Open to opportunities

Sheikh
Khairul Momin
Mohammad Tahmid

MSc Data Science Candidate with 7+ years of professional experience. Specialising in machine learning, explainable AI, and data-driven decision making.

LinkedIn GitHub
📍 London, UK
✉ sheikh.k.m.m.tahmid@gmail.com
📞 +44 7944 496177
Sheikh Khairul Momin Mohammad Tahmid

Over 7 years of professional experience across analytics, operations, and business development. Currently pursuing MSc in Data Science at Kingston University, focused on applying ML and XAI to real-world problems.

PythonNLPBERTSHAPLIME
Technical Expertise

Skills & Technologies

A broad and deep technical toolkit across data science, AI, and software engineering.

⌨️Programming Languages
Python SQL MATLAB Java C++ C HTML R Programming
🤖Data Science & AI
Machine Learning Deep Learning NLP BERT RoBERTa SHAP LIME Time Series SARIMA TF-IDF KMeans Pandas NumPy scikit-learn
📊Data Analytics & Visualisation
Tableau Excel Jupyter Notebook Plotly Dash Dashboarding Quantitative Research
🗺️Geospatial Analysis
GeoPandas Shapely Fiona GDAL/OGR GIS GeoPackage Mapbox
🔧Version Control
Git GitHub
Professional Strengths

Core Capabilities

The professional and interpersonal strengths I bring to every role, built over 7+ years of cross-functional experience.

🎯Analytical & Strategic
◆Data-Driven Decision Making
◆Critical Thinking
◆Continuous Improvement
◆Change Management
⚙️Operational Excellence
◆Performance Optimisation
◆Process Improvement
◆KPI Tracking
◆Time Management
🤝Communication & Leadership
◆Cross-Functional Collaboration
◆Client Relationship Management
◆Mentoring & Training
◆Data Visualisation & Reporting
Portfolio

Featured Projects

Real-world applications of data science, machine learning, and explainable AI.

Fake News Detection
FEATUREDMSc Dissertation

Fake News Detection

Ongoing MSc thesis improving fake news detection using large language models and explainable AI. Fine-tuned BERT and RoBERTa achieving 92%+ accuracy on the LIAR dataset. Applied LIME and SHAP for token-level prediction transparency and interpretability.

PythonPyTorchHugging FaceBERTRoBERTaLIMESHAPNLP
92%
Model Accuracy
3
Datasets Integrated
2
XAI Techniques
View on GitHub
HMLR Boundary Extraction
ASSESSMENTGeospatial Data Project

HMLR Boundary Extraction

Land Registry assessment on geospatial data handling and boundary extraction. Processed HM Land Registry boundary datasets, converting spatial data into structured GeoPackage format with automated cleaning, projection, and export workflows for GIS compatibility.

PythonGeoPandasShapelyFionaGISGeoPackage
View on GitHub
Crime Analytics
ANALYTICSEnd-to-End Analytics Project

Montgomery County Crime Analytics

Comprehensive analysis of 280,000+ crime records spanning raw data cleaning to predictive modelling and an interactive Plotly Dash dashboard. Built TF-IDF classifiers, Random Forest models, KMeans clustering, and SARIMA forecasting pipelines.

PythonPandasScikit-learnPlotlyDashNLPSARIMA
280k+
Records Cleaned
100%
Classifier Accuracy
0.998
Prediction Accuracy
6
Clusters Identified
View on GitHub
Career

Professional Experience

Over 7 years of professional experience across analytics, operations, and business development.

1
Business Development Manager
Ideal PCO Licence, London, UK
Mar 2023 – Jan 2025
  • ◆Defined and executed business goals using data-driven strategies to meet key performance targets.
  • ◆Analysed sales and market data using Python, SQL, and Excel to identify trends, guide decisions, and improve forecasting.
  • ◆Applied data analysis techniques to track industry patterns, contributing to 15% revenue growth.
  • ◆Led offshore teams using performance metrics, which enhanced operational efficiency.
  • ◆Delivered 50+ client presentations supported by analytical insights, driving 40% more repeat business.
  • ◆Secured high-value partnerships through data-informed strategies, increasing annual revenue by 35%.
2
Senior Associate
Quantanite (formerly Taskeater), Dhaka, Bangladesh
Jul 2021 – Aug 2022
  • ◆Tracked team tasks with performance data, achieving 100% on-time delivery and 98%+ quality.
  • ◆Analysed team KPIs to identify process inefficiencies and implement data-informed improvements.
  • ◆Used performance metrics to design and deliver training, reducing new hire ramp-up time by 20%.
  • ◆Coordinated client reporting cycles (daily, weekly, monthly) with data-backed performance insights.
  • ◆Evaluated outputs to identify quality gaps and drive data-based performance improvements.
  • ◆Recognised as Best Employee of the Year for data-driven leadership and consistent operational excellence.
3
Associate
Quantanite (formerly Taskeater), Dhaka, Bangladesh
Jun 2017 – Jul 2021
  • ◆Processed and validated large fashion industry datasets (5K+ weekly) with high accuracy and timeliness.
  • ◆Collaborated with lead generation teams, analysing data trends to boost qualified leads by 15%.
  • ◆Monitored data categorisation processes and team efficiency using measurable performance metrics.
  • ◆Partnered with QA to keep error rates under 4% via data quality checks and compliance tracking.
  • ◆Applied foundational data analysis skills to improve reporting accuracy and client satisfaction.
4
Analyst
Quantanite (formerly Taskeater), Dhaka, Bangladesh
Dec 2016 – Jun 2017
  • ◆Delivered image processing expertise to enhance accuracy and reduce errors.
  • ◆Led QC operations, achieving 97% data accuracy and full client compliance.
  • ◆Solved key operational issues with data-driven improvements, boosting efficiency and speed.
Key Achievements
35%
Revenue Growth
Through data-informed partnerships
40%
Repeat Business
From analytical client presentations
20%
Training Efficiency
Reduction in ramp-up time
97%
Data Accuracy
Achieved in QC operations
🏆 Recognition: Awarded "Best Employee of the Year" 2021 by Quantanite for data-driven leadership and consistent operational excellence.
Academic Background

Education

🎓

MSc Data Science

Kingston University, London
Jan 2025 – Present

Dissertation: Enhancing Fake News Detection with Explainable AI

🎓

MBA Business Administration

Cardiff Metropolitan University
Jun 2015 – Jul 2016

Project: New Start-up Proposal

🎓

MSc Electronics & Computer Engineering

University of Birmingham
Sep 2013 – Oct 2014

Dissertation: Highlighting Important Data in Visual Analytics

🎓

BSc Computer Engineering

Abu Dhabi University
Jan 2009 – Jun 2013

Minor in Management. Certificates of Excellence for Academic Achievement.

Get In Touch

Let's Connect

I'm actively seeking opportunities in Data Science where I can apply machine learning, explainable AI, and analytical expertise to drive meaningful business impact.

✉ Get in Touch 📞 Let's Talk
📍 London, UK ✉ sheikh.k.m.m.tahmid@gmail.com 📞 +44 7944 496177
Interests: Technology · History · Business Strategy · Mobile Photography · Visual Storytelling