Kiana Kiashemshaki

About Me

I’m a Data Analyst and Business Intelligence professional with hands-on experience transforming complex datasets into clear, actionable insights. I specialize in SQL, Python, Tableau, Power BI, and cloud analytics, with a strong foundation in data cleaning, exploratory data analysis (EDA), and KPI tracking.

Off the keyboard, you’ll probably find me crafting coffee foam art, hitting the gym, or climbing rocks.

Always open to new challenges and good coffee. Let’s connect.

Skills

Python

SQL

Bash

PowerShell

Linux

AWS

Docker

Splunk

D3.js

Tableau

Power BI

Looker

TIBCO Spotfire

Excel

Git

Resume

Experience

Data Analyst Intern

Redapple Digital Health, Inc. (Oct 2025 – Present)

Analyzed patient and provider usage data to identify engagement and retention trends across the platform.
Built clear, decision-focused visual reports to support product and growth discussions in a lean startup environment.
Structured and cleaned mobile and web data to ensure consistent metrics and reliable analysis.

Graduate Teaching Assistant

Bowling Green State University (Aug 2023 - May 2025)

Supported lectures and labs, supporting students in understanding complex concepts.
Provided tutoring, grading, and feedback to improve student performance.
Created and maintained instructional materials to enhance learning outcomes.

Data Analyst

Hamravesh (Sep 2021 - Jul 2022)

Analyzed platform usage, deployment, and operational metrics to support product reliability and infrastructure optimization decisions.
Built and maintained Tableau / Power BI dashboards tracking KPIs such as service performance, adoption, and system health.
Partnered with engineering and DevOps teams to translate logs and monitoring data into actionable insights for stakeholders.

Junior Data Analyst

Erst Host (Jul 2019 - Jul 2021)

Analyzed customer usage and server performance data across shared, VPS, and dedicated hosting services.
Developed SQL reports and Excel dashboards to monitor uptime, churn indicators, and resource utilization.
Cleaned and validated data from billing systems, logs, and support tickets to improve reporting accuracy and consistency.

Volunteer Experience

Research Assistant

University of Washington (Jul 2025 – Present)
- Designed and maintained data collection, cleaning, and analysis workflows for experimental and operational datasets.
- Performed exploratory and statistical analysis to identify patterns, anomalies, and research-relevant insights.
- Translated research questions into measurable variables and clear analytical outputs, communicating findings through reports and visualizations.
Research Assistant

Bowling Green State University (Jan 2025 – Present)
- Conducted experiments with forensic tools to collect and validate digital evidence.
- Analyzed logs, memory, and file-system artifacts to reconstruct activity timelines.
- Contributed to cybersecurity and digital forensics research papers, produced experimental design, analysis, and technical writing.
Web Application Data Analyst

The Secure Signals Project (Apr 2025 – Present)
- Analyzed system and application logs to detect patterns, anomalies, and trends.
- Built dashboards and reports to communicate insights.
- Developed Python scripts to automate data processing and visualization.

Education

Master's in Computer Science

Bowling Green State University (Aug 2023 - May 2025)

Coursework: Design and Analysis of Algorithms, Data Science Programming, Data Visualization, Research Methods

Bachelor's in Computer Engineering

Azad Tehran University (Sep 2015 - Apr 2019)

Achievements: Best Graduate Teaching Assistant (Spring 2018).

Certifications

AWS Cloud Practitioner
Python Programming

Academic Projects

Piqniq – Emergency Support for Panic Attacks (2nd Place Winner – BGSU ACM Hackathon 2025)

Skills: HTML, CSS, TypeScript, JavaScript, UX/UI Design, Google Maps API

Developed a mobile-first app to support users during panic attacks by sending live location and alerts to emergency contacts. The interface includes a soothing breathing guide and a friendly virtual assistant to help reduce anxiety while help is on the way.

Demo GitHub

Comprehensive Analysis of Factors Affecting Mathematics Learning

Skills: Python, Pandas, NumPy, Scikit-learn, Matplotlib, Statistical Analysis, Machine Learning

Conducted a study analyzing factors influencing student performance in higher education mathematics. Built machine learning models for predictive insights and clustering techniques to group similar behaviors.

Demo GitHub

Water and Soil Analysis Visualization

Skills: HTML, CSS, JavaScript, D3.js, Bootstrap, Data Visualization, Web Development

Created interactive visualizations for field data related to water and soil behavior. Supported scientific exploration with dynamic and visually appealing interfaces.

Demo GitHub

South America Country's Analysis

Skills: D3.js, Bootstrap, JavaScript, Data Analysis, Data Visualization

Developed data visualizations for datasets representing 12 South American countries. Helped in exploring and analyzing regional data through dynamic charts and maps.

Demo GitHub

Forest Fire Clustering and Analysis

Skills: Python, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Plotly, PCA, Clustering

Performed clustering analysis on the Forest Fire dataset using K-Means, Agglomerative, and DBSCAN with PCA and visualizations to evaluate patterns.

GitHub

Face Detection Web Application

Skills: Python, Flask, OpenCV, MTCNN, Web Application Development, Computer Vision

Built a web application for face detection in uploaded images using the MTCNN algorithm. Provided a clean user interface for image uploads and efficient detection results.

GitHub

Recent Research Papers

S. Joshi, K. Kiashemshaki, S. Roy. LNK Files and Jump List Artifacts on a Windows Computer: Finding the Difference across OS versions and Operation Modes IEEE Transactions on Information Forensics and Security (TIFS 2026). Coming Soon
A. Golkarieh, K. Kiashemshaki, A. Golshantafti Hybrid EEG Signal Classification Using Manual Feature Extraction and CNN for Motor Task Decoding Signal, Image and Video Processing. Coming Soon
Kiana Kiashemshaki et al. Parallel Investigation of EEG Microstate Dynamics and Resting-State fMRI Patterns for Tinnitus Classification Using Deep Learning Scientific Reports. Coming Soon
A. Golkarieh, S. Boroujeni, K. Kiashemshaki, N. Asadi Advanced U-Net Architectures with CNN Backbones for Automated Lung Cancer Detection and Segmentation in Chest CT Images BMC Pulmonary Medicine. Coming Soon
A. Golkarieh, S. Boroujeni, K. Kiashemshaki Advanced Deep Learning Techniques for Classifying Dental Conditions Using Panoramic X-Ray Images BMC Oral Health
A. Golkarieh, S. Boroujeni, K. Kiashemshaki Breakthroughs in Brain Tumor Detection: Leveraging Deep Learning and Transfer Learning for MRI-Based Classification Computer and Decision Making - An International Journal

Kiana Kiashemshaki

About Me

Skills

Resume

Experience

Data Analyst Intern

Graduate Teaching Assistant

Data Analyst

Junior Data Analyst

Volunteer Experience

Research Assistant

Research Assistant

Web Application Data Analyst

Education

Master's in Computer Science

Bachelor's in Computer Engineering

Certifications

Academic Projects

Piqniq – Emergency Support for Panic Attacks (2nd Place Winner – BGSU ACM Hackathon 2025)

Comprehensive Analysis of Factors Affecting Mathematics Learning

Water and Soil Analysis Visualization

South America Country's Analysis

Forest Fire Clustering and Analysis

Face Detection Web Application

Recent Research Papers

Honors & Awards

2nd Place – BGSU ACM Hackathon 2025

Awarded Full Tuition Waiver – Department of Computer Science, BGSU

Contact