Hi, I'm DHARMIK!
By nature, I’m someone who genuinely loves helping others. I find immense joy in going out of my way to support people, whether it’s offering solutions, sharing ideas, or just lending a listening ear. Conversations fuel my curiosity. I love talking to people, understanding their perspectives, and learning about their unique journeys.
Interestingly, my analytical mindset often turns these interactions into a fun challenge. I unconsciously build a model in my mind about people, piecing together patterns from what I know about them. It’s like solving a real-world data problem, where I predict their preferences or thoughts and then test my hypothesis by asking the right questions.
Beyond data and logic, I immerse myself in hobbies that bring joy and balance to my life. I enjoy playing football (American soccer), working out, organizing spaces, it’s my way of finding order and creativity in the everyday. I also love sketching, which allows me to express myself artistically and unwind. Experiencing new adventures excites me, whether it’s trying a new activity or discovering something unfamiliar.
And, of course, there’s my love for sneakers, a passion that merges style, culture, and a bit of self-expression. After all, can one ever have enough sneakers?
University: University of California, Irvine
Expected Graduation: Sept 2024 - Current
GPA: 3.76/4.0
At the University of California, Irvine, I am pursuing my Master’s in Data Science. This program immerses me in advanced data science techniques, including machine learning, big data analytics, and statistical modeling, enabling me to refine my analytical skills. I am also exploring applications of data science in healthcare, an area that aligns with my passion for impactful technological innovation.
University: Vellore Institute of Technology, Vellore
Graduation Year: 2020 - 2024
GPA: 3.88/4.0
I earned my B.Tech in Computer Science and Engineering at Vellore Institute of Technology (VIT), India. My academic journey here was marked by engagement with core subjects like data structures, database management, and natural language processing. As an active member of ACM-VIT, I contributed to several projects, notably one focused on the automatic segregation of wet and dry waste using computer vision. This practical application of classroom learning fueled my interest in real-world technological solutions and prepared me for advanced studies.
WiseSplit: A user-friendly platform designed to simplify the process of splitting invoices and bills among friends. It uses AI to extract data from uploaded invoice images, and then intelligently divides the cost among participants. Features include adding friends, assigning products, calculating individual shares, and making group payments effortless.
An interactive Tableau dashboard analyzing sneaker sales trends, pricing, and market insights. Features include brand performance comparison, regional sales distribution, price margins, and demand forecasting. A comprehensive visualization project to explore the dynamics of the sneaker market and showcase advanced data analytics.
Implemented a model to detect and prevent malware using XG Boost. Compared and contrast it with few Machine Learning and Deep Learning models to detect malware in files. Rectified overfitting in XG-Boost using hyperparameter tuning via GridSearchCV. Our custom XGBoost classifier achieved an accuracy of 99.456%.
Developed an interactive U.S. States quiz game using Python's turtle and pandas. The player guesses U.S. states, and correct answers are plotted on a map. Utilized CSV data to track states and their coordinates for visualization.
Developed a password manager application using Python's tkinter for GUI, with features to generate, save, and retrieve passwords securely. Implemented JSON data storage for user credentials, including functionality to generate random passwords and show saved credentials for specific websites.
Built a Pomodoro timer application using Python's tkinter for a simple and interactive user interface. Implemented functionality for work sessions, short breaks, and long breaks, with visual progress tracking via checkmarks. The countdown mechanism is handled using the after method for timed events.
Developed a flashcard app for language learning using Python's tkinter for the user interface and pandas for data management. The app displays Spanish words in card format with their English translation on the backside. Additional features include marking the known words and tracking progress by saving them in a CSV file.
Developed a classic snake game leveraging Python's OOP principles, modular programming, and the turtle graphics library. Incorporated real-time event handling with onkey, implemented collision detection for gameplay mechanics, and utilized custom classes for snake behavior, food spawning, and score management.
Created an engaging turtle race game using Python's turtle graphics and event-driven programming. Utilized the random module to simulate dynamic turtle movements and incorporated user interaction to predict the race winner. Demonstrates modular design and real-time position tracking for an exciting gameplay experience.
Designed a dynamic turtle crossing game using Python's turtle graphics library. Implemented modular programming with custom classes for player movement, car generation, and scoring. Integrated collision detection and difficulty scaling to enhance gameplay.
Eager to connect? I'm all ears! Whether you're intrigued by my work, have a brilliant idea to share, or simply want to chat about the latest in tech, don't hesitate to drop me a line. I look forward to hearing from you and discovering the possibilities that lie ahead!