Deep Mehta~

class DeepMehta:
  def __init__(self): = "Deep Mehta"
      self.dob = "8 Sept, 1998"
      self.addr = {
          "city": "Mumbai",
          "country": "India",
          "post": 400067
      } =
      self.interests = ["Fiction Reading", "FPS and RPG Gaming", "Speed-Cubing"]
      self.quick_links = [Resume, GitHub, LinkedIn]
      self.profile = self.fetch_experience()

  def fetch_experience(self):
      class Freelancer:
          def __init__(self):
              self.profiles = [Freelancer, Upwork]
              self.start, self.end = "Oct 2020", None
              self.major_projects = [
                  "RaspberryPi based Face Recognition and Speech Recognition",
                  "Portraying Face Replacement in a video using DeepFaceLab 2.0",
                  "Attendance System using Face Verification",

      class Nibodh:
          def __init__(self):
              self.role = "Tech Lead"
              self.tech_stack = ["Python", "MongoDB", "HTML", "CSS", "JavaScript"]
              self.start, self.end = "July 2019", "May 2020"
              self.responsibility = [
                  "E-Commerce website for 'Artifacts' to take their painting rentals online",
                  "Deforestation Detection and Fire Detection in forests using Satellite Images"

      return [Freelancer(), Nibodh()]


What I’m good at?

My skill-set grouped as per domains, in no specific order
I'm an ever-learning person, so by the time you're reading this, I already have few more stuffs to add in this section.

Artificial Intelligence and Machine Learning

Tensorflow, Keras, Natural Language Processing, Image Processing, Scikit Learn, Deep Learning, Numpy, Pandas

Web Development and Databases

Backend: Flask, Django, PHP
Frontend: HTML, CSS, Bootstrap, JavaScript, jQuery, Ajax
Database: MongoDB, MySQL, SQLite

Soft Skills

Team Leader, Fluent Communicator, Confident Presenter and Speaker, Great Project Management Skills, Problem Sovler

Other Skills

Data Structures, Algorithms, Efficient Writing Skills, Strong Applied Mathematics
Multimedia Tools: Photoshop, Audacity, Vegas


This section showcases my technical blog -
Along with being the Founder of byteiota, I enjoy reading and writing tech blogs.

A Complete Introduction to Natural Language Processing

In this series, we introduce our readers to the basic concepts of Natural Language Processing. The series covers all the 5 stages of NLP with practical code snippets using NLTK. We further plan to add real world applications of NLP.

Face Recognition using Python, OpenCV and One-shot Learning

Face Recognition refers to identifying a face and verifying the person in a given image. Build a Face Recognition System using OpenCV and One-Shot Training.

Object Detection Model Using Tensorflow

A complete guide on how to train a custom Object Detector. The tutorial builds a Face Mask Detector using dataset from Kaggle and uses Tensorflow Object Detection API, with Tensorflow 2.