Mansi Dwivedi

Projects

Skills

Experience

• Deutsche Bank - Technology Analyst Intern
  May 2022 - June 2022
  1. Built components that served the purpose of improving visibility of HR data in the already existing organization tool which included adding advanced visualization charts like sunburst and icicle charts.
  2. Researched and developed a time tracking component into the application for understanding and analyzing the performance of the software - this also included creating reports out of the data captured using python thus increasing user efficiency by 40%.
  3. Developed the admin module for the same application that included the functionality of uploading PDFs and Excels along with an option of updating them 'on the fly' and storing them in the database.
• Formi - Software Developer
  July 2022 - September 2022
  1. Created scripts for crawling through 3 of the biggest ticketing portals in India, from authentication to listing an event, which made it possible for the product to be the central management tool for all these portals, moving the company needle forward as this feature increased the conversion rate of the sales team by 45%.
  2. Set up the Cronjobs to do analytics on each event daily, this was done as every time the client requested analytics on an event, so the analytics had to be calculated in real-time and provide the results, which sometimes took a lot of time. I set up the system and process to calculate the analytics using Cronjobs, which reduced the load time by 80% for the users.
• Tamarind.ai - Software Developer
  September 2022 - December 2022
  1. Developed and automated an end to end Marathon Image Uploading and Tagging application using AWS services and frameworks like React and Express.
  2. Responsible for building modular and optimized code for APIs which then fueled faster and easy integrations.
  3. Researched and incorporated a secure and optimized payment gateway flow which was one of the most crucial part of the entire application.
  4. Created a seamless UI experience by building new React components for both the actors Admin as well as User facing web app.
  5. Link to the deployed website - https://tamarind.ai/
• Stock Insights - Software Developer
  April 2023 - June 2023

  This role offered me a unique opportunity to work on various aspects of software development, data management, and infrastructure optimization, all within the context of financial technology.

  Secure Payment Integration: Created the infrastructure of various customer pricing model tiers and integrated Stripe with the backend models for secure payment processing, guaranteeing the safety of financial transactions within the platform.

  Database Optimization: Managing MongoDB databases, I streamlined data updates, designed efficient schemas, and created indexes for text-based searches, enhancing overall database performance.

  Automated Updates and Cron Jobs: Set up automatic data updates, scheduled using Vercel's Cron jobs, ensuring users received timely stock updates and announcements. This also included the efficient tracking of user access activity and managing the user feedback based on the results provided by the LLM.

  Feature Development and Testing: Led the feature of designing and developing a robust data pipeline architecture that could efficiently fetch, process, and deliver country-specific data to users based on their geographical location from the ideation to the implementation phase, collaborating across teams to provide high-quality, tested code. Created structured collections in MongoDB that facilitated quick and precise retrieval.

  Langchain and Vector Database: Tapped into emerging technologies like Langchain and Vector databases, broadening my tech knowledge.

• Tata Institute of Social Sciences - Research and Development Intern
  January 2022 - May 2022
  1. Formulated the research aim and objectives along with conducting a literature review by referring 10+ research papers and journals then analyzing the on ground collected data to reach the conclusion for the most accurate parameters to be considered for the Machine Learning model that would predict the fall of an elderly.
  2. Designed databases for both Autism and the Elderly using Postgre SQL and Django framework and also contributed to API integration with hardware (Raspberry Pi) leading to the final deployment.
  3. Completed the entire software development cycle that includes requirement analysis to the deployment of the website for the elderly.
  4. Finally deployed the service on Netlify, Heroku, and AWS - https://www.autobuddys.in/.