Who Am I?

About Me

Hi there! I'm Manali Shah, a recent Master of Science in Computer Science graduate from Syracuse University. My work bridges the gap between problem-solving and innovation, with a strong focus on delivering impactful software solutions that drive real-world results.

With a solid background in backend development, web technologies, and data analytics, I’m all about building with passion and purpose. Whether I’m crafting high-efficiency APIs, enhancing web applications, or decoding complex datasets, I approach every project with precision, creativity, and a focus on real-world performance and business value. I believe in challenging myself, constantly refining my skills on platforms like LeetCode and taking risks when it matters. Working on AI-driven projects has sharpened my technical expertise, allowing me to push boundaries and elevate my craft. I don’t just code - I strategize, plan, and deliver solutions that move the needle.

As a leader by action and a collaborator by nature, I value teamwork as much as innovation. At Wipro, I worked cross-functionally to deliver high-impact solutions that kept end users in focus. My biggest strength? Blending big-picture thinking with meticulous execution, to ensure success in fast-paced environments.

Beyond tech, I embrace creativity and balance. When I'm not coding, I express myself through painting, stay active with sports, and dive into a good book - activities that give me fresh perspectives and keep me grounded. Performance with Purpose, Vision with Execution - this is my guiding principle. Thank you for visiting my portfolio, and I look forward to connecting and sharing my passion for Software Development and Data Science with the world!

Academics

Education

Syracuse University (2022-2024)

  • Coursework: Data Science, Artificial Intelligence, Social Media Data Mining, Design & Analysis of Algorithms, Operating Systems, Object Oriented Design, Operating Systems, Computer Architecture, Cryptography, Structured Programming and Formal Methods, Database Management Systems
  • GPA: 3.6/4.0
  • Cuse Engagament Ambassador

Government College of Engineering, Aurangabad (2015-2019)

  • Coursework: Data Structures & Algorithms, Operating Systems, Object Oriented Programming, Operating Systems, Computer Networks, Software Engineering & Testing, Programming in Java, Theory of Computation, Computer Algorithms
  • GPA: 3.4/4.0
  • Training & Placement Coordinator
  • Technical Coordinator

Deogiri Junior Science College (2013-2015)

Professional

Work Experience

Software Engineer at Wipro Technologies 2019-2022

At Wipro, I was instrumental in designing and developing REST APIs using Java and Spring Boot to create a web portal for National Grid. This project streamlined separate platforms for CRIS and CSS, enhancing the user experience for over 1 million customers. Additionally, I implemented a high-performance database procedure, significantly improving system efficiency and network load. I contributed in developing the Unified Web Portal, resulting in an 80% boost in data retrieval accuracy and saving $500K in revenue. For my contributions, I was honored with the Star Performer Award.

Technical

Skills

With a solid background in software development, I have gained expertise in diverse programming languages and frameworks. My enthusiasm for coding fuels my commitment to continuous learning and embracing new technologies.

Java

85%

C#

80%

Python

80%

JavaScript

70%

HTML

80%

CSS

75%

SQL

85%

Spring Boot

85%

Git

80%

GCP

70%

AWS

75%

Docker

70%

JSON

80%

XML

80%

Mulesoft

80%

Data Analysis

75%

Communication Skills

90%
Recent Work

Projects

Lithub: Bookstore Management System

Developed a Bookstore Application that efficiently manages over 1,000 book listings, purchases, and sales. Using RESTful APIs and the Spring MVC framework, streamlined over 50,000 monthly transactions by implementing robust back-end services for seamless book transactions.

SlytherAI

Developed an AI agent for the classic Snake game using heuristic search and Q-learning techniques. Enhanced the agent's performance through reinforcement learning, resulting in a 40% increase in average gameplay score, showcasing effective AI strategies in a dynamic environment.

Flight Experience Prediction System

Applied classification algorithms on a dataset of 120,000 entries to predict customer satisfaction for airlines. Identified key factors influencing satisfaction, enabling strategic decision-making within the airline industry.

Sentiment Analysis of COVID-19 Tweets

Conducted a sentiment and emotion analysis of a large dataset of COVID-19-related tweets using LDA topic modeling and DistilRoBERTa, achieving an 87% classification accuracy. Identified key emotional categories such as happiness, neutrality, sorrow, and fear, providing insights into public sentiments during the pandemic. Utilized visualization tools like word clouds and heat maps to reveal trends, aiding in the development of evidence-based interventions and support strategies.

Movie Review Application

Developed a movie review application utilizing MongoDB for the database, Java with Spring Boot for the backend, and React for the frontend. Achieved a 30% reduction in codebase complexity by implementing a clear separation of concerns between client and server code, demonstrating proficiency in full-stack development and ensuring seamless integration and functionality across technologies.

Get in Touch

Contact

manalishah24@gmail.com

Syracuse, NY, 13210

+1 (315)766-4185