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As a versatile software developer, I have expertise in both back-end development and data analysis. Over the course of my experience, I have honed my skills in troubleshooting and bug fixing, successfully resolving real-time client issues with efficiency and professionalism. In addition to my technical abilities, I have a keen interest in working with data, leveraging my analytical skills to derive insights and inform strategic decision-making. I am a dedicated and collaborative team player, always striving to exceed expectations and deliver exceptional results.

Professional Experience
Application Development Analyst, Accenture
  • •Automated processes, reducing support ticket resolution time to ~2 minutes.
  • •Collaborated in an Agile development team, delivering high-quality software solutions using Appian technology.
    • 08/2021 – present
  • •Managed end-to-end project development, including stakeholder engagement and production issue resolution.
    • Backend Intern, Grappus
  • •Demonstrated expertise in Node.js and MongoDB, leveraging these technologies to develop scalable and efficient solutions.
  • •Acquired experience in Java, expanding my technical toolkit and increasing my versatility as a developer.
    • 06/2021 – 08/2021
  • •Contributed to the development of high-quality software solutions, meeting or exceeding project milestones and ensuring a positive user experience.
    • Machine Learning Intern, SmartBridge Educational Services Pvt Ltd.
  • •Gained hands-on experience with machine learning models using industry-standard tools such as Jupyter Notebook and PyCharm.
  • •Successfully developed an ML model for Employee Attrition Prediction, utilizing advanced techniques such as regression analysis and decision trees
    • 05/2020 – 05/2020
  • •Designed and implemented a user-friendly web page for prediction using Flask, enabling users to easily access and interact with the model.
    • Education
    Electronics and Telecommunication, Narsee Monjee University
  • •Led a team in the development of a capstone project, showcasing practical application and innovation in electronics and telecommunication.
  • •Actively participated in NMMUN, Protsahan enhancing both leadership and teamwork skills.
    • 07/2017 – 05/2021
  • •Actively participated in the "Each One Save One", Collaborated with a passionate team to organise multiple event.
    • Projects
    Large file processor, a system which is able to handle long running processes

    To import products from a CSV file and into a database. There are half a million product details to be imported into the database.

    (Tech stack: -Jupyter Notebook, Python,MySQL)

    Edu website, Worked in an early startup to develop the Edu website.

    I have designed and developed an educational website using HTML, CSS, and JavaScript. The website features a clean and user-friendly interface, with a responsive design that ensures compatibility across various devices and screen sizes.

    Employee-Attrition-Prediction, Trained ML model to predict attrition rate

    Understanding why and when employees are most likely to leave can lead to actions to improve employee retention as well as possibly planning new hiring in advance. I will be usign a step-by-step systematic approach using a method that could be used for a variety of ML problems. This project would fall under what is commonly known as "HR Anlytics", "People Analytics".

    (Tech stack:- Jupyter Notebook, Flask, Python)

    Skills
    Python
    Java
    C++
    MySQL
    Jupyter Notebook
    HTML
    CSS
    Django
    Git
    AWS
    Appian
    Postgres
    Saas
    Certificates
    Python and DBMS (Face Prep)
    Data Science Methodology (Coursera)
    Applied Data Science Capstone (Coursera)
    Microsoft AI Classroom Series
    Data Base and SQL for Data Science (Coursera)
    Data Analysis with Python (Coursera)
    Machine Learning with Python (Coursera)