Venkata Geethik Kumar Rachaputi

Email: adwllb@r.postjobfree.com Contact: 716-***-**** LinkedIn: https://www.linkedin.com/in/geethik-rachaputi EDUCATION

Master’s in Data science and Applications February 2024 University at Buffalo - The State University of New York, New York, USA Course Work: Statistical Data Mining (Supervised and Unsupervised Learning), Database Management Systems, Probability and Statistics in R, Python, Machine Learning CGPA: 3.917 /4.0

Bachelor of Engineering in Computer Science and Engineering July 2021 Jain University, Bangalore, India

CGPA: 3.52 / 4.0

TECHNICAL SKILLS

• Languages: Python, R, Genero-4gl, bash scripting, C, Java

• Database: MySQL, PostgreSQL, Hadoop, SQLite3

• Web Development: HTML, CSS, Javascript

• Software Tools: Jira, Confluence, Visual Studio TFS, Git, Visual Studio Code

• Packages: Tensorflow, Pytorch, Keras, Numpy, Pandas, matplotlib, Seaborn PROFESSIONAL EXPERIENCE

PowerSchool India Bangalore, India

Associate Software Engineer I July 2021 – July 2022

• Accomplished work on ERP product (eFinancePlus) using Genero-BDL, AngularJS on shared hosting GitLab and Team Foundation Server (TFS).

• Directed to software development, designing test cases, demonstrating functionalities incorporated, performing modifications, testing, and maintenance improving product stability by 27%.

• Executed complex queries on Microsoft SQL to manage data operations between front-end and underlying code for various operations for ETL processes.

• Evaluated Code Reviews for peers as part of development and CI/CD process making code more consistent and robust.

Pelatro Solutions Bangalore, India

L2 Support Intern February 2021 – June 2021

• Rendered complex SQL queries using PostgreSQL to manipulate data on database.

• Modified various Automation scripts using bash scripting to dissolve manual running jobs by 34%.

• Created Monit alerts to keep a regular check on processes running and ensure high performance.

• Performed MapReduce jobs on 1000s of records for campaigns reducing data load by 73% on database. ACADEMIC PROJECTS

Predicting house sale prices in New York: R, Jupyter

• Implemented XGboost regression model on dataset to analyze data and plot a graph to predict range of house prices in New York city.

Analysis of crime rate in Baltimore city: Python, Jupyter, SQLite3, Seaborn, Folium

• Cleaned, munged and stored data into a database on SQLite3.

• Engineered an analysis model to extract data stored in SQLite3 to classify and visualize data on different plot graphs using packages matplotlib, Seaborn, Folium.

Image Recognition using Neural Networks: Tensorflow, Pytorch, Numpy, Pandas, matplotlib

• Built a Convolutional Neural Network based on AlexNet model to recognize and learn about images of different type with input having over 30000 images of dogs, food and vehicles. The accuracy of the model built resulted in almost 95.63%.

PUBLICATION

• Co-author, E-Challan Generation for Helmet Violators published in Journal of Information and Computational Science, ISSN: 1548 - 7741, Vol 11, Issue 4, Page No: 473 – 478

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