Rifat Monzur
I am a graduate data science student who loves to solve challenging problems. Though I primarily worked as an iOS developer, I am interested to switch to data science and machine learning fields. I also have keen interest on product designing and user experience.
Graduate Data Science Student
Colchester, UK (Student Visa)
[email protected]
Cell: +4407394482507
Education
M. S. in Data Science (Predicted: Distinction)
From October 2022 to October 2023
B. S. in Computer Science and Engineering
From January 2012 to December 2016
Projects
EDA of Dallas, Texas Policing Data - Analysed Policing data By Time, Gender and Race
- Used time series plot to show crime by time of day, week and month
- Used map to show crime by area, type, gender and race
- Also utilise Bar plot, Density plot, Histogram and smoothing to visualize pattern and trend on data
- Utilised flexible dashboard to show interactive plot
- Analysed using R, Rstudio
Life Expectancy Analysis - Analysed Historic data, find best linear regression model and predict life expectancy
- Forward and Backward stepwise regression used to find best model
- Pairwise Regression and AIC used to make model simpler
- Developed using R, Rstudio
Offensive Tweet Detection - trained TimeLMs large language model (LLM) to detect if tweet is offensive or not
- TimeLMs is pretrained on 154 millions tweets
- Finetuned TimeLMs with OLID dataset
- Got state of art f1 macro 0.84
- Developed using Python, PyTorch, Hugging Face, Google Colab
- Trained against deterministic agent Nega
- Used Deep Q learning to address Q learning short comings
- Developed using Python, Gym, Kaggle Environment
Skills
Programming Language
Python, R, Matlab, Swift, Objective-C, C++, SQL
Framework
Scikit-learn, Keras, PyTorch, Hugging Face, Firebase, Parse, Twilio
Tools
R-studio, Pycharm, Jupyter Notebook, Google Colab, Slack, Jira, Trello, Git, Zeplin, Github, Testflight
Work Experience
On break due to burn-out and covid (May 2021 - Aug 2022)
Tiger IT Bangladesh Limited, Software Engineer, Nov 2019 ~ April 2021
Kickback Inc, iOS Developer, Jan 2019 ~ Nov 2019
- Individually developed and released iOS app of PhoneLine, a virtual phone number calling and texting app
- PhoneLine downloaded and used by more than 150K users
- Implemented modular architecture for maintainable and reusable code
- PhoneLine ranked inside top 50 in Utilities category
- Developing a in app purchase and auto renewal subscription management sdk
- Apps developed using Swift, Objective-C, Callkit, StoreKit, Twilio, Alamofire, IGListKit, One Signal, REST, Firebase Analytics, Crashlytics, Amplitude
Tapstar Interactive Software Limited, Software Engineer, Nov 2016 ~ Nov 2018
- Single handedly developed and maintained 8 apps including Selfie Editor, Giggly, and Add Music to Video
- Those apps used and downloaded by 3M users and got more than 25K five star ratings
- Simultaneously manage multiple projects and meet many strict deadlines
- Selfie Editor, a professional photo editing tool, ranked inside top 60 in Photo & Video category
- Add Music to Video, a video editing app, also ranked inside 150 in Photo & Video category
- Helped team to recruit and grow from two members to six members
- Apps developed using Objective-C, Swift, Firebase, Parse, Core Graphics, Core Image, Core Media, Core Spotlight, Google mobiles ads
Honors/Awards
- 1st position in International Contest on Programming and System Development - 2014 (Category 2: Algorithm and Programming) August 2014. (out of 30 teams)
- 1st position in Intra University Programming Contest June 2014 (out of 20 teams)
- 8th Position in IUT National Contest November 2014 (out of 100 teams)
Personal Project
- Video to Pic - Extract frame from video and crop, save & share. More than 60k downloads with 4.8 rating and monthly 5k users.
