Mufeeda M
Student
***********@*****.***
https://linkedin.com/in/mufeedam18
https://github.com/MufeedaM18
Summary
Seeking a challenging career with a progressive organization that provides an opportunity to capitalize my technical skills and abilities in the field of information technology. Achievements
March 2021
Paper published on the topic “Crime Data Analysis, Visualization and Prediction” on IJRASET https://doi.org/10.22214/ijraset.2021.32800
Experience
JUNE 2017 - JULY 2017
iBand Technologies, Ernakulam, Kerala - Intern
Skills
● Programming
Python, C, C++, Java, MySQL, HTML
● Machine Learning
● Administration
Windows, Linux
Projects
● Data Poison Detection schemes for distributed Machine Learning
Detect Data poisons in both basic-DML and Semi-DML.
● Crime Data Analysis, Visualization and Prediction
Apply BDA, LSTM to criminal data where exploratory data analysis is conducted for visualization and trends prediction.
● Image Classification using Deep Learning
Trained a deep learning model using the Cifar10 data-set to classify 10 classes of images with high accuracy.
● Solefit Web Application (https://bit.ly/solefit)
Solefit is a web application which serves as an online solution for the health issues of common people.
2
Education
AUGUST 2019 - PRESENT
MA College of Engineering, Kothamangalam, Kerala - M Tech, Computer Science AUGUST 2015 - JUNE 2019
University College of Engineering, Thodupuzha, Kerala - B Tech, Computer Science
References
Neethu Subash
Professor, MACE Kothamangalam
************@****.**.**