Nirdosh Gandhi
Nirdosh Gandhi
Axtria - Ingenious Insights - [Bengaluru, Karnataka]
Selected as an Analyst Intern through campus placement.
Bhaskaracharya National Institute for Space Applications and Geo-informatics (BISAG-N) - [Gandhinagar, Gujarat]
(Specialization in Artificial Intelligence)
Delhi Technological University - [New Delhi, Delhi]
Birla Vishvakarma Mahavidyalaya - [Anand, Gujarat]
C++
C
Java
JavaScript
Python
Django
Flask
MySQL
PostgreSQL
Firebase
Heroku
PythonAnywhere
R
Bootstrap
PHP
Jquery
Git
GitHub
Arduino
IFTTT
OpenCv
Scikit
Numpy
Pandas
Apache Spark
Azure
Databricks
MS Excel
Jira
Confluence
Data analysis and prediction project on Indian road accident dataset & NYC parking violations dataset. Developed using machine learning libraries, Flask, Tableau and Heroku. Achieved an accuracy of 83.3% using logistic regression and 74.6% using decision tree classifier.
Implemented a skin cancer detector using ResNet-50 model to accurately identify the presence of malignant cancer cells in images. Leveraged deep learning libraries by using TensorFlow and Keras. Demonstrated expertise in designing and training a deep learning model that achieved an impressive accuracy rate of 92.4%.
Built the News Summarizer web application using Django, MySQL & NLP. Deployed it on the Heroku cloud platform. The app fetches articles of different categories from news API and display the summaries using TF-IDF algorithm. News are fetched in 12 different languages according to users’ prefilled country preference.
Built web application to promote the business of brother using Django, Bootstrap & SQLite. Deployed it on PythonAnywhere. Used Django groups to differentiate admin & customer users & decorators to restrict access to certain views. Website has around 400 visits per month & it helped him to increase sales by 40%.
Python model made using OpenCV. Made this project for fun & learn. While facing the camera, the model hides the objects on the basis of it's HSV range. It does bitwise AND operation between pre-captured background image & real time video. LinkedIn post on it has reached near 1500 reactions.
Demonstrated cache algorithms with efficient data structures like hash maps and linked list to optimize memory management. Visualized graphics component using the C++ SFML(Simple and Fast Multimedia Library) - graphics library to illustrate the cache operations like get and put.
Executable setup to control mouse & keyboard events with human gestures using Computer Vision. Used haarcasacde classifier for face detection, cvzone’s hand tracking Module, imutils to fetch eye landmarks from dlib shape predictor.
Classified unread mails from the authorized gmail account using IMAP4 protocol. Used GridSearchCV, TfdfTransformer for feature extraction & SGDClassifier to train the model. Mails are classified into 20 different categories. Achieved 76.6% accuracy.
NodeMCU based model which control our home appliances on used with IFTTT or AdaFruit service. On giving the voice command to Google Assistant or triggering the button on Blynk application, it toggles the home appliances.
A To-do task manager which stores user data in localStorage of browser using JavaScript, jQuery and JSON. It has some basic CSS animation & also have searching-sorting bars & task manager tabs for doing specific operations.
Online Simulation of Car Parking System. It display the number of Vacant parking positions. It works with Micro servo motor, Potentiometer, Push buttons and LED 16x2. You can simulate it online using given demo link.
DeepLearning.AI • Link to Certificate
Coursera • Link to Certificate
Microsoft • Link to Certificate
Forage • Link to Certificate
Ethnus Technologies • Link to Certificate
RPISE • Link to Certificate
Code For Cause • Link to Certificate
Kaggle • Link to Certificate
Coursera • Link to Certificate
Bengaluru, India
gandhinirdosh@gmail.com
Lotus feet of H.D.H. Prabodhjivan swamiji