My name is Rohan Mistry (@rmluck). I am currently a fourth-year student from Chino Hills, CA enrolled at UC Irvine, studying Computer Science at the Donald Bren School of Information and Computer Sciences. I have had an interest in computer science for a long time and am very excited to be able to pursue that passion at college now!

You can reach out to me via email at [email protected], Discord, Instagram, or LinkedIn!

• Collaborate on meaningful marketing projects
• Write web scraping code to make industry research more efficient
• Assist with new product introduction activities
• Edit marketing collateral
• Review and edit web content
• Research trends and competitors
• Manage inventory analysis
• Communicate with clients for promotional sales and activities

• Ran daily operations of innovative food delivery service using 50+ autonomous robots
• Executed start-of-day/end-of-day charging and cleaning of robot fleet
• Repaired robots and troubleshot during unexpected situations
• Carried out maintenance activities and upgrades on robots and infrastructure
• Maintained hub-based warehouse and conducted regular inventories
• Communicated and collaborated with merchants

Below are the relevant courses I have taken at UC Irvine:
- COMPSCI 165       : Project in Algorithms and Data Structures                       (Winter 2024)
- IN4MATX 131       : Human Computer Interaction                                      (Winter 2024)
- COMPSCI 178       : Machine Learning and Data-Mining                                (Winter 2024)
- COMPSCI 143A      : Principles in Operating Systems                                 (Winter 2024)
- COMPSCI 121       : Information Retrieval                                           (Fall 2023)
- COMPSCI 161       : Design and Analysis of Algorithms                               (Fall 2023)
- COMPSCI 171       : Introduction to Artificial Intelligence                         (Fall 2023)
- COMPSCI 122A      : Introduction to Data Management (SQL)                           (Spring 2023)
- I&C SCI 53        : Principles in System Design                                     (Spring 2023)
- I&C SCI 46        : Data Structure Implementation and Analysis                      (Winter 2023)
- I&C SCI 45J       : Programming in Java as a Second Language                        (Winter 2023)
- STATS 67          : Introduction to Probability and Statistics in Computer Science  (Winter 2023)
- I&C SCI 45C       : Programming in C/C++ as a Second Language                       (Fall 2022)
- I&C SCI 51        : Introductory Computer Organization                              (Fall 2022)
- IN4MATX 43        : Introduction to Software Engineering (Python)                   (Fall 2022)
- I&C SCI 33        : Intermediate Programming (Python)                               (Spring 2022)
- I&C SCI 6N        : Computational Linear Algebra (w/ NumPy)                         (Spring 2022)
- ICSSC Fellowship  : Web Development                                                 (Spring 2022)
- I&C SCI 32        : Programming with Software Libraries (Python)                    (Winter 2022)
- I&C SCI 6D        : Discrete Mathematics for Computer Science                       (Winter 2022)
- I&C SCI 31        : Introduction to Programming (Python)                            (Fall 2021)
- I&C SCI 6B        : Boolean Logic and Discrete Structures                           (Fall 2021)
- I&C SCI 90        : New C.S. Student Seminar                                        (Fall 2021)

### Outside Courses
- Getting Started with AI using IBM Watson (IBM)
- Introduction to Artificial Intelligence (IBM)
- Introduction to Data Analytics (IBM)
- Introduction to Software Engineering (CodePath)
  
### High School Courses:
- Engineering Design and Development (2020-21)
- AP Computer Science Applications (2019-20)
- Civil Engineering and Architecture (2019-20)
- AP Computer Science Principles (2018-19)
- Introduction to Engineering Design (2017-18)

At UC Irvine, I am also involved in various organizations such as:

• Sports Business Association
• Data Science Club
• Artificial Intelligence Club
• Google Developer Student Club
• Cybersecurity Club
• Management Information Student Society
• Future Business Leaders of America
• Design Club
• Association of Computing Machinery

• Host guest speakers from sports business industry
• Networking opportunities and workshops to gain industry knowledge
• Private tours of nearby sports facilities
• Track organization member participation
• Conduct data analysis on social media engagement of organization's accounts, including Instagram
• Other web-related tasks

I have familiarized myself with Python over the first year in college and have some prior knowledge in JavaScript, HTML, CSS, and C++.

