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Dipesh Paul
Indore, India
Machine Learning Engineer skilled in Tensorflow, Fastai with 2-3 years of experience creating machine learning models and retraining systems and transforming data science prototypes to production-grade solutions. Consistently optimizes and improves real-time recommendation system. Consistently employs statistical methods and designs to yield real gains from model changes.
CodersRank Score
What is this?
This represents your current experience. It calculates by analyzing your connected repositories. By measuring your skills by your code, we are creating the ranking, so you can know how good are you comparing to another developers and what you have to improve to be better
Information on how to increase score and ranking details you can find in this blog post.
585.9
CodersRank Rank
Top 2%
Based on:
6 eventsTop 50
Python
Developer
India
Highest experience points: 0 points,
0 activities in the last year
CSS
88.9
exp.
Python
233.9
exp.
JavaScript
82.3
exp.
HTML
75.5
exp.
Jupyter Notebook
29.9
exp.
SCSS
14.2
exp.
Less
9.9
exp.
PHP
6.4
exp.
JSON
8.4
exp.
List your work history, including any contracts or internships
Calsoft
1 year 4 months
Machine Learning Engineer
Jul 2019 - Jun 2020 (11 months)
Intern
Jan 2019 - Jun 2019 (5 months)
Add some compelling projects here to demonstrate your experience
Generative Adversarial Networks
Dec 2019 - Apr 2020
Calsoft
Our goal is to create avatar for human faces, a person will upload his/her image and we have to create Avatar (cartoon image) for them according to their image. We have train the model using the images dataset of approximately 143,000 images of Human and Cartoon. We created the many different architecture of Neural Network, we use Deep Convolutional GANs (DCGANs), Conditional GANs (cGANs) and Discover Cross- Domain Relations with Generative Adversarial Networks (Disco GANS) to trained the model and also created some custom architecture. At the end we have successfully achieved 72% accuracy in training the model.
Ticket Analyzer
Sep 2019 - Nov 2019
Calsoft
In IT industry tickets or bug is raised by the people then these tickets is handled by someone who belongs to some Team or Field. With the help of Machine Learning we can automate this task. We used NLP and Wikipedia trained ULMfit fastai model to fine tuned in our Ticket dataset to find out which ticket belongs to which team and which person. This automation helps to figure out exact team for the ticket and saves lot of time.
Dog Breed Analysis
Jan 2019 - Feb 2019
Calsoft
We collect dataset of 120 Dog's Breed and trained a model using Transfer Learning, we used VGG16 and RESNET34 for fine tuning. We also deploy the model on Web Application created using Django. We achieved 92% accuracy on training of model.
This section lets you add any degrees or diplomas you have earned.
Acropolis Institute Of Technology And Research - AITR
BACHELOR OF ENGINEERING, Computer Science
Jun 2015 - Jul 2019
Coursera
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
Apr 2020
Coursera
Programming for Everybody (Getting Started with Python)
Feb 2018
Coursera
Machine Learning
Apr 2018