{"id":25189970,"url":"https://github.com/zadanfai/zadanfai.github.io","last_synced_at":"2026-01-19T14:31:57.672Z","repository":{"id":271578124,"uuid":"913895216","full_name":"zadanfai/zadanfai.github.io","owner":"zadanfai","description":"Portfolio","archived":false,"fork":false,"pushed_at":"2025-08-20T16:15:57.000Z","size":1719,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-09-15T17:48:18.926Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"https://zadanfai.github.io/","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/zadanfai.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-01-08T15:00:55.000Z","updated_at":"2025-08-20T16:16:00.000Z","dependencies_parsed_at":null,"dependency_job_id":"108d888e-1a85-4988-9439-deb9ce6c3f90","html_url":"https://github.com/zadanfai/zadanfai.github.io","commit_stats":null,"previous_names":["zadanfai/zadan-portos"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/zadanfai/zadanfai.github.io","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zadanfai%2Fzadanfai.github.io","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zadanfai%2Fzadanfai.github.io/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zadanfai%2Fzadanfai.github.io/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zadanfai%2Fzadanfai.github.io/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/zadanfai","download_url":"https://codeload.github.com/zadanfai/zadanfai.github.io/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zadanfai%2Fzadanfai.github.io/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28571778,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-19T12:50:50.164Z","status":"ssl_error","status_checked_at":"2026-01-19T12:50:42.704Z","response_time":67,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2025-02-09T21:18:27.495Z","updated_at":"2026-01-19T14:31:57.659Z","avatar_url":"https://github.com/zadanfai.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003ch2 style=\"background-color:#e0f7fa; padding:08px; border-radius:8px;\"\u003e About Me\u003c/h2\u003e\n\nHello Everyone! I am Zadan Fairuz Mahitala, an Informatics student with a strong foundation in data analysis, machine learning, and web development. I am dedicated to transforming complex datasets into impactful solutions using Python, TensorFlow, and advanced machine learning techniques.  \n\nMy academic and professional journey reflects a commitment to excellence and a passion for harnessing technology to solve real-world problems. From leading multidisciplinary projects to achieving certifications in cutting-edge technologies, I am driven to create innovative solutions that make a difference.  \n\nFind my resume [here](https://drive.google.com/file/d/1jZQaveX0-NmQ--bp7Y-rX8daVzTN4hIe/view?usp=sharing)!\n\n\u003ch2 style=\"background-color:#e0f7fa; padding:08px; border-radius:8px;\"\u003e Education\u003c/h2\u003e\n\n| Degree | Institution | GPA | Relevant Coursework |\n| ------ | ----------- | --- | ------------------- |\n| B.Sc. in Informatics | Universitas Singaperbangsa Karawang | 3.90/4.00 | Data Structure \u0026 Algorithm, Statistic, Artificial Intelligence, Data Mining, Business Intelligence, Big Data Analysis, Machine Learning, Deep Learning, Digital Image Processing, Embedded Intelligent Systems |\n\n\u003ch2 style=\"background-color:#e0f7fa; padding:08px; border-radius:8px;\"\u003e My Professional Journey\u003c/h2\u003e\n\n**Machine Learning Cohort**  \n\n| *Bangkit Academy led by Google, Tokopedia, Gojek, \u0026 Traveloka (Remote, Indonesia)* | September 2024 – January 2025\n- Successfully passed the MSIB Bangkit 4636 cohort selection from over 45,000 applicants, with an acceptance rate of 10%.  \n- Completed various Coursera Machine Learning courses, including CNN, NLP, Transfer Learning, and Time Series, achieving 100% progress.  \n- Participated in all program activities with just one leave permission and earned 12 certifications within the designated timeframe.  \n- Cleaned and prepared the Resume Dataset using CV parsers to enhance data accessibility and reproducibility.  \n- Designed and trained two Neural Network models utilizing a pre-trained BERT model.  \n\n**Data Analyst Student**\n\n| *RevoU* | August 2022 – December 2024  \n- Participated in MSIB 2023 - Kampus Merdeka program by the Ministry of Education, focusing on Data Analytics and Software Engineering.  \n- *Software Engineering Courses:* Mastered advanced HTML, CSS, and JavaScript; AJAX \u0026 Restful API; animations; transitions; and full-stack integration.  \n- *Data Analytics Courses:* Specialized in understanding business problems, EDA, SQL, Python for data analytics, BigQuery, and data visualization.  \n- Enhanced professional growth through structured career development sessions.\n\n\u003ch2 style=\"background-color:#e0f7fa; padding:08px; border-radius:8px;\"\u003e Work Experience Highlights \u003c/h2\u003e\n\n- 🤝 **Cross-functional Collaborator:** Played a pivotal role in multidisciplinary teams, leveraging technical and analytical skills to bridge communication gaps between data scientists, engineers, and stakeholders for cohesive project execution.\n\n- 💡 **Balanced Decision-Maker:** Known for balancing speed and quality in decision-making, particularly during high-pressure scenarios, ensuring timely delivery of data-driven solutions without compromising accuracy.\n\n- 🌟 **User-Centric Innovator:** Spearheaded enhancements in user interfaces and functionality for machine learning models and analytics tools, resulting in a 25% increase in user engagement and streamlined workflows.\n\n- 🔍 **Data-Driven Strategist:** Conducted in-depth analyses and delivered actionable insights through compelling dashboards and reports, enabling stakeholders to make informed business decisions aligned with organizational goals.