Computer Science Software Development

NEHA KHANAM PATHAN

+1-224-***-**** Chicago, IL

************@*****.*** linkedin GitHub

OBJECTIVE

As a highly motivated and detail-oriented Software Development Engineer with hands-on experience in JavaScript, NodeJS, and Agile methodologies, I am eager to contribute my strong analytical skills and innovative mindset. Seeking to leverage my academic background in Computer Science and Software Development experience to solve complex problems and support the development of cutting-edge software solutions. EXPERIENCE

Mathematics and Computer Science Tutor (Learning Assistance Center) Oct 2023 - present Chicago State University Chicago, IL

• Collaborate with faculty members in the mathematics and computer science departments to facilitate classroom instruction and activities, ensuring alignment with curriculum objectives and student learning outcomes.

• Deliver personalized one-on-one and group tutoring sessions, guiding students in comprehending and mastering mathematical and computer science principles, methodologies, and problem-solving techniques. Assistant System Engineer Jan 2023 - Jul 2023

Tata Consultancy Services (TCS) Pune, India

• Spearheaded the development of an internal AWS-based banking web application tailored for BMO employees, facilitating the tracking of loan applications. This initiative resulted in a substantial $6 million increase in revenue for TCS.

• Demonstrated proficiency in Node.js and JavaScript, leveraging AWS Lambda for enhanced efficiency. Actively participated in the testing process using Mocha/Chai and made significant contributions to feature design within a collaborative team.

• Efficiently managed the complex data migration process from a Tibco-based system to AWS, employing various AWS services to ensure a seamless transition and data integrity. Software Developer Sept 2021 - Nov 2022

Roots Innovation Labs Pvt Ltd (GiBots) Pune, India

• Accomplished a 20% increase in processing speed through the implementation of an innovative Rule Engine design for the Juta and Company(Pty) Ltd Book and Periodical Publishing Claremont Project.

• Proficient in issue analysis and debugging, leading to a remarkable 25% reduction in errors and a substantial 30% accuracy improvement for PDF-to-Word conversion.

• Achieved a 40% reduction in system downtime and a 20% faster data retrieval rate by effectively leveraging JavaScript and MongoDB.

• Pioneered the development of a Robotic Process Automation (RPA) solution for the Ideas To Impacts Annotation Project, resulting in an impressive 40% decrease in manual annotation time.

• Demonstrated expertise in seamlessly integrating applications through REST APIs for Microsoft-365 and One Drive, simplifying user acce ss to files and folders. Additionally, streamlined file and folder permissions, reducing access setup time by 30%.

• Significantly improved workflow efficiency within the annotation tool, label studio, contributing to a notable 15% enhancement and a commendable 10% reduction in annotation errors EDUCATION

Master of Computer Science

Chicago State University (Chicago, IL, USA) Aug 2023 - May 2025 GPA: 4.0

Bachelor of Engineering in Electronics and Telecommunication Aug 2016 - June 2020 Dr. Babasaheb Ambedkar Marathwada University (Aurangabad, India) CERTIFICATIONS

Cloud Digital Leader Google Certification

Certification Issued Mar 2024 · Expires Mar 2027 Credential ID 68167 M121 : The MongoDB Aggregation Framework

MongoDB University Issued Nov 2022

M001: MongoDB Basics

MongoDB University Issued Sep 2022

SKILLS

Languages Java, JavaScript, TypeScript, Object-Oriented Programming (OOP) Cloud AWS : ( EC2, S3, lambda ), Google Cloud Platform (GCP) Web Development HTML, CSS, JavaScript, Angular.js Node.js Databases & tools SQL, MySQL, NoSQL(MongoDB)

Strengths Problem Solving, Data Structures, team collaboration Tools GitLab CI/CD, GitHub, Jenkins, MongoDB compass, NoSQL booster, Microsoft SQL Server, VS-code, Eclipse

PROJECTS

Predicting S&P 500 Index Prices Using Machine Learning Developed a machine learning model to predict the S&P 500 index prices using historical data. Utilized yfinance for data acquisition and pandas for data cleaning and preparation. Trained a Random Forest model and used backtesting for evaluation. Improved model accuracy by adding relevant predictors. Suggested further steps for enhancing the model.

Smart Kitchen Monitoring System

Developed a Smart Kitchen Monitoring System leveraging Internet of Things (IoT) technology to enhance kitchen safety and efficiency. The system continuously monitors room temperature, smoke emissions, and unauthorized child access using various sensors integrated with an Arduino UNO microcontroller. Real-time data is transmitted to a mobile application via Bluetooth, providing users with immediate alerts through visual and auditory signals.

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