Archil Beridze

San Jose, CA • +1-669-***-**** • advtw2@r.postjobfree.com • LinkedIn • GitHub

Professional Experience

Data Scientist Intern May 2022 – August 2022

DeepCast, Houston, Texas

• Contributed to development of machine learning models reducing workload of scientists working in electrochemistry, some models could cut calculation time from 3 months to couple of minutes

• Collaborated with other data scientists to conduct state-of-the-art research and reconstruct architectures discussed in papers to identify baseline approaches,

• Assessed runtime of several open-source Python libraries and refactored code to optimize performance, resulting in 20% increase in runtime efficiency

• Utilized PyTorch framework to build neural network for solving curve fitting problem. Model converged 50% faster with trade-off in accuracy compared to classical statistical approaches Junior Data Scientist October 2019 – June 2021

Credo Bank, Tbilisi, Georgia

• Developed and managed credit scoring model. Scorecard was employed in Credo service centers on daily basis to determine creditworthiness of customers

• Utilized Pandas library to automate sales report generation. Report improved data accessibility for 70+ service centers of Credo throughout country

• Performed churn analysis of bank’s clients using classification and clustering algorithms

• Deployment of classifiers resulted in generating activity from 15% of inactive customers Education

Master of Science in Computer Engineering

San Jose State University, San Jose, CA May 2023

GPA: 3.86/4.00

Bachelor of Science in Computer Engineering

San Diego State University, San Diego, CA May 2020 GPA: 3.72/4.00

Relevant Coursework: Data Structures, OOP, Embedded Systems, Computer Organization, Machine Learning, Deep Learning, Data Mining, Intelligent Systems

Projects

Federated Recommendation System San Jose State University Master’s Project

• Leading small team of students to build an open-source federated recommendation system utilizing TensorFlow Federated library. Project aims to simplify usage of federated learning algorithms Smart Electrocardiogram System San Diego State University Capstone Project

• Designed neural network for processing and classifying electrocardiogram signals. Model was trained using Keras library and then implemented in C++ to allow it to be deployed on an FPGA device OXA programming language Personal Project

• Developed an interpreter for object-oriented, dynamically-typed, scripting language in Rust Awards

• Fulbright Scholarship 2021-2023

• Edmund S. Muskie Professional Fellowship Award 2022 Skills

Python, C++, Rust, Tensorflow, Keras, PyTorch, Scikit-learn, OpenCV, Data Science, Machine Learning, Deep Learning, Data Visualization, SQL, NLP, Computer Vision

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