PUGAZHVENTHAN KULANDAIVEL

Boulder, Colorado. ad15c5@r.postjobfree.com LinkedIn Profile +1-303-***-**** EDUCATION

University of Colorado, Boulder, United States Aug 2022 — May 2024 Master of Science (MS) in Data Science GPA: 3.6/4.0 Relevant Coursework: Data Mining Machine Learning Neural Networks and Deep Learning Natural Language Processing Information Visualization Statistical Distributions SRM Institute of Science and Technology, Chennai, India Jul 2018 — May 2022 Bachelor of Technology (B. Tech) in Computer Science and Engineering GPA: 8.39/10 TECHNICAL SKILLS

Programming Languages: Python, R, SQL, C++

Tools: PostgreSQL, Visual Studio Code, MS Office, Anaconda, R studio, MYSQL Server Packages: NumPy, Pandas, Matplotlib, Seaborn, PyTorch, Scikit-Learn (sklearn), Keras, Tensorflow, ggplot2, tidyverse, dplyr

EXPERIENCE

DLK Technologies Pvt Ltd Data Science intern Chennai, India Mar 2022 — May 2022

• Analyzed complex data sets using advanced querying, visualization, and processing techniques analytic tools (Tableau & Apache Spark)

• Utilized Web scrapping technique to extract and organize data

• Prepared reports through data cleaning, data visualization, and writing insights

• Updated data streamlining processes, resulting in 20% redundancy reduction ACADEMIC PROJECTS

Milk Quality Prediction using Machine Learning Jan 2023 – May 2023

• Developed machine learning models to predict milk quality with high accuracy based on diverse parameters such as temperature and pH

• Identified critical parameters affecting milk quality through feature selection, improving model performance and enabling targeted quality

• Demonstrated superiority of machine learning models over traditional methods, achieving enhanced efficiency and accuracy in milk quality Data-Driven Product Recommendations for the Liquor Industry – Data Mining gtctcdftvhtjuAug 2022 – Dec 2022

• Implemented a successful recommendation system for liquor categories for a store by segmenting rural and urban markets

• Data analysis on liquor sales, including income distribution and point-of-sale data, would generate more accurate insights

• Created two separate recommendation systems based on urbanization, accounting for the unique behaviors of liquor retailers and consumers in rural and urban areas in Iowa

Analysis of Climate change data using R and Python - Stats 5000 course Aug 2022 — Dec 2022

• To find the contribution of different causes and how the effects are correlated to global warming around the world

• This project is used to find how are different greenhouse gasses correlated to global warming

• To get some of the changes in earth’s weather patterns such as increase in rainfalls, prolonged summers related to global warming Face Mask Detection Using Deep Learning July 2021 — Nov 2021

• Developed a COVID-19 face mask detector using OpenCV, Keras, TensorFlow, and Deep Learning

• Trained two-class model of people wearing masks and people not wearing masks

• Fine-tuned MobileNetV2 on our mask/no mask dataset and obtained a classifier that is 99% accurate CERTIFICATIONS

Python Data Structures May 2021

SQL for Data Science June 2021

Crash Course on Python July 2021

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