VARUN PRAVIN DEOKAR

480-***-**** adz5ja@r.postjobfree.com www.linkedin.com/in/varun-deokar Tempe, AZ EDUCATION

Arizona State University, Tempe, AZ Expected: December 2024 Masters of Computer Science (GPA 3.9/4.00)

Vidyalankar Institute of Technology, University of Mumbai, India May 2022 Secured Bachelor of Engineering in Information Technology with Distinction (GPA 3.81/4.00) PROFESSIONAL EXPERIENCE

Invisible Group Partners LLC, California, USA (Remote) April 2022 – July 2022 Data Science Intern

Invisible Group is a California-based LLC specializing in data-driven approaches to discover overlooked real estate investments.

• Extracted data for over 10 cities in USA using APIs and libraries such as Beautiful Soup, Scrapy, and Selenium.

• Processed over 1 million diverse data points to ensure data quality and enhance model training, improving model accuracy.

• Trained and fine-tuned a range of machine learning models, including XGBoost, LightGBM (LGBM), and TabNet, to predict real estate prices with a RMSE of less than 2%.

• Deployed a Flask-based web application on Amazon Web Services (AWS) infrastructure, enabling user input for real-time predictive purposes.

• Optimized data transfer workflows between local systems and Google Cloud Platform by implementing efficient data handling procedures, leveraging Bigtables and buckets, enhancing data management and accessibility. Business Toys Pvt Ltd, Bengaluru, India May 2021 – June 2021 Data Analyst Intern

Business Toys is a prominent online education company specializing in Data Analysis and Machine Learning.

• Gained hands-on experience in industry-standard data analysis practices and techniques, honing practical skills.

• Analyzed extensive Xiaomi dataset, comprising over 100,000 real-world entries, to identify valuable trends and patterns aimed at optimizing company profits.

• Presented findings to the project supervisor, demonstrating effective communication and data analysis abilities. ACADEMIC PROJECTS AND PAPERS

Volume Control Using Hand Gestures

• Inscribed a Python-based script leveraging computer vision and deep learning techniques to enable real-time volume control of electronic devices through hand gestures captured by the device's camera.

• Utilized technologies such as Python, OpenCV, and deep learning frameworks to create a seamless and interactive user experience.

Vast Mini Challenge

• Spearheaded a team of five individuals in completion of the VAST 2019 challenge, which established immediate situational awareness for St. Himark during natural disasters like earthquakes.

• Facilitated the streamlined allocation of resources and aid to the community by government officials.

• Utilized technologies such as D3 and Javascript to create a interactive web interface using data visualization techniques. DocFix - One website for all your document needs

• Constructed a website with Flask to integrate several NLP features such as Text Summarization, and Sentiment Analysis.

• Authored and published a paper on DocFix in the International Research Journal of Engineering and Technology in November 2021, Volume 8, Issue 11, ISSN: 2395-0056. TECHNICAL SKILLS

• Languages: Python, Java, C, JavaScript, HTML, CSS, SQL, NoSQL.

• Relevant Skills: Machine Learning, Data Science, Software Development, Web Development, Wireframing, Security, Database Management, Data Mining, Data Engineering, Data Structures and Algorithms, Computer Vision, Debugging.

• Technologies and Frameworks: Git, CMD, Powershell, Bash, JQuery, Bootstrap, React, Node JS, Express, Flask, Django, Numpy, Pandas, Seaborn, Matplotlib, SciKit-Learn, Pytorch, Open CV, D3 Js.

• Software: GCP, AWS, Github, VS Code, Anaconda, Google Colab, Microsoft Office, Tableau.

• Additional Skills: Academic Writing, Competitive Coding, Adobe Creative Apps, Documentation.

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