Anup Joseph
Mumbai, India
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.

CodersRank Rank
Top 1%
Top 10
Jupyter Notebook
Jupyter Notebook
Highest experience points: 0 points,

0 activities in the last year

List your work history, including any contracts or internships
WRI India
Oct 2020 - Mar 2021 (5 months)
Data Analytics Intern
Working on extracting information and data preparation of electricity consumption of Tamil Nadu from various publicly available sources and using it for further steps to the analysis pipeline
python pandas data visualization numpy parallel processing tableau
Sep 2020 - Oct 2020 (1 month)
Junior ML Engineer
Worked on training, improving and optmizing the model architecture for predicting economic and social development data using the 2011 Indian Census data
python deep learning tensorflow pandas data visualization
Jun 2020 - Jun 2020 (Less than a month)
Artificial Intelligence Intern
Created a pipeline for adding the user background information into the recommendation system to improve its effectiveness.
Received a letter of appreciation for my efforts in building the recommendation system
knowledge graphs igraph python javascript
Add some compelling projects here to demonstrate your experience
Automated Land use classification Using AI/ML
Develop a deep-learning based software for automatically classifying land-use from multi-temporal multi-spectral high-resolution satellite imagery. The developed model should be scalable/efficient to allow rapid mapping of incoming datasets and must incorporate a web-based viewer for visualizing input as well as classified output. The viewer interface must also allow the user to visualize changes that have occurred within a given timeframe.
Using Probabilistic Tag Modeling to Improve Recommendations
Apr 2020 - Jun 2020
User behaviour on a website is extremely valuable information which helps to identify the similarities among users and help to target a subset of users in a better informed and more informed ways.
In this project we modelled the information in form of a knowledge graph with
Nodes -> search term in the websites
Edges -> clicks and purchases on a product after the search
After creating such a structure we applied walktrap community detection over the graph to cluster the similar search terms together. The pagerank algorithm was applied over every sub-cluster to find out the central tag in the every sub-cluster. Various algorithms were then applied to provide recommendations. For further information please see this file
Automated Traffic Control System
Due to the fast-paced nature of the modern world, cities have been getting more congested every year thus adding to the strain on city infrastructure like roads.
To solve this problem of traffic we are trying to build a Multi-Agent Reinforcement Learning (MARL) system for managing dynamic, complicated traffic. The main advantage of the MARL system is that it can walk the fine line between global optimizing the traffic flow and ensuring that traffic is not being choked at any intersection

This section lets you add any degrees or diplomas you have earned.
Fr Conceicao Rodrigues College of Engineering Band Stand Bandra (West) Mumbai 400 050
Bachelor of Engineering - BE, Computer Science
Dec 2016 - Dec 2020
The Advanced Web Developer Bootcamp
May 2020
Improving Deep Neural Networks
May 2020
Academy Accreditation - Unified Data Analytics Essentials
Sep 2020

Jobs for you

Show all jobs