Python, R, SQL, MS Excel, Tableau, PowerBI, data analysis

SRAVYA REVURU

sr**** @njit.edu https://www.linkedin.com/in/sravyarevuru/ Harrison, NJ -

***** (Open to Relocate) +1-862-***-****

EDUCATION

New Jersey Institute of Technology, Newark, New Jersey, USA Aug 2019 - May 2021 Master of Science in Data Science

BMS College of Engineering, Bangalore, India Aug 2014 - May 2018 Bachelor of Science in Electronics and Telecommunication Engineering SKILLS

● Programming Languages: Python, SQL, NoSQL( MongoDB ), Oracle PL/SQL, MySQL, RDBMS, MS SQL, R, SAS

● Big Data and Distributed Ecosystems: Hadoop, HDFS, MapReduce, Hive, Spark, SparkMLib, AWS S3, EC2

● Data Visualization, BI/Dev tools: Tableau, Power BI, Matplotlib, Seaborn, ggplot, plotly, Jupyter, R-Studio, Git, Docker

● Machine Learning : Regression, Classification, Clustering, Decision Trees, Ensemble methods, SVM, XGBoost

● Deep Learning: Neural Networks, CNN, RNN, Sequence Models, Hyperparameter Optimization

● Machine Learning libraries: NumPy, Pandas, TensorFlow, Keras, PyTorch, NLTK, spacy, scikit-learn,OpenCV, Scipy WORK EXPERIENCE

EY: Data Science Capstone, New Jersey, USA Feb 2021 - May 2021 Skills used: Python, Data Modeling, Visualization

● Utilized Python to develop unsupervised learning process for cybersecurity application User Access Management.

● Group users into segments based on their access rights and recommend right access to the new users, anticipate users with excess access.

● Build the end to end project utilizing Flask, HTML, Jinja, python to automate the process. Saama Technologies: Data Science Intern, New Jersey, USA July 2020 - Oct 2020 Skills used: Python, XGBoost, SQL, Excel, Apache Airflow

● Preprocessing large scale COVID medical data and feature engineering

● Prepare analytical reports showing insights to Project Manager by using Tableau dashboards

● Developed model using XGBoost to find primary investigator details for particular area Accenture: Associate Software Engineer, Bangalore, India Nov 2018 - Aug 2019 Skills used: SQL, Business Intelligence, Data Warehousing

● Analyzed various forms of data and performed data Preprocessing for large datasets

● Visualized and created dashboards according to client requirements

● Enhanced business products and optimized SQL queries. Migrated Database engines

● Identified and fixed production issues in the reports generated from the databases

● Worked with various database engines including MS SQL Server DB, MS access DB and Oracle DB to generate reports ACADEMIC PROJECTS

Flight Data Analysis (Java, Hadoop, AWS EC2 Instances) Apr 2020 - May 2020

● Designed an Oozie workflow to process and analyze 22 years of Flight Data in around 9 minutes. Implemented Hadoop architecture in Amazon EC2 instances to setup Data Node and Name nodes. Developed Java programs to process the large dataset using Map-Reduce framework.

Classifying SNP Genotypes (Python, Scikit-Learn) Oct 2019 - Nov 2019

● Applied extensive feature selection using chi-square test to select 18 best features from 29623 features

● Built support vector machine and logistic classifiers to predict the labels. Cross validated training data to evaluate the accuracy of the model and achieved the accuracy of about 66%. Recognize artwork attributes from the Metropolitan Museum of Art (R, TensorFlow) Oct 2019 - Nov 2019

● Finding significant attributes to identify a specific work of art. The Met has a diverse collection of over 1.5M objects LEADERSHIP EXPERIENCES

BMSCE Swayam Forum: Co-president and Organizing member, India Jan 2016 - Aug 2018

● Orchestrated awareness campaigns involving around 30 members to mentor high-school students about future opportunities NJIT GWiCS Forum: Vice President, USA Dec 2019 - Present

● Organized Ted Talk events to empower women at NJIT

● Volunteered for hackathons and career fairs, mentored undergraduate, middle and high school girls and lead a team of girls

Contact this candidate