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@globalcuber
B.Tech student specializing in Mathematics and Computing with strong programming skills.
As a B.Tech student at Dhirubhai Ambani University, I have developed a solid foundation in Mathematics and Computing, achieving a CPI of 7.36. My academic journey has been complemented by hands-on projects that showcase my technical skills and problem-solving abilities. I thrive in environments that challenge my analytical thinking and creativity.
My projects, such as the Freelancer Mediator and Chess Game Simulator, highlight my proficiency in SQL and C++. I have designed complex relational schemas and implemented object-oriented programming principles to create robust applications. Additionally, my experience with time series analysis using Python has equipped me with the skills to analyze and interpret data effectively.
I am passionate about competitive programming and have participated in various coding competitions, achieving notable rankings. I am eager to apply my skills in a dynamic work environment where I can contribute to innovative projects and continue to grow professionally.
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Work history, roles, and key accomplishments
Chess Game Simulator
Architected a pure OOP C++ chess engine by defining an abstract Piece base class and concrete subclasses, each encapsulating its own isValidMove() and attacksSquare() behavior via polymorphism. Managed board state with a 2D vector, leveraging RAII for memory safety; implemented a deep-copy constructor plus clone() method to simulate moves on a temporary board and enforce the “king-in-check” rule be
Freelancer Mediator
Designed and implemented a normalized relational schema in PostgreSQL for entities such as users, projects, proposals, contracts, payments, and reviews, following relational modeling principles and normalization techniques. Formulated analytical SQL queries to compute freelancer ratings, skill-based project recommendations, bid success rates, and earnings-based leaderboards using relational operat
Time Series Analysis
Used daily web-traffic data for the Google Maps Wikipedia page from the Kaggle Web Traffic Time Series Forecasting dataset. Identified seasonality, trend and outliers; tested stationarity with the Augmented Dickey–Fuller test, applied first-order differencing and seasonal differencing to eliminate weekly seasonality and stabilize the series.
Degrees, certifications, and relevant coursework
B.Tech, Mathematics And Computing
2022 -
Grade: 7.36 CPI
Currently pursuing a Bachelor of Technology degree with a focus on Mathematics and Computing. The curriculum includes core subjects in computer science and mathematics.
12th Grade, General Studies
2020 - 2022
Grade: 73.38%
Completed 12th grade education with a focus on the Gujarat Higher Secondary Education Board (GHSEB) curriculum. Achieved a percentage of 73.38%.
10th Grade, General Studies
2019 - 2020
Grade: 83.83%
Completed 10th grade education under the Gujarat Secondary Education Board (GSEB) curriculum. Achieved a percentage of 83.83%.
Software and tools used professionally
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