About Me
I'm a Data Scientist based in Baku, Azerbaijan, currently working at NovaLingua where I build Python data pipelines and Tableau dashboards to track learner engagement across 30K+ user records. My work sits at the intersection of data analytics and machine learning — turning messy data into clear business insights.
Previously at Lavanda MMC, I built classification and regression models with Scikit-Learn and contributed to a RAG-based Q&A tool using LangChain that helped reduce consultant research time. My path into data science started during a UNDP-backed internship at the Khazar Women Resource Center, where I discovered the power of data-driven decision making.
I'm passionate about applying AI to real-world problems — from detecting corrosion in industrial pipelines to predicting faults in power transmission lines. My research on agricultural AI and cold-start problems has been accepted at SRC2026 for presentation at IEEE.
Projects
CaspianShield
AI-Powered Corrosion Detection for Industrial Pipelines
- ▸Built a CNN-based pipeline to detect and classify industrial pipeline corrosion from image data
- ▸Implemented severity-based scoring to help prioritise maintenance and reduce safety hazards
- ▸Applied data augmentation techniques to improve model performance across varying conditions
ECAI
AI-Powered Fault Prediction System for Power Transmission Lines
- ▸Built an IoT-to-AI pipeline using Arduino sensors to capture real-time voltage, current, and temperature data
- ▸Developed LSTM and XGBoost models to classify normal vs fault conditions and predict failures
- ▸Designed a real-time monitoring dashboard that alerts operators to anomalies before blackouts occur
- ▸Engineered the full data flow from sensor collection through model inference to dashboard visualisation
RAG-based Q&A Tool
Intelligent Research Assistant — Lavanda MMC
- ▸Contributed to a RAG-based Q&A tool using LangChain for document retrieval and question answering
- ▸Helped reduce consultant research time by surfacing relevant information from large document collections
Research
Addressing the Cold-Start Problem in Agricultural AI: A Synthetic Data–Driven Decision Support System for Smallholder Farming
Hamida Jafarova, Fatima Alakbarli
Experience
Data Analyst
@ NovaLingua- ▸ Built Python pipelines to clean, transform, and analyse 30K+ user learning records
- ▸ Created Tableau dashboards tracking learner retention, engagement, and conversion metrics
- ▸ Performed analysis on subscription data, helping identify patterns that improved retention by 20%
- ▸ Wrote SQL queries and reporting workflows for content performance across 4 product modules
Data Scientist
@ Lavanda MMC- ▸ Conducted exploratory data analysis across multiple business datasets to surface actionable trends
- ▸ Built classification and regression models using Scikit-Learn, iterating on feature engineering and tuning
- ▸ Contributed to a RAG-based Q&A tool using LangChain, helping reduce consultant research time
- ▸ Prepared data-driven reports and visualisations to support stakeholder decision-making
Business Data Analyst Intern
@ Khazar Women Resource Center (UNDP)- ▸ Managed digital documentation workflows, ensuring data integrity across UNDP-backed programs
- ▸ Built project tracking spreadsheets to monitor timelines, budgets, and deliverables
- ▸ Prepared weekly status reports, improving cross-team visibility on project progress
- ▸ Analysed project execution phases to identify bottlenecks and improve planning efficiency
Skills
Programming
ML / AI
Data & Analytics
Visualization
Engineering
Cloud & Big Data
Education
Bachelor of Science in Computer Science
ADA University
Baku, Azerbaijan
Get In Touch
Have a question or want to work together? Feel free to reach out.