Summary
Motivated and detail-oriented data scientist with a master's degree, skilled in data analytics, visualizations, predictive analytics, and machine learning, enthusiastic about Deep Learning, collaborative, positive attitude and always exploring and learning.
- Name: Mushrifah Hasan
- Degree: Masters
- Email: mushrifahhasan@gmail.com
- Address: Mumbai,Maharashtra,India
I have a passion for using data to drive business decisions and am always looking for new ways to optimize processes and improve performance. Currently I’m working as a data scientist where i have worked on projects in the BFSI and Telecom sectors. I am a team player and excel at working with cross-functional teams to achieve common goals. I am also constantly learning and staying up-to-date on the latest technologies and techniques in the field. I am excited to bring my skills and experience to a new opportunity and make a positive impact.
Hire Me
Technical Skills
Python
SQL
Keras
Tensorflow
Grafana
Apache Superset
Flask
Tableau
Deep Learning
Machine Learning
Pytorch
Docker
AWS
Git
MongoDB
C
C++
HTML5
CSS3
Javascript
Projects
Depression detection system
Depression Detection based on Sentiment Analysis in Social Media using Deep Learning
Stress detection of plants
A non-invasive technique used for stress detection in tomato plants using deep learning and thermal imaging.
Caption generator
Subtitulo - A deep learning based android application which takes an image as a input and provides automatic caption for the following image.
Sentiment Analysis
Web application deployed on docker to find out the sentiment of the movie review
Computer Vision Nanodegree
All projects related to udacity computer vision nanodegree: Facial Keypoint Detection, Image Captioning, Landmark Detection & Tracking (SLAM)
Data Foundations Nanodegree
All projects related to udacity data foundations nanodegree: Analyze Survey Data, Query a Digital Music Store Database, Data Visulalization Project- Tableau
Research Publications
Data-driven Depression Detection System for Textual Data on Twitter using Deep Learning
IEEE, 2022
This paper proposes to implement a system that will help identify depressive tweets along with depressive user i.e. it is a two-step depression detection process that utilizes deep learning algorithms in conjunction with additional classification for emotion recognition of tweets.
Application of Deep Learning Coupled with Thermal Imaging in Detecting Water Stress in Plants
Book: Design of Intelligent Applications using Machine Learning and Deep Learning Techniques, Chapman and Hall/CRC, 2021
This chapter discusses the thermal imaging and deep learning can be used for stress detection in tomato plants and indirectly in the field of agriculture.
Image Processing based application of Thermal Imaging for Monitoring Stress Detection in Tomato Plants
IEEE, 2019
This paper discusses about the different methods and techniques used by the researchers for stress detection in plants and an improved method is designed for the process of stress detection in plants by using a combination of both numeric values obtained in the form of temperature measures as well as the thermal images obtained that is using multimodal analysis.