Available for Data / Cloud roles

Hi, I'm Parsa
Kamali.

I build data-driven applications and cloud data pipelines. My focus is Data Engineering, AWS, Databricks, SQL, Python, and modern portfolio-ready projects.

Parsa Kamali

Data Engineer
Cloud Engineer

AWS • Databricks • Python • SQL • PHP • Bootstrap

About Me

I am a Data Science graduate building a strong profile for Data Engineer and Cloud Engineer roles. I combine software development experience with data, cloud, and analytical thinking.

Data Engineering

ETL pipelines, SQL modeling, data lakes, batch and streaming concepts.

AWS Cloud

S3, Glue, Athena, Redshift, IAM, VPC, Lambda, and cloud architecture basics.

Development

PHP, HTML, CSS, Bootstrap, JavaScript, jQuery, AJAX, and clean UI structure.

Analytics

Python, machine learning basics, dashboards, classification, and evaluation.

Experience

Replace these examples with your own academic, part-time, project, or professional experience.

2026 — Present

Cloud Data Engineering Preparation

Building hands-on AWS and Databricks projects focused on data ingestion, transformation, storage, analytics, and deployment-ready architecture.

2024 — 2026

Master's Projects in Data Science

Worked on machine learning, graph-based modeling, text data analysis, and censorship-related Telegram dataset research.

Previous

Web Development Background

Developed dynamic pages using PHP, Bootstrap, HTML, CSS, JavaScript, jQuery, AJAX, and MySQL.

Projects

Add your strongest projects here. For job applications, each project should show business value, technologies used, and measurable output.

Eye Tracking

Exploring age-related and temporal patterns in eye-tracking fixation data using statistical modelling.

Eye Tracking Statistics Fixation Data TU Dortmund

World Value Survey

Analyzing political trust, cultural values, country differences, and time trends using World Values Survey data.

WVS Political Trust Ordinal Regression Time Series

Gravitational Wave SBI

Estimating binary black hole source parameters from simulated gravitational waveforms using PyCBC, BayesFlow, and Flow Matching.

SBI BayesFlow PyCBC Flow Matching

Telegram Censorship GNN

Predicting Telegram message deletion using graph neural networks, behavioral features, temporal patterns, and reply-chain structure.

GNN GATv2 Telegram Censorship

BOSCH Predictive Maintenance

Detecting anomalies in wire-cutting torque time-series data using DTW, FastDTW, and VAE-LSTM models.

Time Series Anomaly Detection VAE-LSTM DTW

Survival Analysis

Analyzing censored survival times of ice cream machines using Cox models, Nelson-Aalen estimation, and time-dependent covariates.

Survival Analysis Cox Model Counting Processes R

Exploratory:Statistics Meets Linguistics

Analyzing adjective usage in political media coverage using Politico 28 data, linguistic tags, decision trees, and statistical testing.

NLP Linguistics Decision Tree Python

Exploratory:Anglicism Survey Analysis

Analyzing the frequency and motivations of Anglicism usage among university students using survey data, statistical testing, and interpretable models.

Survey Analysis Linguistics Decision Tree Python

Exploratory:Demographic Data Analysis

Analyzing global life expectancy and under-5 mortality rates across countries, regions, sexes, and time periods using descriptive statistics.

Descriptive Statistics Demography Python Visualization

Exploratory:Birth Weight Smoking Analysis

Comparing baby birth weights across maternal smoking-status groups using descriptive statistics, global testing, Bonferroni correction, and Tukey HSD.

ANOVA Tukey HSD Bonferroni Python

Exploratory:Seoul Bike Regression

Modeling Seoul bike-sharing demand with linear regression, AIC-based variable selection, residual diagnostics, and VIF analysis.

Regression AIC VIF R

Skills

A clean skills grid helps recruiters quickly understand your technical profile.

Python
SQL
AWS
Databricks
PHP
Bootstrap
JavaScript
Git

Contact

Want to discuss a role, project, or collaboration? Send me a message.