Sravya Kodavatiganti New Jersey +12017260636 Hello everyone! My name is Sravya Kodavatiganti, and I have a solid experience as a Big Data Engineer and worked on ETL Tools, Datawarehouse, PySpark, Apache SQL, Tableau, Scala, Kafka, Hive, HBase, Cassandra. I am an enthusiastic of computer science. I have a special interest in Data Structures and Algorithms, Cloud Computing, Data Base management Systems, Web System Development, Big Data, Machine Learning. I am driven to provide my talents as a volunteer because I am keen on developing knowledge in Data Science such as Machine Learning Deep Learning since I had done internship in this area and it will be helpful for me to enhance in a deeper way, Cloud Computing, Big Data, and want to support back to the tech community assisting open-source projects. I'm especially interested in projects that entail creating open-source libraries, constructing machine learning models, working on large datasets by ETL, Cloud areas such as GCP, AWS, Azure for social good, or contributing to ongoing research initiatives. I'm the kind of person who is result-driven, self-motivated, cooperative, and having outstanding communication skills. To put it briefly, I would like to help a project that has a practical impact and making connections with like-minded people in the IT community. I have built and deployed machine learning models using TensorFlow before. I successfully created a sentiment analysis model with 90% accuracy in my prior project. Worked as a Data Analyst and developed ingestion module to ingest data into HDFS from heterogenous data sources and used Apache Hive to run map reduce jobs on top of this HDFS data, involved in performance optimization of Spark jobs and designed efficient queries to query data from Hbase. I'm excited to find out more about the volunteer options and the best ways I can use my expertise to help. I appreciate all of your time and thought.

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Full name: Sravya Kodavatiganti
User name: Sravyakganti
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Education: Bachelor's on Computer Science (Stanley College of Engineering & Tech for Women)
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Hours available per week: 10
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