SHREYAS SHANUBHOGANAHALLI NAGARAJU

Buffalo, NY +1-716-***-**** adgvi2@r.postjobfree.com https://linkedin.com/in/shreyas-s-619b03112/ Ambitious, determined Data Science graduate student with strong foundation in Machine learning, Mathematics, Programming, Data Structures and Algorithms seeking full time opportunities to enhance my abilities, and contribute to the organization. WORK EXPERIENCE

1. Applied AI/ML Intern, RIG Inc June 2020 – August 2020

Researched, designed and developed a heterogenous multi agent network which operates on Dynamic Trust (companies’ product) where communication between different agents is mandated by the environment in which they are in and is regulated by a principal agent

Implemented Q-learning and deep neural networks for the agent to find optimal actions in each state

Successfully completed and demonstrated the product in a short time and to the envisioned high-level design 2. Software Development Engineer at Microfocus March 2019 – August 2019

Designed and Developed a new standalone tool (Kylix) which exports keyword lists from different database servers according to policies and improved the response time (from 2-2.5S to ~500milli seconds compared to previous version)

Worked on supervisor, which looks for fraudulent, unauthorized exchange of data from employees, for clients like Bank of America, JPMorgan and other companies

Implemented elastic search for importing data and reduced the overall running time significantly 3. Software Development Engineer at Ericsson October 2016- March 2019

Worked on VPNS (virtual private network suite) which interacts with several nodes both in circuit switched and in the IMS domain, using multiple protocols to offer various services like Number portability, CLI replacement, voice mail and other things

Wrote highly efficient algorithms, modified existing software, upgrade interfaces and improved the performance by 33%

Developed prototypes of features in a short span of time and demonstrated successfully according to the client requirements

Worked in CPI(customer Partner Interaction) which provides secure access to TPG nodes and database to perform business process logic

Wrote test cases for end to end and component wise, to automate the process and to reduce human error, which resulted in faster code deployment and testing and reduced ~25 human hours of effort each time

Came up with a novel solution using Multithreading programming, which was finally incorporated into the actual product EDUCATION

• University at Buffalo, The State University of New York, (August 2020 – Feb 2021) Master of Science – Data Science GPA: 3.45/4

Related Course Work: Probability Theory, Numerical Mathematics, Statistical Data Mining -I, Programming and Database, Introduction to Machine learning, Data Model and query Language, Analysis and design of algorithms, Statistical Data Mining -II

• Sri Jayachamarajendra College of Engineering (SJCE) (August 2012 – May 2016) Bachelor in Engineering – Computer Science and Engineering Related Course Work: Database management systems, Design & Analysis of Algorithms, Computer organization and architecture, Object oriented programming, Web technologies, Cloud computing, Calculus, Statistics, Linear Algebra, Operating systems SKILLS

• Languages: Python, Java, R, MySQL, C, C++, Pearl, SQL

• Frameworks and Libraries: Hadoop, Pyspark, AWS, Sklearns,Tableau, Sci-kit, Pandas, NumPy, Matplotlib, Spring Boot, Hibernate, Rest API, J2EE

• Tools/Concepts: Data Mining, Statistical Data analysis, Machine Learning, NLP PROJECTS

1. News Sentiment analysis to predict stock prices Combined news sentiment score with other features to predict stock prices. Full E2E pipeline from collecting data to prediction, provided higher accuracy on and was able to better explain anomalies comparatively 2. Movie Recommendation Engine

Made a recommendation engine to recommend movies to users based on collaborative filtering(User-User and Item-Item) and cosine similarity

3. Walmart Sales Prediction

Given the previous sales record, future sales for different stores including holidays, must be predicted. Reached a score among ~top1% 4. Analysis of Boston Crime data

Analyzed crime data to visually tell a story to the user about the crimes based on day, hour, location etc. Predicted the crime rates based on features

CERTIFICATIONS

• Machine Learning A-Z : Hands-On Python & R In Data Science

• Oracle Sun-Certified Java Programmer

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