Hiren Limbad

AI/ML Student

limbadhiren00@gmail.com

      I am a machine learning engineer with a passion for building innovative and scalable machine learning solutions. I have a strong background in data science, statistics, and programming, and I am proficient in a variety of machine learning algorithms and frameworks.

  • Python - Expert
  • Java - Intermediate
  • Machine Learning - Intermediate
  • SQL - Intermediate
  • MySQL - Intermediate
  • PHP Intermediate
  • Data Science Beginner
  • Data Analytics Beginner
  • Content Writing Intermediate
  • Blog Writing Intermediate

Work Experience

Stypix

Data engineer-Remote

July 2023 - September 2023

My job responsibility was to clean and preprocess the data using various techniques, enhancing its quality and readiness for analysis. Additionally, I had the opportunity to collaborate with a talented team of data scientists and learn from their valuable insights during my internship at Stypix. This hands-on experience not only improved my data skills but also allowed me to contribute effectively to real-world projects.

BrainyBeam

Android developer

June 2022 (15 days)

As an Android Developer, I concentrated on developing basic mobile applications while learning Android development concepts. To give a strong app experience, we created interfaces and integrated some basic functions.

Certificates

Hackathon finalist

Among 1800 participants our team are at top 181 position, although we dont secured any rank but experienced lot.

1st runner up in RK. Uni.

RK. univerisity organizes technoplanet event every year, i participated in relay coding and become an 1st runner up.

Finishing School from KCG.

I attended fininshing school program, i gain skills of english communication and employability

Hobbies

  • Reading
  • Watching videos








My Projects.

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Perception Playground

Perception Playground is your one-stop shop for learning sign language and machine learning basics! Practice with a fast, impressively accurate model offering 40+ signs to get you started. This interactive platform lets you learn at your own pace, and even upload your own sign language model for a quicker jumpstart.

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Face Emotion Detection

My mission is to create a robust machine learning model capable of detecting emotions from facial expressions. I understand the significance of emotion recognition in various applications, from human-computer interaction to mental health monitoring, and I'm excited to contribute to this important field.

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Emotion Detection

I developed a model that achieves an impressive accuracy score of 88%. I am particularly proud to mention that this project was crafted as a beginner-level undertaking, demonstrating my dedication and enthusiasm for expanding my skills in the field.

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MedAssist

I'm excited to present my medical system project, which offers users the convenience of adding, finding, and managing medicines while also generating invoices for their customers. This system user-friendly interface created with HTML, CSS, and JS.

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StaffScan Dashboard photo
StaffScan

staffscan was selected amongst the top 181 finalists to present at the hackathon grand finale. Although we did not end up as the winner, being selected for the finale demonstrates staffscan's quality and innovation. Feedback from judges was very positive, praising in particular staffscan's polished user interface and extensive functionality considering the short 24 hour hackathon duration.

Open Live Project
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ChatApp

Simple chat application built using Node.js and Socket.IO. The app allows multiple users to chat with each other on the same server. The UI is designed to be user-friendly and visually appealing. Additionally, users can change their usernames as desired.

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Image Labelling

This project aims to build prototype using computer vision and Natural Language Processing. included my own reasearch, small algorithm, and there flow of execution. inlcudes a code that works as expected.

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Let's connect

https://twitter.com/templateflip
https://www.facebook.com/templateflip
https://www.instagram.com/templateflip
https://github.com/templateflip

: Making AI applications more practical )