Falaknaaz Khan
Data Analyst
Oxford
Summary
Data Analyst and MSc Data Science and AI graduate with 3+ years across data engineering and analytics roles, building data pipelines, automation, and internal tools in Python and SQL. Shipped a production data-quality platform (Flask, MySQL, async automation, Docker/CI-CD) and cut pipeline execution time by 50% by rewriting legacy code at CMIE. Strongest where data engineering meets analysis, building the systems that keep data clean, current, and usable.
Overview
4
4
years of professional experience
4
4
Languages
Work History
Junior Data Analyst
Group GTI
Oxford
08.2025 - Current
- Built and maintain a production CRM data-cleaning and organisation-matching web app (Python, Flask, pandas, rapidfuzz) that cut a recurring manual process from 2-3 days per week to under 10 minutes per batch, using a 4-phase hierarchical matching pipeline (domain → group → name → fuzzy match).
- Integrated GPT-4o (OpenAI API) for automated job-title and industry-sector classification, chunking and parallelising requests via ThreadPoolExecutor for 10x throughput over sequential calls.
- Designed, built, and maintain a production Python job-aggregation and data-quality platform managing UK & Ireland graduate job listings in a MySQL database, powering internal review and cleaning workflows.
- Developed a Flask admin dashboard with role-based access control (superadmin/admin/user), secure authentication (hashed passwords, login-attempt lockout, password policy), soft-delete with archive/restore, bulk cleanup by organisation/sector/title, and full audit logging with IP tracking; built on SQLAlchemy and deployed via Docker and GitLab CI/CD.
- Deployed both applications with Docker (multi-stage builds, Docker Swarm, Traefik) and GitLab CI/CD, using secrets management and read-only containers for a secure, zero-storage runtime.
- Engineered an asynchronous link checker (asyncio / aiohttp) validating job-application URLs at 100 concurrent requests in batches of 5,000, automatically archiving dead links and reporting throughput.
- Replaced a manual, cross-team deletion handoff with a self-service web tool, cutting turnaround from 5 days to under 1 and freeing data and sales teams from repetitive work.
- Own business-as-usual support for TargetConnect as the team's go-to for tickets and queries, resolving issues across the advanced-reporting data feed and escalating out-of-scope items appropriately.
- Built reporting dashboards in Looker and maintained the underlying data feeds; developed and maintained ETL processes and wrote code on Amazon SageMaker and against Amazon Redshift.
Freelance Data Analyst and Web Scraping Specialist
Upwork and more
Oxford
05.2025 - 07.2025
- Delivered custom web scraping solutions using Python (Selenium, BeautifulSoup) to extract and structure large datasets from dynamic and static websites.
- Built offline-readable blog archives with clean formatting in Markdown/CSV, preserving headers, body content, and post structure.
- Completed a structured data extraction project from fragmented online sources, organizing outputs into precise CSV schemas, ensuring compatibility with client systems.
- Transformed messy public datasets into machine-readable formats using ETL pipelines, aligned with project-specific rules for normalization and integrity.
- Maintained excellent client feedback by emphasizing clarity, speed, and clean code, with a focus on documentation and result reproducibility.
- Managed multiple projects independently, highlighting time management and self-motivation.
- Key Projects:
- Blog Scraper: Extracted all blog posts and structured them into markdown files for offline reading.
- Council Tax and Housing Data Parser: Scraped, cleaned, and normalized complex municipal datasets into SQL/CSV format.
- Structured CSV Delivery for Market Intelligence: Delivered highly formatted CSV datasets from a JavaScript-heavy portal using browser automation.
Software Developer
Centre for Monitoring Indian Economy
Mumbai
07.2022 - 08.2024
- Automated end-to-end data extraction, transformation and loading (ETL) processes using Python, Selenium, Perl, Shell scripting, and Linux.
- Designed and optimized advanced web scraping and text recognition scripts, significantly improving data retrieval efficiency.
- Streamlined database operations, ensuring seamless data cleaning, transformation, and upload to structured databases.
- Enhanced system performance by debugging and optimizing legacy scripts, reducing execution time and improving reliability.
- Applied data analysis techniques to validate and refine extracted datasets, contributing to improved data integrity.
- Optimized processes to improve time efficiency by 50%.
- Collaborated with research team to create new processes for company's product.
Education
Master of Science - Data Science and AI
Oxford Brookes University
09.2025
Bachelor of Engineering - Electronics and Telecommunication
M.H Saboo Siddik College of Engineering
01.2022
Diploma - Electronics and Telecommunication
M.H Saboo Siddik Polytechnic
01.2019
Skills
- Python
- SQL
- Perl
- Shell
- Pandas
- NumPy
- SciPy
- Scikit-Learn
- Statsmodels
- PyTorch
- Supervised Learning
- Deep Learning
- Model Deployment
- MySQL
- Amazon Redshift
- SQLAlchemy
- Extract-Transform-Load (ETL)
- Excel
- Flask
- Streamlit
- Selenium
- BeautifulSoup
- Playwright
- Asyncio
- Aiohttp
- REST APIs
- Looker
- PowerBI
- Matplotlib
- Plotly Dash
- Seaborn
- Docker
- GitLab CI/CD
- Git
- GitHub
- Agile
Languages
Python
SQL
Perl
Shell
Activities
- Joint Secretary, IETE Club, 2019-01-01, 2022-01-01
- Member, SACE (student committee), 2019-01-01, 2022-01-01
- Class Representative and Student Committee Member, 2016-01-01, 2019-01-01
Projects
- Dissertation in AI-Driven Aggregation and Analysis of Government Financial Data, 2025-03-01, 2025-09-01, This project improved my skills in web scraping, data analysis, and visualization, while also strengthening my skills in web development, machine learning, and cloud deployment.
- Mixed Modelling App, 2025-01-01, 2025-04-01, Developed a Python-based web app (Streamlit) for statistical modeling, collaborated on UI/UX design, and managed version control with GitHub.
- Principles of Data Science, 2025-01-01, 2025-09-01, Gained proficiency in SQL for data querying, ETL processes, and database management.
- Machine Learning Assignments, 2024-09-01, 2025-09-01, Applied supervised learning techniques for predictive modeling, utilizing Pandas, NumPy, and PyTorch.
Work Preference
Job Search Status
Open to workWork Type
Full TimeLocation Preference
RemoteHybridSalary Range
£45000/yr - £200000/yrTimeline
Junior Data Analyst
Group GTI
08.2025 - Current
Freelance Data Analyst and Web Scraping Specialist
Upwork and more
05.2025 - 07.2025
Software Developer
Centre for Monitoring Indian Economy
07.2022 - 08.2024
Master of Science - Data Science and AI
Oxford Brookes University
Bachelor of Engineering - Electronics and Telecommunication
M.H Saboo Siddik College of Engineering
Diploma - Electronics and Telecommunication
M.H Saboo Siddik Polytechnic