ANUJA KALE

+1-857-***-**** adzno2@r.postjobfree.com linkedin.com/in/anuja-kale-350b061a7 github.com/Anuja-Kale Boston, MA EDUCATION

Northeastern University, Boston, MA

Master of Science in Information Systems (GPA - 3.5/4.0) Expected May 2024

Relevant Coursework:

Application Engineering Development, Data Management and Databases Design, Web Design and User Experience Engineering, User Experience Design and Testing

University of Mumbai, Mumbai, IN

Bachelor of Engineering in Information Technology May 2021

Relevant Coursework:

Artificial Intelligence, Big Data Analytics, Distributed Systems, Database Management Systems, Advanced Database Management Systems, Data Mining and Business Intelligence, Software Quality Control WORK EXPERIENCE

Full Stack Web Development Intern ShapeAI, Mumbai, India Jun 2021 – Aug 2021

Designed and built databases for software applications, optimizing performance, and ensuring efficient data management

Created and deployed secure database-backed web APIs, facilitating seamless communication and data exchange between applications

Developed both backend and frontend, showcasing expertise in building intuitive user interfaces using modern frameworks and technologies Data Analytics Consulting Virtual Internship KPGM, Virtual Internship Jul 2021

Analyzed data quality issues with the given datasets

Gathered information about potential customers by studying their past behavior and choosing data analysis strategies for the same

Reviewed previous task results such as target customers, top 10 items, and customer demographics TECHNICAL SKILLS

Programming Languages: SQL, Python (NumPy, TensorFlow, Matplotlib, Pandas, Keras), R, HTML, CSS, PHP, Java, JavaScript, Redux, React JS, REST APIs, Jquery, Node.js

Data Visualization: Advanced Excel, Tableau

Cloud: Heroku, AWS

Tools and Technologies: SEO, Microsoft Office Suite, Git, VS Code, Postman, MongoDB, Rest APIs, Moqups, Balsamiq, Figma, FigJam, Axure, After Effects, Sketch tool, Framer

Operating System: Windows, macOS, Linux

ACADEMIC PROJECTS

Foodlicious an online food ordering system React, Node.js, Express.js, MongoDB Jan 2023 – Apr 2023

Developed and implemented Foodlicious, an online food ordering system using React, Node.js, Express.js, and MongoDB, enabling customers to order a variety of foods directly from the website

Integrated user and admin dashboards in Foodlicious, allowing efficient management of users, products, and orders, as well as providing real-time order tracking and updates for customers

Implemented secure user authentication, common payment gateway integration with Stripe, and seamless order processing, resulting in a user- friendly and efficient online food ordering experience Simple Invest Figma Jan 2023 – Apr 2023

Designed and implemented a user-friendly UI for Simple Invest, resulting in improved user engagement and increased user satisfaction

Conducted extensive user research to identify pain points and areas of improvement, which were then addressed in the updated UI design

Created a detailed Figma design of the updated UI, which can be viewed here Intelligent Drive Assistance System Python, OpenCV Jan 2021 - May 2021

Developed a non-intrusive driver drowsiness detection system using Computer Vision, aimed at preventing accidents caused by driver fatigue and sleepiness

Conducted research and implemented various techniques, such as Haar face detection algorithm, to detect drowsiness based on facial features and image processing

Proposed solutions and presented results in a comprehensive report, highlighting the potential for further optimization and improved efficiency of the system for enhanced road safety, published paper can be viewed here Lab Component Issuing System RFID, NFC Tags, NodeMC Apr 2021 – Jun 2021

Developed an automated component dispensing system for a laboratory using IoT technology to provide users with a simple and easy component issuing system while ensuring a scientific approach to managing the hardware laboratory and optimizing staff time and energy.

Evaluated the feasibility of implementing an automated component dispensing system in a laboratory and assessed the potential benefits to streamline component issuance and improve laboratory efficiency

Implemented IoT technology to automate component dispensing systems in a laboratory, enabling centralized control of all lab components from one place, published paper can be viewed here

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