🏆 Won "Best Analysis of Airbnb Market in Dublin (Sponsored by SrataScratch)" Award at UCI Datathon 2024. Given SrataScratch datasets, collaborated with team to perform exploratory data analysis to analyze, visualize, and present market demand and supply, aiming to elevate Airbnb experience for guests and hosts. Leveraged tools such as DeepNote, Alteryx Designer, and Python libraries (Pandas, Matplotlib, Seaborn, NumPy, Scikit-Learn). Built visualizations such as Day & Month Performance Heatmap, Geographical Heatmap, and tested and trained a decision tree classifier machine learning model to achieve 88.48% accuracy.

Skills: DeepNote, Alteryx Designer, Scikit-Learn, Seaborn, Matplotlib, NumPy, Pandas, Python, GitHub, Google Workspace

Implemented and analyzed various machine learning algorithms applied to Fashion-MNIST image dataset, consisting of 70,000 images of various items of clothing. Employed several scikit-learn classifiers including K-nearest neighbors, logistic regression, feed-forward neural networks, and decision trees on dataset to optimize accuracy of results. Wrote final project report detailing process with classifiers, experiment setup and results, and insights.

Skills: Machine Learning, Python, Data Analysis, Experimental Design, Experimental Analysis

Used Python, pandas, and Matplotlib to create project that - given a .csv file containing viewing history of a Netflix account - uses past viewing data to conduct analysis and chart graphs based on viewing frequency, viewing duration, where and when viewing occurred, most watched content, and more.

Skills: Data Analysis, Pandas, Statistics, Matplotlib, Python, Seaborn, NumPy, Data Visualization

Developed a Checkers AI agent using Python which could solve a Checkers game and win over 50% of games against an Average AI model. The agent could read percepts and act rationally based on the opposing player's moves. Implemented Monte Carlo tree search.

Skills: Python, Artificial Intelligence

Implemented and designed a customized web search engine and crawler that handled 50,000+ documents under operational constraints with a query response time under 100ms. Incorporated partial indexing and used a Porter stemmer to improve textual matches. The scraper parsed web responses and extracted critical information for a detailed report. Improved ranking accuracy by 75% for a subset of UCI web domain pages through tf-idf scoring and cosine similarity alongside weighted HTML tags. Used sim-hashing to detect and eliminate near-duplicate pages. Built and incorporated a tokenizer that processes text and can output word frequencies of a page and shared word frequencies between two pages.

Skills: Beautiful Soup, Search Engine Optimization, Web Scraping, Python, HTML

Designed fully-functioning Columns match-three puzzle video game with grid-field of cells and cooled jewels that fall, freeze, match, rotate, shift, and disappear throughout gameplay. PyGame implemented to build playable version of game.

Skills: Pygame, Python

Created air quality analysis program that takes location input and Air Quality Index threshold and connects to PurpleAir web API for air quality monitoring sensor data to determine variable number of nearby locations with poorest air quality. Nominatim API, forward geocoding, and reverse geocoding methods used to calculate nearest locations.

Skills: Data Analysis, API, Python, Geocoding

Capstone group project involving a complete engineering research and design process. Investigated and researched solar ultraviolet radiation issues relating to driving. Documented and analyzed prior solution attempts and patents on the market for automobile sun visors that block sun radiation. Brainstormed potential design concepts and generated sketches and 3D-models, concluded by printing and constructing a physical prototype of a car visor. Presented to Civil Engineering and Architecture class.

Skills: Engineering Research, Market Research, Prototyping, Product Design, 3D Modeling

Prior to entering college, I was a student at Ruben S. Ayala High, part of their Academy of Engineering and Computer Sciences for four years. Co-founded the Ayala VEX Robotics Club and Ayala Information & Computer Science Club. For the former, I was treasurer for three years, managing the club's budget, scheduling fundraisers and purchasing necessary robotics parts and equipment. I was also the primary programmer (C++) for my individual robotics team for four years.