Mehrab Mashrafi

UX

AI

DATA

Loading time...

About Me

I am a dedicated and forward-thinking professional with a strong academic background and diverse experience in the field of technology and data science. With a Bachelor of Science degree in Business Information Technology and a Master's degree in Applied Statistics and Data Science, I bring a unique blend of business acumen, analytical skills, and a passion for solving complex problems.

Language Proficiency

Bengali - Native

English - C1 CEFR Level

Skills

UX

User Interviews

Usability Testing

Persona Development

Wireframing and Prototyping

Information Architecture

Task Analysis

Data Science

Data Cleaning and Preprocessing

Statistical Analysis

Machine Learning

Data Visualization

Python and R Programming

SQL and Database Management

Analytics

Survey Design

Qualitative Analysis

Quantitative Analysis

Requirement Analysis

Market Analysis

Dashboard Design

Other

Frontend Development

Report Writing

Web Research

Agile Methodology

Linux OS

Levereging AI Tools

Education

Masters in Applied Statistics and Data Science
Jahangirnagar University
2021 - 2023

Bachelor of Science in Business Information Technology
University of Greenwich
2015 - 2020

Experience

Lead Analyst & Program Manager

Full-Time

2024 - Present

Perceive Now Inc.

  • Leading analytics initiatives and managing cross-functional programs to drive business growth.
  • Coordinating teams across data science, UX, and engineering for project delivery.
  • Overseeing project timelines, resource allocation, and stakeholder communications.

Data Analyst

Full-Time

2023 - 2025

Invento Software Limited

  • Preprocessed large-scale sales data for analysis and reporting.
  • Developed prediction model pipelines to forecast business metrics.
  • Built end-to-end automated data pipelines for streamlined workflows.
  • Designed and maintained Power BI dashboards for business insights.

UX Consultant

Freelance

2023 - Present

Upwork

UX Researcher

Full-Time

2023

SHAREit Group

UX Research Intern

Full-Time

2022 - 2023

SHAREit Group

Database Specialist

Part-Time

2016 - 2020

Nexgen Electronics LTD

Projects

Mammal World - AI for Wildlife Conservation in the Indian Subcontinent

Topics Covered: Data Scraping Data Preprocessing Data Cleaning Deep Learning Computer Vision Machine Learning

The Indian subcontinent is blessed with a diverse range of mammal species, each contributing to the region's rich biodiversity. However, wildlife conservation faces significant challenges, including the need for efficient species identification, behavior understanding, and habitat preservation. Our project addresses these challenges by harnessing AI technology to aid in wildlife conservation efforts.

Real Estate Market Analysis of UAE

Topics Covered: Data Scraping Data Preprocessing Data Cleaning Data Segmentation GIS Tableau Market Analysis Data Analysis

This was a comprehensive data analysis project that involved various stages. We initiated by scraping data from the web, specifically from PropertyFinder.ae. After gathering the data, we meticulously cleaned and organized it using Python. Additionally, we conducted segmentation to enhance our analysis by categorizing the data in various ways. To further enrich our insights, we incorporated GIS (Geographic Information System) data for more in-depth analysis. Finally, we wrapped up the project by creating interactive dashboards to visualize our findings, making the data easily accessible and comprehensible for presentation purposes.

Avian Odyssey: A Revolution in Bird Classification with AI

Topics Covered: Data Collection Data Preprocessing Image Augmentation Transfer Learning Computer Vision Machine Learning

In an era where artificial intelligence (AI) has revolutionized numerous domains, we find ourselves presented with a unique opportunity. What if we could harness the power of AI to enhance our ability to classify and identify birds within this rich tapestry of avian life?

To answer that, we collected images of bird species from the web, encompassing all 42 orders within the Aves class. After preprocessing the data, we trained a model using ResNet101 transfer learning.

Story Genre Classification with Hugging Face Transformers and Fastai

Topics Covered: Data Scraping Data Preprocessing Data Cleaning Deep Learning NLP (Natural Language Processing) Machine Learning Transfer Learning Language Model

How much do you know about fan made stories? Did you know about the immense world of fan community where non-professional and semi-professional writers alike showcase their writing ability. Well, I found out about it and thought, why not utilize these data to make a NLP classification model that can learn pattern from fan made stories.

This project showcases the implementation of multi-label text classification using Hugging Face Transformers and Fastai. It involves training a deep learning model to predict multiple genre labels for text descriptions. Key features include web scraping with Selenium Webdriver, data extraction from Royal Road (a fan-made stories website), utilization of pre-trained transformer models, Fastai's text processing capabilities, performance analysis metrics like F1 score and ROC AUC, and detailed code explanations.

Research

Mental Health Study Among Bengali-speaking Bangladeshi Individuals

View Proposal

I am conducting research to analyze the mental health status, factors influencing it, and the accessibility of mental health services among Bengali-speaking Bangladeshi individuals. This project is motivated by my volunteer experience in the mental health sector, underscoring the need for comprehensive data. Stay tuned for updates as we work to enhance mental health awareness and support in Bangladesh.

Volunteer Experience

Mental Health Volunteer
Dear Camelia
2021-2023

At Dear Camelia, I served as a mental health volunteer on a virtual platform dedicated to providing support to those in need. As first responders, our team was committed to helping individuals seeking assistance and guidance during challenging times.

In addition to our direct support role, we actively contributed to raising awareness about mental health issues. This involved writing informative articles and creating engaging social media posters to promote mental well-being and offer valuable resources to the community.

For any queries or validation, them as described on https://dearcamelia.com/contact-us-en/