Hi, I’m
Ali Razzaq
Data Scientist
Lahore
Summary
Professional transitioning to Data Analytics with a strong background in cybersecurity, mathematics, and statistics. Proficient in using Python and SQL for data analysis, predictive modeling, and transforming data into actionable insights. Strong analytical mindset and mathematical foundation, ready to contribute to data integrity, predictive analytics, and business strategy. Seeking data analyst or cybersecurity analyst roles with a data focus.
Meticulous Data Scientist accomplished in compiling, transforming and analyzing complex information through software. Expert in machine learning and large dataset management. Demonstrated success in identifying relationships and building solutions to business problems.
Overview
8
years of professional experience
2027
years of post-secondary education
Work History
Stealth AI StartupRemote
AI Algorithm Engineer
02.2025 - Current
Job overview
- Designed and implemented end-to-end NLP pipelines for text processing, sentiment analysis, and document classification using Python, transformers, and spaCy frameworks
- Developed automated workflow solutions using N8N to orchestrate data collection, preprocessing, and model deployment processes, reducing manual intervention by 75%
- Built conversational AI systems and chatbots using Flowise, integrating large language models with custom knowledge bases and vector databases
- Engineered natural language processing solutions including named entity recognition, text summarization, and semantic search capabilities for enterprise applications
- Implemented MLOps practices for NLP model lifecycle management, including version control, automated testing, and continuous integration pipelines
- Optimized transformer-based models for production deployment, achieving 40% reduction in inference time while maintaining model accuracy above 95%
- Created data preprocessing workflows for unstructured text data, handling multiple languages and document formats using regex, NLTK, and custom parsing algorithms
- Integrated AI models with existing systems through RESTful APIs and webhook automations, enabling real-time processing of customer queries and feedback
- Performed hyperparameter tuning and model evaluation using cross-validation techniques, improving model performance metrics by 25-30%
- Collaborated with cross-functional teams to gather requirements and translate business needs into technical NLP solutions and automated workflows
- Maintained comprehensive documentation for model architectures, data pipelines, and integration processes to ensure knowledge transfer and system maintainability
- Monitored model performance in production environments and implemented feedback loops for continuous model improvement and retraining strategies
HackerOneLahore
Web Application Security Researcher (Freelancer)
08.2017 - Current
Job overview
- Analyzed vulnerability data using Python and SQL, identifying over 500 critical web app vulnerabilities.
- Developed automated testing scripts in Python, improving vulnerability detection efficiency by 40%.
- Used tools like Burp Suite and OWASP ZAP to enhance security posture of multiple platforms.
- Collaborated with global security teams and delivered reports to share strategic security insights.
British AirwaysRemote
Data Science Intern
10.2024 - 02.2025
Job overview
- Conducted data analysis using Python and R to derive actionable insights, improving project outcomes and efficiency.
- Collaborated with cross-functional teams to develop predictive models, enhancing decision-making processes for strategic initiatives.
- Assisted in the design and implementation of data visualization dashboards using Tableau, enabling stakeholders to track key performance metrics effectively.
- Performed exploratory data analysis on large datasets, identifying trends and patterns that informed business strategies and operational improvements.
BugCrowdLahore
Security Researcher (Freelancer)
01.2018 - 08.2020
Job overview
- Leveraged Python analytics to identify 200+ unique vulnerabilities across web applications.
- Implemented automated scanning tools, reducing vulnerability assessment time by 50%.
- Built advanced Python data pipelines to detect critical security issues.
- Initiated ML-based analytics project, forecasting breaches with 85% accuracy.
Education
University of Management and Technology
Master of Science from Data Science
University Overview
Expected Sep 2026
Analytics Collective
Certificate from Data Analytics
Government College University
Bachelor of Science from Mathematics
Skills
Python
Pandas
NumPy
SQL
Tableau
Power BI
Excel
Burp Suite
Teamwork
Teamwork and collaboration
Problem-solving
Time management
Business understanding
Problem-solving abilities
Multitasking
Multitasking Abilities
Decision-making
Self motivation
Machine learning algorithms
Time series analysis
Advanced data mining
Large dataset management
Decision trees
Complex Problem-solving
Statistical analysis
Cloud computing
Interests
Chess
Badminton
Historical Movies
Cricket
Entrepreneurship
Projects And Analytics Experience
Cybersecurity Threat Landscape Data Analysis, Analyzed 10+ years of cybersecurity incident data from Kaggle (200,000+ records). Used SQL for querying and Tableau for visualization to identify attack patterns and high-risk periods. Created dashboards showing threat types, attack frequency, and industry-specific risk levels.
Accomplishments
- Collaborated with team of 11 as a Team Lead in the development of a AI Chabot for E-commerce and Education.
Timeline
AI Algorithm Engineer
Stealth AI Startup
02.2025 - Current
Data Science Intern
British Airways
10.2024 - 02.2025
Security Researcher (Freelancer)
BugCrowd
01.2018 - 08.2020
Web Application Security Researcher (Freelancer)
HackerOne
08.2017 - Current
Analytics Collective
Certificate from Data Analytics
06.2024
Government College University
Bachelor of Science from Mathematics
06.2017
University of Management and Technology
Master of Science from Data Science
09.2026