About me

I'm Akshil Shah, a Computer Science enthusiast currently pursuing a Master's degree at the University of Southern California. My educational background includes a Bachelor's in Computer Science and Engineering from S.R.M University in India, where I graduated with a CGPA of 9.39/10. With a strong foundation in languages such as Python, C++, and Java, I've worked extensively with frameworks like Flask and Bootstrap, along with libraries such as TensorFlow, Pandas, and Numpy. I've had the privilege of interning at Mphasis, Two Loops Technologies, Infigon Futures, and MemeXD, where I gained practical experience in application development and machine learning.

My projects have spanned diverse areas, from Covid-19 data analysis to fraud detection using quantum learning. I'm an advocate for continuous learning, as evidenced by my certifications in AWS, Oracle, Flutter, Dart, and Python's application in financial analysis. I approach every project with dedication, attention to detail, and a commitment to achieving high-quality results. My goal is to leverage my skills and experiences to contribute effectively to the field of Computer Science.

What I'm doing

  • design icon

    Data Science

    I analyze complex data to extract valuable insights and inform data-driven decisions.

  • Web development icon

    Flask development

    High-quality development of sites at the professional level with a great backend using Flask and SQL.

  • mobile app icon

    Application Development

    Professional development of applications for iOS, Android and Web using Flutter.

Daniel lewis
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Organizations

Resume

Education

  1. University of Southern California

    2023 — Present

    Masters in Computer Science
    GPA:- 4.0/4.0

  2. S.R.M Institute of Science and Technology

    2019 — 2023

    B.Tech in Computer Science and Engineering
    CGPA:- 9.39/10

  3. Rajiv Gandhi Academy, Pune

    2017 — 2019

    High School, Science, Mathematics and Computers
    Grade:- B+

  4. Bishop's Co-Ed School, Undri, Pune

    2008 — 2017

    School
    Grade:- A+

Professional Experience

  1. Mphasis

    Data Science Intern Jan 2023 — Jun 2023

    Developed a tool for visualization of reports generated by mainframe leveraging flask.
    Applied machine learning to predict delay in jobs of mainframe testing received a 96% accuracy rate.
    Generated reports using python for cobol, jcl and other programs.

  2. Two Loops Technologies Pvt. Ltd.

    Application Developer Jan 2022 — Mar 2022

    Developed and executed Figma app designs into app 'Popshare' had 100% user retention.
    Learnt about new skills and practices in backend with 100% accuracy and leveraged those skills in application.

  3. Infigon Futures

    Application Developer Jun 2021 — Oct 2021

    Managed bug fixes and new additions to app 'Infigon' and web app for backend.
    Integrated API technology to send and receive data from python backend and web app.
    Managed website that is an admin portal for Infigon application and supplemented 3 new functionalities.
    Tested app for any bugs and resolved it immediately with 100% accuracy.

My skills

  • Python Data Science
    80%
  • Python Flask Web Development
    70%
  • Application Development
    95%
  • C++
    60%
  • SQL
    85%

Projects

  • Chat App

    A chat app developed using the Flutter framework, enabling real-time messaging and communication between users through an intuitive and customizable user interface. It utilizes backend services for message storage and delivery, providing a seamless cross-platform chatting experience.

  • E-commerce App

    An e-commerce app built with Flutter framework that offers a user-friendly interface for browsing, purchasing, and managing products, while integrating secure payment gateways and order tracking functionality to enhance the online shopping experience.

  • Whatsapp Sticker App

    A software application designed to create and share custom stickers within the WhatsApp messaging platform. Users can design and upload their own sticker packs, which consist of a collection of images that convey various emotions, themes, or messages. These stickers can be sent in chats to add a fun and expressive element to conversations, enhancing the visual communication experience on the platform.

  • Personal Expense App

    A personal expense app developed using Flutter is a mobile application that helps users track and manage their financial transactions. It allows users to input income and expenses, categorize transactions, set budgets, and view visual summaries like graphs and charts. The app provides a user-friendly interface, enabling individuals to gain insights into their spending habits and make informed financial decisions.

  • Fake News Detection

    This application employs machine learning algorithms to analyze news articles for credibility. It assesses sources, language, and consistency to flag potential misinformation. Users receive reliability scores, aiding informed consumption of information in the digital age.

  • Stock Prediction Model

    This model utilizes historical data and machine learning techniques to forecast future stock prices. It considers factors like past performance, market trends, and relevant news to generate predictions. While not infallible, these models aid investors in making more informed decisions.

  • Covid-19 Data Analysis

    A COVID-19 data analysis involves examining how the pandemic affects various industries and companies. It uses data on infection rates, lockdown measures, and economic indicators to gauge impacts on stock markets. By identifying correlations, investors gain insights into which sectors are resilient or vulnerable amid the pandemic's uncertainties.

Research