Emil Niyazov
Data science student with 2+ years of experience in machine learning, analytics, and Python/SQL development. Building data pipelines, NLP tools, and spatial dashboards that turn complex data into actionable insights.
Who I Am
I focus on turning complex data into clear, decision-ready insights. My work spans real-estate analytics, NLP for document intelligence, and spatial dashboards. I enjoy projects that combine data engineering, visualization, and automation to create practical, measurable impact.
Work History
- Built ML & NLP tools to detect anomalies and extract insights from real-estate images and descriptions.
- Engineered automated web scraping → transformation → SQL pipelines for clean analytical datasets.
- Designed Tableau dashboards and an internal GIS app for spatial analysis and reporting.
- Researched and prepared talking points for high-level speeches and international forums.
- Helped coordinate Global Baku Forums and manage diverse stakeholders.
- Training in consulting methods, communication, and problem-solving.
- Participated in workshops on digital trends and industry-specific analysis.
Selected Work
Baku Primary Market Residential Report 2022–2025
Interactive Tableau story analyzing the primary residential market in Baku with trends, price dynamics, and key metrics for 2022–2025.
SEC 10-K Annual Reports Analyzer
Web app that parses and analyzes SEC 10-K reports to extract key financial and risk information using NLP.
Data-Driven WebGIS Application
2D/3D maps, property visualization, measurements, attribute tables, layer filtering, Excel/PDF exports, image-rich pop-ups. Login: test / test123.
Azerbaijani Carpet Dataset on Hugging Face
Curated dataset of Azerbaijani carpet images for computer vision tasks: classification and generative modeling.
Real Estate Analysis Using Spark RDD
Large-scale real-estate data analysis using Apache Spark RDDs for price modeling and feature engineering.
Hour of Code
Volunteer activity teaching programming basics as part of the Hour of Code initiative.
Factors Related with Depression
Study of adults 50+ in England. Chi-square tests and logistic regression show depression is strongly linked to general health, life satisfaction, loneliness, and internet use patterns.
Audio Characteristic Analysis of Popular Songs
Billboard Year-End Top 100 (2000–2023) analysis via Spotify features. PCA + k-means clustering revealed four song archetypes — no single "formula" for a hit.
Education & Certifications
MSc in Data Science
University of Sheffield
Sheffield, United Kingdom · Sep 2025 – Current
BS in Computer Science
ADA University
Baku, Azerbaijan · Sep 2021 – May 2025
Certifications
I International Internet Olympiad · May 2022
XI Global Baku Forum · NGIC
IBM · Professional Certificate
MIT · Executive Education
Hackathon Certificate · 2026
Technical Stack
Books I Learn From
Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow
Aurélien Géron · Practical ML patterns and workflows.
Pattern Recognition and Machine Learning
Christopher Bishop · Core theory for probabilistic ML.
Python for Data Analysis
Wes McKinney · Data wrangling with pandas.
Deep Learning
Goodfellow, Bengio & Courville · Foundational deep learning reference.
Storytelling with Data
Cole Nussbaumer Knaflic · Communicating insights clearly.