Computer Science Data Analytics

MANSI DINESH

*******@****.***.*** +1-312-***-**** Chicago, IL linkedin.com/in/mansi-dinesh GitHub SUMMARY

Computer Science professional with a strong foundation in Programming and Data Analytics. Proficient in designing and developing scalable applications using modern technologies. Skilled in problem-solving, system design, and collaborative development to deliver efficient, high- performance solutions.

EDUCATION

ILLINOIS INSTITUTE OF TECHNOLOGY Chicago, Illinois, USA Master of Science, Computer Science May 2025

Coursework: Advanced Database Organization, Mobile Development Application, Cloud Computing, Computer Networks Introduction to Information Security, Big Data Technologies, Software Management, Parallel & Distributed Systems JAIN UNIVERSITY Bangalore, India

Bachelor of Technology, Information Science & Engineering July 2022 Coursework: Software Engineering, Data Structures, Object-Oriented Programming and Design, Programming with Python, Automation Theory and Logic, Design & Analysis of Algorithms, Object-Oriented Design, Software Testing SKILLS

Programming Languages – Python, Java, C, C++, R, Dart Cloud & DevOps – AWS, GCP, Docker, Kubernetes, Kafka, CI/CD, Version Control, Cloud Computing Databases & Data Science – MySQL, MongoDB, NoSQL, Pandas, NumPy, scikit-learn, Matplotlib, Seaborn, TensorFlow, OpenAI, ML Algorithms Web & App Development – HTML, CSS, JavaScript, React, Flutter, RESTful APIs, Agile/Scrum Tools & IDEs – IntelliJ IDEA, Eclipse, VS Code, Git, GitHub, Bash, Linux, MS Office, Tableau EXPERIENCE

DXC TECHNOLOGY Bangalore, India

Associate Software Engineer June 2022 - August 2023

• Designed and developed software applications for several banking clients

• Supported Windows, and Linux assisting users with software installations, login/access issues, and video conferencing tool configurations

• Provided first and second-level support for clients by troubleshooting incidents via ServiceNow, resolving tickets related to application issues, desktop hardware, and Citrix environments

• Collaborated with cross-functional teams to lead Agile transformation practices, achieving a 20% increase in incident response efficiency

• Communicated call trends, ticket updates, and issue root causes during weekly service review meetings, helping prioritize and close aging incidents PROJECTS

Secured Authentication Process Using Morse Code & Machine Learning Chicago, Illinois, USA

• Faced with the need for secure contactless authentication, designed and implemented a custom PyQt5-based GUI that enabled user registration and login through eye blinks, eliminating the need for traditional passwords and enhancing accessibility

• Tasked with achieving accurate, real-time eye movement detection, applied the Haar Cascade algorithm to capture blink patterns, resulting in a robust authentication mechanism with improved reliability

• To encode sensitive credentials securely, developed a system that translated user input into Morse code and validated it via blink sequences introducing a novel, hands-free authentication approach. Integrated Pandas and a secure backend database to manage encoded credentials, enabling efficient, real-time authentication for users with minimal physical interaction Distributed Sorting & Performance Analysis Using Hadoop & Spark Chicago, Illinois, USA

• Built and configured a distributed Hadoop cluster on cloud VMs to execute large-scale data sorting and performance benchmarking using Hadoop MapReduce and Apache Spark

• Performed structured experiments by varying RAM and VM instances, which led to the discovery that scaling memory and computing nodes significantly reduced job execution time in distributed systems

• Set up and fine-tuned key components of the Hadoop ecosystem—including HDFS for storage, YARN for resource management, and MapReduce for computation, resulting in efficient job execution and insightful performance Battleship Game with Responsive UI Chicago, Illinois, USA

• Developed a turn-based Battleship game using Flutter and Dart with dynamic grid generation, touch-based inputs, and interactive gameplay mechanics

• Implemented real-time game logic for hit/miss detection, state updates, and turn management, ensuring a smooth and responsive user experience

• Designed a fully responsive UI adaptable to both mobile and tablet devices, maintaining a clean, modular codebase to support scalability and future feature expansion

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