Portfolio

Khalisha Putri

Hello, I'm Khalisha! Here's a look at my portfolios highlighting AI, data, and software development capabilities.


artificial intelligence

apprenticeship PROJECT
(MARCH 2024)

Mental Health Companion Chatbot: Diagnose, Support, and Guide
(microsoft azure ai)


Integrated an Azure health chatbot service to a website interface, aiming to diagnose, support, and guide users mental health issues.

Skills and Technologies

Azure AI Service: Health Bot, Streamlit deployment Service, Python programming language, HTML, CSS

Publication / Undergraduate thesis
(AUG 2023 - MARCH 2024)

A Panoptic Segmentation for Indoor Enviroments using MaskDINO: An Experiment on the Impact of Contrast


Collected, preprocessed, labeled, and annotated dataset aimed for panoptic segmentation task.Conducted model training, validation, testing, and hyperparameter tuning using open-source MaskDINO architecture.Analyzed the effect of image contrast to the quality of the panoptic segmentation result.Applied contrast augmentation and optimize hyperparameter tuning for performance improvement.

Result

Increased panoptic quality, with final quality of 47.7%

Skills and Technologies

Python programming language, data labeling and annotation, MaskDINO architecture, ResNet50 architecture, deep learning, computer vision, Pytorch framework

apprenticeship project
(march - may 2023)

Safety Construction YOLO-Resnet Integrated System
(startup campus)


Developed a safety gear detection system for construction workers, balanced dataset diversity, compared performance across deep-learning architectures, optimized model accuracy.

Result and Achievement

Peak accuracy of 95%
Top 3 Finalist in the Startup Campus Artificial Intelligence Track Batch 4 Showcase, 2023

Skills and Technologies

Python programming language, YOLOv5 architecture, ResNet50 architecture, deep learning, computer vision, model deployment, Streamlit deployment service, Pytorch framework

research Project
(Feb - Jul 2022)

DRIver condition monitoring system
(gadjah mada university)


Developed a system to detect and monitor driver’s drowsiness condition.

Result

Accuracy for up to 78%

Skills and Technologies

Python programming languange, OpenCV library, Dlib library, Computer Vision, imutils library

Organization & Competition
(Feb 2021 - Jul 2022)

Gadjah Mada Robotic Team: Humanoid Soccer Robot
(gadjah mada university)


Enhanced field object detection (ball, field line, goalpost); and created algorithm and program for ball passing strategy between robots.

Achievement

Best Strategy and 3rd place in Dribbling Category in National KRI sub-contest KRSBI-H 2021

Skills and Technologies

C++ programming language, ROS (Robot Operating System) framework, Computer Vision, OpenCV library, Algorithm, Teamwork, Communication, Leadership

internship Projects
(Jul 2024 - April 2025)

data analyst
(pt emos global digital)


Developed a dynamic Tableau dashboard to monitor the features of the EMOS marketplace application for internal use.Provided reports on salesperson performance (sales, visits, partnerships) to the distribution development management to evaluate and enhance productivity.Analyzed insights on service level and purchase order fulfilment to the General Manager of Commercial to evaluate and improve service qualities.Provided insights on customer's surveys to General Manager of Commercial to identify key areas to improve.

Skills and Technologies

Python programming language, Pandas data analysis library, Matplotlib and Seaborn visualization tools, SKLearn framework, machine learning modeling

individual Project
(June 2024)

Indonesia Climate EDA, Visualization, and Prediction


Conducted exploratory data analysis, visualization, insight extraction, and machine learning modeling on Indonesia climate data from 2010-2020.

Result

Machine learning model using XGBoost classifier with accuracy of 61%.

Skills and Technologies

Python programming language, Pandas data analysis library, Matplotlib and Seaborn visualization tools, SKLearn framework, machine learning modeling

apprenticeship Project
(march 2023)

Employee's termination eda analysis and modeling
(startup campus)


Conducted data analysis, data visualization, and machine learning modelling to identify key features and classify employee termination.

Result

Using K-Nearest Neighbor Algorithm, resulting an accuracy of 58%.

Skills and Technologies

Python Programming Language, Pandas data analysis library, Matplotlib and Seaborn visualization tools, Machine Learning modeling

software development

apprenticeship Project

Ticketing Website Application
(metrodata academy)


Developed a ticketing website to provide information regarding a particular event, the guest stars, the schedule, the tickets category, and ticket ordering form.

Result

Skills and Technologies

MySQL and PHPMyAdmin database management system, Java and Javascript programming language, HTML and CSS language, Springboot and Bootstrap Framework, RESTful API, Postman Plaform