Swaroop Korivi

§ https://github.com/Swaroop-** ï://www.linkedin.com/in/swaroop-korivi-226803239/

# ad1mlh@r.postjobfree.com H +1-862-***-****

Career Objective

To work on integrating my skills, adapting to technological trends and be the best version of myself, thereby contributing to the growth of firm with my work.Ready to join a team of critical thinkers to build a data stack from scratch for the e-commerce space. Skills

Relevant Coursework Big Data, Machine Learning, Data Mining, Applied statistics, Data Analyt- ics with R, Data Warehousing, Database management system design, Deep Learning, SAS and R, Cloud computing.

Programming Languages Python, Java, R

ML, Deep Learning NumPy, Pandas, scikit-learn, spacy, Regression, Classification, Clustering, De- cision Trees, Neural Networks, CNN, RNN

Frameworks Scikit, NLTK, TensorFlow, Keras, Django, Flask, NodeJS, LAMP Databases SQL, MySQL

Cloud Technologies Apache Hadoop, Cassandra, Hive, Spark, Tableau Miscellaneous skills Problem Solving,Enthusiastic,Hardworking,Good communication skills Education

2021- present Master’s in Data Science at NJIT University Newark,NJ GPA: 3.3/4.0 2016 - 2020 Bachelor’s Degree at GITAM University Vskp,INDIA GPA: 7.8/10 Work Experience

Accenture

Associate Software Engineer August 2020 – February 2021

– Implemented huge data sets using Apache Hadoop.

– Stored and retrieved the historical data by Apache Cassandra.

– Created databases and data collection systems And also trained for reading, overwriting and managing large dataset files that are eventually stored in HDFS (Apache Hadoop Distributed File Systems).

– Experience in writing complex and optimized SQL queries whereas filtering and cleaning of data was done and Data was analyzed using statistical techniques, and reports were produced by working on Tableau.

Projects

Sentimental Analysis For Reviews using NLP

-Sentimental analysis was performed on movie reviews to find out what viewers liked/disliked about the movie. NLP library spaCY was used for the analysis. Flight Data Analysis (Java, Hadoop, AWS EC2 Instances)

-Created cloud-based Big Data workflows to process and analyze a large volume of flight data. Oozie workflows were created and run to analyze the data at one time on two VM’s and execution times were measured at progressive levels