Aman Naredi

Aman Naredi

Web Development Intern

Followers of Aman Naredi3000 followers
location of Aman NarediUnited Kingdom

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  • Timeline

  • About me

    Machine Learning Enthusiast | Big Data Science Master's Student | Python Developer | Open to Machine Learning Internships, Projects & Collaboration

  • Education

    • St Pauls Higher secondary school Indore

      2018 - 2019
      High School PCM 81.4

      Activities and Societies: Served as sessions sports head

    • Queen Mary University of London

      2023 - 2024
      Master of Science - MS Big Data Science
    • Institute of Engineering & Technology DAVV, Indore

      2019 - 2023
      Bachelor of Technology - BTech Mechanical Engineering 8.64
  • Experience

    • Synetal Solutions Private Limited

      Jun 2021 - Jul 2021
      Web Development Intern

      Spearheaded the development of a Google Forms clone project, demonstrating proficiency in a wide range of CRUD (Create, Read, Update, Delete) operations.Designed and implemented features that mirrored the functionality of Google Forms, allowing users to create, manage, and submit forms seamlessly.Underwent comprehensive training in React.js, a prominent JavaScript library for building dynamic and interactive user interfaces.

    • Capabl (from Elite Techno Groups)

      Jul 2021 - Jul 2021
      Summer Internship

      Learned how to manage data using JSONUsed various Libraries for data analytics

    • Amazon

      Jul 2022 - Jul 2022
      Amazon Machine Learning Summer School

      Participated in Amazon's Ml Summer School 2022 program where I learnt about a wide range of machine learning applications, from simple linear regression models to more complex neural networks.Was able to explore the newest advancements in ML, DL and AI under the guidance of some of the best minds in the field, and gained an in-depth understanding of machine learning models and algorithms through intensive hands-on training.

    • Deepiotics Pvt. Ltd.

      Aug 2022 - Nov 2022
      Machine Learning Intern

      Mentored and guided aspiring individuals in machine learning techniques by delivering informative presentations on diverse machine learning projects.Collaborated with clients to formulate data-driven strategies and use-cases, leveraging provided data to derive valuable insights and recommendations.Worked on state-of-the-art Natural Language Processing (NLP) model designed for teachers to automate the marking of student answers in online examinations

    • GenieTalk Private Limited

      Oct 2022 - Jan 2023
      Junior Artificial Intelligence Engineer

      Developed and deployed an AI-powered virtual assistant, automating employer verification processes incall centers. This solution utilized Twilio for call management, streamlining operations and reducing costsassociated with manual verification.Enhanced verification accuracy by over 80% by implementing a Natural Language Processing (NLP) pipeline incorporating regular expressions, Speech-to-Text (STT), and nearest entity algorithms. This resulted in more intelligent and contextually accurate responses from the virtual assistant.Identified and addressed a bottleneck in employer verification: Inconsistent data and a high rate of calls not reaching company reception desks were leading to inefficiencies. I designed and integrated a covert web scraping script utilizing a cost-effective API. This script retrieved accurate employer contact information, significantly reducing wasted calls and boosting verification success rates from 9% to over more than 90%.Through its exceptional performance, the web scraping script became a valuable service offered byGenietalk.ai to other clients, contributing directly to the company's revenue stream. Show less

    • Beyond Key

      Jan 2023 - Jul 2023
      Software Developer

      Designed and implemented Python applications to solve business problems, including a data analytics tool that reduced processing time by 30%. Utilized Pandas and NumPy to build efficient data processing pipelines, handling datasets of up to 10 million records and improving data analysis speed by 25%.Created and integrated RESTful APIs to connect frontend interfaces with backend services, enhancing the functionality and user experience of web applications.Actively used Git for version control, participating in code reviews and sprints within an Agile environment, which facilitated continuous integration and delivery. Show less

    • Smallcap.ai

      May 2024 - now
      Artificial Intelligence Engineer
  • Licenses & Certifications