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Rohit Swami
Bengaluru, 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.
314.8
CodersRank Rank
Top 3%
Top 100
Jupyter Notebook
Developer
India
Highest experience points: 0 points,
0 activities in the last year
Jupyter Notebook
66.4
exp.
HTML
57.7
exp.
JavaScript
50.9
exp.
CSS
45.1
exp.
Python
44.7
exp.
JSON
22.2
exp.
SCSS
15.1
exp.
Less
3.5
exp.
List your work history, including any contracts or internships
Ignite Solutions | CTO | UX Design | Product Development for Startups Full-time
Feb 2021 - May 2021 (3 months)
Software Development Engineer
InterviewBit Internship
Aug 2019 - May 2020 (9 months)
Software Development Engineer Intern
upGrad.com
Jun 2019 - Jul 2019 (1 month)
Data Science Intern
Add some compelling projects here to demonstrate your experience
Indian Paper Currency Prediction
May 2020 - Jun 2020
• Collected the images from search engines and trained a Convolutional Neural Network (CNN) model to predict the 7 types of Indian paper currency i.e. 10, 20, 50, 100, 200, 500, 2000.
• Deployed the machine learning model on Heroku with Flask back-end and secured the app with CSRF protection.
• Demo - https://indian-currency-prediction.herokuapp.com/
• Deployed the machine learning model on Heroku with Flask back-end and secured the app with CSRF protection.
• Demo - https://indian-currency-prediction.herokuapp.com/
Customer Churn Prediction (PySpark) - Data Scientist Nanodegree Program
Jun 2019 - Present
• Used PySpark to analyze the data of a fictional music app Sparkify to identify the factor affecting the customers who are most likely to churn.
• Trained machine learning model on IBM Cloud with the accuracy of 83.87%
• Blog: https://medium.com/@rowhitswami/customer-churn-prediction-of-a-music-app-using-pyspark-d65b8f5be047
• Trained machine learning model on IBM Cloud with the accuracy of 83.87%
• Blog: https://medium.com/@rowhitswami/customer-churn-prediction-of-a-music-app-using-pyspark-d65b8f5be047
Disaster Response Pipeline - Data Scientist Nanodegree Program
Mar 2019 - Apr 2019
• Analyzed disaster data from Figure Eight to build a model for an API that classifies disaster messages.
• Implemented NLP pipeline using TF-IDF Transformer to categorize the events with AdaBoostClassifier with the accuracy of 94.71% and deployed the solution as a Flask web app.
• Implemented NLP pipeline using TF-IDF Transformer to categorize the events with AdaBoostClassifier with the accuracy of 94.71% and deployed the solution as a Flask web app.
This section lets you add any degrees or diplomas you have earned.
Lovely Professional University
Bachelor of Technology (B.Tech.), Computer Science & Engineering
Jan 2016 - Jan 2020
Udacity
Data Scientist Nanodegree Program, Data Science
Jan 2018 - Jan 2019
BSJD Convent School, Fatehabad, Haryana
12th, PCM
Jan 2011 - Jan 2016
Python for Data Science
Sep 2018
Data Analysis with Python (DA0101EN)
Apr 2018
Hackathon 2.0 | Chandigarh DC
Sep 2017