psc_stigma icon psc_stigma

Data pipeline and baseline analytics of text data pulled from Reddit and concerning substance use.

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