© 2024 Parisa Kalaki

01

Data Science & ML

Building predictive models and deriving insights from complex datasets.

02

Data Analysis

Expertise in EDA, data cleaning, and feature engineering.

03

Full-Stack Development

Developing robust server-side and client-side web applications.

View All Projects
ABOUT ME

Education

2025 - Present

Master of Data Science and Innovation

University of Technology Sydney (UTS), Australia

2019 - 2021

Master of IT Engineering

Shahid Beheshti University (SBU), Tehran, Iran

2015 - 2019

B.S. in Computer Science

Alzahra University, Iran

Experiences

2023 - 2024

Full-Stack Web Development

Developed and tested server-side & client-side web applications using React, Node.js, and MongoDB at Omnia, Finland.

2020 - 2022

Research Project: Anomaly Detection

Built a system to detect anomalies in OpenStack logs using RPCA, leading to a publication in a peer-reviewed journal.

introduction

A Data-Driven Problem Solver

A dedicated and organized professional with a strong passion for data science, analytics, and software development. Interested in applying problem-solving skills and technical expertise to real-world challenges.

Residence Sydney, Australia
Address Sydney, Australia
E-mail [email protected]
Phone (+61) 424 330 692
  • Programming (Python, JS, Java, C++, R) 90%
  • Data Science & Machine Learning 85%
  • Web Development (React, Node.js) 80%
  • Databases (SQL, MongoDB) 75%
  • Data Visualization (Power BI, Excel, seaborn, matplotlib, Tableau) 80%
some of my recent work

Projects

Here are some of the projects I've worked on, showcasing my skills in machine learning, data analysis, and web development. Each project includes a link to the GitHub repository.

portfolio
PCOS Detection Using ML
ML
portfolio
Marketing Campaign Prediction
ML
portfolio
Customer Personality Analysis
ML
portfolio
Sales Analysis Report
DA
portfolio
Python Information Aggregator
DA
portfolio
Shopping mall
Web Dev
Get In Touch

Contact Me

I'm passionate about data-driven decision making and innovative solutions. Feel free to reach out!

Frequently Asked Questions

I am passionate about the entire data lifecycle, from analysis and software development to applying technical skills to solve real-world challenges. I am motivated to contribute to data-driven decision-making and create innovative solutions.

I developed a supervised machine learning system to predict the likelihood of Polycystic Ovary Syndrome (PCOS) based on clinical and lifestyle data. I cleaned and transformed the dataset, selected features using point-biserial correlation and VIF, and trained multiple models including Logistic Regression and Random Forest. To handle class imbalance, I applied SMOTE, optimizing for recall to reduce false negatives. The Random Forest model performed best, and the project demonstrated how data science can support early detection and healthcare decision-making.

I am proficient in programming languages like Python, Java, C++, and SQL. My expertise includes data science libraries (NumPy, pandas, scikit-learn), data visualization tools (Power BI, Excel), and full-stack web development technologies (React, Node.js, Express.js).

Send me a message