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Software Engineering Data Science

Location:
Austin, TX
Posted:
November 28, 2023

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Resume:

Chinmay Krishna

913-***-**** ad1jfn@r.postjobfree.com linkedin.com/in/chinmaykrishna

Objective: Seeking challenging Software Engineering/Data Science Internships to apply my strong programming, problem- solving, and data analysis skills for organizational impact. Education

Cockrell School of Engineering, The University of Texas at Austin 2021 - 2025 Major: Electrical & Computer Engineering – Software Engineering & Data Science Blue Valley Southwest High School (Graduated summa cum laude; Weighted GPA: 4.67/4.0) 2017 - 2021 Skills

Programming and Development Tools: Java, JUnit, Python, C, C++, React.js, Go, MongoDB, Git, Pandas, NumPy, SQL, R, MATLAB, Eclipse, VSCode, CLion, HDL, Microcontroller programming General: Agile Methodology, Problem Solving, Data Analysis, Statistics/Probability, Engineering Foreign Languages: Spanish (State Seal of Bi-Literacy) Projects

Hardware as a Service (HaaS) Web Application Fall 2023 Developed a HaaS web application where hardware resources can be requested and allocated to users. Skills: React.js, MongoDB, Heroku, Python, Agile Methodology, GitHub, REST

• Designed MongoDB data models to efficiently store users, projects, and hardware resource availability

• Built frontend web application in React.js for users to create projects and request resources

• Built REST APIs in Python for seamless communication between frontend and backend

• A team of 3 collaborated using Agile methodology (user stories, tasks) and GitHub for version management Online Auction System Spring 2023

Created a real-time auction app using JavaFX where users can bid on and list items. Skills: JavaFX, Java 8, Sockets, Multithreading, Object-Oriented Programming, Eclipse

• Designed and developed a robust server in Java 8 to facilitate smooth communication between clients

• Used socket programming for real-time interactions and multithreading for request handling

• Ensured code quality through comprehensive JUnit test case coverage Blip Compiler in C++ for mini programming language Fall 2022 Developed a C++ compiler for processing commands in the Blip programming language Skills: CLion, C++

• Implemented mathematical and logical operations, and efficient variable storage

• Employed a binary tree and recursion to calculate operations in prefix notation SIAM Applied Mathematics Mentorship @ UT Austin 2022 – 2023

• Worked on a project in machine learning to explore applied math guided by a Ph.D. mentor

• Worked on singular value decomposition in Python for the MNIST dataset Sports Analytics for NFL & NBA 2021 – Present

• Developed predictive models in Python for forecasting individual and team performance

• Analyzed data extensively, leveraging machine learning techniques and Excel for insights Covid Spread Predictions 2020

• Integrated diverse data sources to predict Covid spread by County and State Professional Experience

Mathleague.org - Largest network of local and state math competitions at the elementary, middle, and high school levels. I was offered this role based on achieving National Championship 1st place for 3 years during High School. Program Management Lead / Intern (Part-Time) Jul 2021 – Jul 2023

• Served as Master of Ceremony (MC) at Regional, State, and National Level Math competitions

• Produced instructional videos, edited problems, created solutions, and assembled tests

• Developed a variety of organizational and leadership experiences

• Lead Instructor for multiple classes to prepare students for contests such as AMC 8/10/12, AIME, and USAMO MyAnIML (myaniml.com) – Start-up building innovative solutions using computer vision to analyze the face and muzzle of cattle to predict diseases. I was involved in the design, prototype build, and test of the product/device. Software Engineering Intern May 2022– Aug 2022

Skills: Python, Go, Git, AWS SageMaker, Computer Vision, Linux, Embedded Systems

• Developed image processing scripts in Python and Go ensuring reliability and efficiency

• Created pipelines in AWS SageMaker

• Trained Convolutional Neural Networks for AI/ML models

• Leveraged Git for software version control

North South Foundation (northsouth.org) - Volunteer driven non-profit organization established in 1989 to empower every child to achieve maximum potential – providing educational and holistic activities and scholarships to needy students. Student Team Lead & Mathematics Instructor Jul 2020 – Oct 2020

• Led a group of 20 volunteers in developing and reviewing math problems to be used for training students for competitions

• Led a 4-week program to teach competition math concepts to 20+ students Community America Credit Union – Headquartered in Lenexa, KS with $4.6B in assets and 250K members Data Science Intern Apr 2020– Jun 2020

• Conducted data analysis on Financial Literacy among youth

• Developed innovative solutions to problems faced by students during Covid Advising and Mentoring Experience

FIRST Lego League Robotics – Youth Mentor Jul 2017 – Jun 2021

• Mentored middle-school students in Robotics programming & Project Research

• Volunteer for FIRST Robotics Competitions & Events Mathematics Tutor/Mentor Sep 2017 – May 2021

• Coached middle-school and high-school students for various math competitions

• Coach/Trainer for KS State MATHCOUNTS team for 2018 Nationals National Science Bowl Team Captain & Founder Oct 2016 – May 2021

• Built Science Bowl team from scratch and trained team members to achieve Top-12 placement at Nationals Honors/Awards

• USA Mathematical Olympiads - USAMO, USJMO - 3 Time Qualifier –achieved top 50 in 2019

• American Invitational Mathematics Examination (AIME) 6 Time Qualifier

• 3 Time High School Math League National Champion

• Represented USA for Math Kangaroo Intl. invitational Summer Camp at Zakopane, Poland (2019)

• 3rd place at Who Wants to be a Mathematician International competition (2020)

• Achieved Top-10 position in Harvard-MIT Math (2019)

• FTC Robotics World Championship Winning Alliance (2019) Relevant Coursework

Software Design and Implementation Lab (ECE 461L) Fall2023 Software Design and Implementation II (ECE 422C) Spring2023 Data Science Principles (ECE 461P) Fall 2023

Algorithms (ECE 360C) Fall 2023

Linear Systems and Signals (ECE 313) Spring2023

Probability and Random Processes (ECE 351K) Fall 2022 Digital Logic Design (ECE 316) Fall 2022

Intro to Embedded Systems (ECE 319K) Spring 2022

Certification on Algorithms, Princeton University (through Coursera) July 2021 Certificate, Python Basics for Data Science (IBM Online Learning) Jun 2021 Python Basics for Data Science (edX – PY0101EN) Jun 2021



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