Sheikh Mufrad Hossain
Uttara, Dhaka, Bangladesh
sheikh.mufrad.hossain@gmail.com
+8801918411315

Data scientist with expertise in AI and business analytics, driving impactful strategies through advanced data analysis.

Education


Daffodil International University
January 2019
 — 
January 2023
BSc. in Computer Science and Engineering (3.76)

Experience


Lead AI/ML
January 2025
 — 
Present
FringeCore
  • Developed a pedestrian tracking system, enabling data-driven insights for OOH advertising.
  • Built an Al-powered chatbot for an ERP solution, streamlining business oversight for retail operations teams.
Data Scientist
September 2023
 — 
December 2024
City Group (AD-IQ)
  • Spearheaded NLP system development, simplifying data access for non-technical teams.
  • Implemented Al facial recognition to enhance security.
  • Created dynamic dashboards for data-driven decision-making.
  • Developed pricing models, optimizing discounts to boost sales.
  • Automated operational processes, increasing efficiency.
  • Contributed to a news chatbot for real-time conversational interaction.
Data Analyst Intern
June 2023
 — 
September 2023
City Group (AD-IQ)
  • Executed ETL processes for business and ML projects, ensuring data quality.
  • Delivered insights via advanced analytics, supporting strategic decisions.
  • Created visual reports, transforming raw data into actionable business intelligence.
  • Collaborated with cross-functional teams to streamline project workflows and meet data needs.
Product Management Intern
February 2023
 — 
May 2023
Bondstein Technologies Limited
  • Conducted product health assessments, ensuring alignment with user needs and business goals.
  • Developed user documentation to reduce support tickets and improve user satisfaction.
  • Coordinated with development teams, managing sprints and ensuring timely product releases.
  • Led product quality and user testing, contributing to product refinement and enhanced user experience.
Data Annotator
June 2022
 — 
October 2022
Quantigo AI
  • Labeled datasets for machine learning models, ensuring accuracy and security.
  • Worked with cross-functional teams to improve data quality and process consistency.

Projects


Recognition of Bangla Sign Language using Machine Learning and Mediapipe (Thesis)
Present
 — 
Present

A hybrid machine learning pipeline to detect Bangla sign language in real-time.

Multilingual Semantic Search for Hadith
Present
 — 
Present

A multilingual search engine for Hadith texts, allowing users to query in different languages and retrieve relevant results.

Fine-tuned LLM for Bangla Sentiment Analysis
Present
 — 
Present

A fine-tuned language model for sentiment analysis of Bangla text, accurately classifying emotions

Image Search Using Vision Foundation Model
Present
 — 
Present

Search engine that allows users to search images using text queries, powered by a Vision Foundation Model, enabling accurate retrieval of relevant images through natural language input.

Publications


Impact Prediction of Online Education during COVID-19 using Machine Learning: A Case Study
Present
 — 
Present
Springer
Detecting Helmets Of The Bike Riders Using Deep Learning Algorithms
Present
 — 
Present
IEEE

Skills


Programming Languages:
Python, R
Database Management:
SQL
Machine Learning & AI:
Machine Learning, Deep Learning, Generative AI (LLMs, Diffusion Models)
Data Preparation & Analytics:
Data Cleaning, Data Preparation, Exploratory Data Analysis
Data Visualization:
Tableau, Power BI, Looker Studio
Soft Skills:
Product Management, Design Thinking, Effective Communication

References


Dr. S. M. Aminul Haque,

Associate Professor and Associate Head, Department of Computer Science and Engineering, Daffodil International University aminul.cse@daffodilvarsity.edu.bd, +8801847140129