Data Analyst · AI Engineer · M.Sc. AI Student

I turn messy data into clear decisions—and AI ideas into systems that actually work.

I work across the full data journey: extraction, validation, analysis, modeling, visualization, and communication—then connect the right ideas to APIs and automation when the problem calls for it.

Portrait of Mobina Babarashani
RAG
ML
API
4Decision-focused portfolio projects
18.90M.Sc. GPA out of 20
1st & 2ndNational automation awards

About

From raw data to a decision someone can use.

I am an Artificial Intelligence master's student with a background in Mechanical Engineering and hands-on experience in data analysis. I care about the full path from raw records to a trustworthy conclusion: cleaning, validation, exploratory analysis, KPI design, modeling, visualization, and clear communication.

My portfolio spans e-commerce operations analytics, a RAG-powered operations agent, customer-retention intelligence, and wind-turbine performance modeling. I build with Python, SQL, Pandas, FastAPI, n8n, Docker, and machine-learning tooling—and keep the business question visible throughout the technical work.

Data Analysis & KPI Design Applied Machine Learning RAG & LLM Workflows API & Workflow Automation

Featured projects

Systems built around real decisions.

All repositories
Campaign targeting efficiency chart for customer churn risk ranking
03

Machine Learning · Business Intelligence

Anticipate & Act

An end-to-end churn decision system that ranks customers by risk and converts model probabilities into practical retention actions instead of stopping at binary predictions.

0.8407ROC-AUC
XGBoostFinal model
scikit-learnXGBoostStreamlitPandas
View repository
Wind turbine power calculator diagram showing rotor diameter, swept area, wind speed, and power output
04

Industrial AI · Regression Analytics

Wind Turbine Performance Analytics

A SCADA-based machine-learning study that estimates expected turbine output and translates performance gaps into maintenance-oriented energy KPIs.

0.9858Best R²
75.41 kWBest MAE
Gradient BoostingSCADANumPyMatplotlib
View repository

Technical toolkit

What I use to build.

01

Analysis & Insight

Data cleaning, exploratory analysis, KPI engineering, statistical thinking, dashboarding, and translating structured data into clear business recommendations.

SQLPandasNumPyExcelPower BI
02

Machine Learning & AI

Feature engineering, regression and classification, model evaluation, RAG pipelines, embeddings, vector retrieval, and LLM API integration.

scikit-learnChromaDBMLflowRAG
03

Backend & Automation

REST API development, webhooks, workflow orchestration, bot integration, structured validation, decision logging, and containerized services.

PythonFastAPIn8nDockerPostman
04

Systems & Delivery

Linux and networking fundamentals, Git-based collaboration, relational database basics, scheduling concepts, and practical technical documentation.

LinuxGit/GitHubPostgreSQLAirflowdbt

Experience

Professional background.

Aug 2024 — Present

AI Engineer / Data Analyst

Freelance

Deliver AI and data-analysis projects using Python, SQL, and automation tools, translating business requirements into focused, practical, data-driven solutions.

Jul 2023 — Aug 2024

Technical Specialist (R&D)

Pichka Industrial Group

Worked with CRM and structured internal data, supported operational reporting and follow-up workflows, documented technical handoffs, and identified Python/API automation opportunities.

Education

Academic foundation.

2025 — Present

M.Sc. in Artificial Intelligence

University of Science and Culture, Tehran

GPA: 18.90 / 20
2019 — 2023

B.Sc. in Mechanical Engineering

Imam Khomeini International University

GPA: 16.02 / 20

Recognition

National Industrial Automation Awards

1st place in Phase 2 and 2nd place in Phase 1 at the First National Shahid Babaei Event, supported by Iran's National Elites Foundation.

Continuous learning

Strong foundations. Always expanding.

Professional working English · Recommendation available from Pichka Industrial Group

01

Linux & NetworksLPIC-1 (101–102), Linux Essentials, CompTIA Network+

02

Data & AIPandas, AI Ethics, Deep Learning, FastAPI for LLM Applications

03

Engineering PracticeGit & GitHub fundamentals, Web Development Bootcamp

Contact

Let’s build something useful.

I am interested in data-analysis and applied-AI opportunities where rigorous thinking, useful automation, and clear communication all matter.