\n\n- 🧠 **Problem-Solving Pioneer:** Tackled data challenges by designing automated data pipelines and implementing optimized machine learning algorithms, reducing processing time by 40% and improving model reliability.\n\n\u003ch2 style=\"background-color:#e0f7fa; padding:08px; border-radius:8px;\"\u003e Projects \u003c/h2\u003e\n\n**FindUp: Bridging Tech Talent and Startups**  \n  \n  A capstone project developed as part of Bangkit Academy 2024. This mobile platform connects tech talents with startup founders, addressing challenges in collaboration and team dynamics.\n\n  \u003ca target=\"_blank\"\u003e\n    \u003cimg src=\"images/Findup-dashboard.png\" alt=\"Instagram\" style=\"width: auto; height: auto; margin: auto\"\u003e\n  \u003c/a\u003e\n\n  - Integrated TensorFlow, Keras, and a BERT-based model for enhanced talent matching.  \n  - Achieved 89% accuracy in resume analysis and recommendation systems using NLP techniques.\n\n_Challenge:_\nBuild a platform to connect tech talent with startup founders by automating CV analysis, scoring, and role matching, addressing inefficiencies in recruitment and enabling personalized recommendations.\n\n_Action:_\n\n- Designed a BERT-based regression model to score CVs (0–100) based on skills, certifications, degrees, and work experience, combining embeddings with dense layers for accurate predictions.\n- Implemented an automated CV parsing pipeline to convert PDFs into structured JSON data for seamless model input.\n- Built an unsupervised text similarity model to align candidates with startup roles such as Data Scientist or Product Manager.\n- Collaborated with backend engineers to integrate models into the app, ensuring real-time inference using TensorFlow.js and preprocessing with Google Cloud Functions.\n- Optimized data pipelines and trained models on scalable cloud infrastructure for reliability and performance.\n\n_Result:_\n- Reduced recruitment time by streamlining candidate prioritization and role matching, enabling startup founders to focus on top talent.\n- Enhanced the platform’s personalization features, improving user engagement and satisfaction.\n- Contributed to scaling Indonesia’s startup ecosystem by enabling AI-driven hiring solutions aligned with national digital transformation goals.\n\n_Technologies:_\n\n1. NLP Models: Pre-trained BERT, TensorFlow\n2. Data Processing: JSON structuring, tf.data API\n3. Cloud Services: Google Cloud Run, Pub/Sub, Cloud Functions, Vertex AI, JWT\n4. Mobile Stack: Retrofit, Datastore, Gson, JUnit \u0026 Espresso, Fragment, Logging, Navigation, CircleImageViewglide,Lifecycle and ViewModel\n\nDocumentation: [Github Repo](https://github.com/Timnas-Bangkit)\n\n**Real-Time Sign Language Detection**\n\n\u003ca target=\"_blank\"\u003e\n    \u003cimg src=\"images/Sign-language.png\" alt=\"sign-language\" style=\"width: auto; height: auto; margin: auto\"\u003e\n\u003c/a\u003e\n\n_Challenge:_  \nDevelop a system that utilizes digital image processing and machine learning to recognize and interpret sign language gestures in real-time, aiding individuals with hearing impairments in inclusive communication.  \n\n_Action:_  \n- Utilized **TensorFlow Object Detection API** to create a real-time sign language detection model.  \n- Collected 15 images for each of 5 sign language gestures: \"hello,\" \"yes,\" \"no,\" \"thank you,\" and \"I love you.\"  \n- Implemented a 6-step process:  \n  1. Captured real-time images using a webcam and labeled gestures.  \n  2. Converted datasets into TFRecord format for training and testing.  \n  3. Applied transfer learning with a pre-trained **SSD MobileNet V2 FPNLite** model for fine-tuning.  \n  4. Configured a model pipeline and trained it over 10,000 steps to enhance accuracy.  \n  5. Restored the model checkpoint for real-time inference.  \n  6. Developed functionality for real-time gesture detection via webcam.  \n\n_Result:_  \n- Achieved a high accuracy rate in detecting and interpreting sign language gestures.  \n- Enhanced accessibility for individuals with hearing impairments by providing a scalable and inclusive communication tool.  \n- Identified areas for future improvements, such as adapting to variations in sign language and improving model accuracy, to further support accessibility in technology.  \n\n**Customer Cancellation Analysis for Resort Hotels**  \n  \n  Provided actionable insights to reduce cancellation rates and optimize revenue strategies for hotels.\n\n_Challenge:_ Analyze and reduce hotel booking cancellation rates from 13–29% to 10% within a year while addressing revenue decline caused by customer cancellations.\n\n_Action:_ \n- Data Cleaning: Processed raw datasets by handling null values, correcting data types, addressing outliers, and removing logical errors using Python.\n- Exploratory Data Analysis (EDA): Performed linear regression and data analysis with Python and Google Sheets to understand trends and patterns.\n- Visualization: Built insightful dashboards using Looker Studio to highlight trends in booking cancellations, ADR (average daily rate), and system performance.\n- Root Cause Identification: Conducted an issue tree analysis to pinpoint factors contributing to cancellations, such as system delays, deposit policies, and lack of service updates.\n- Recommendations \u0026 Policies: Suggested key improvements, including deposit requirements, improved system response times, and better customer communication.\n\n_Result:_\n- Identified high cancellation rates for bookings without deposits (49.29% for Resort Hotels and 49.14% for City Hotels in 2017).\n- Proposed implementing deposit policies to lower cancellation rates.\n- Provided strategies to optimize revenue by reducing lead times, increasing staff, and upgrading systems to improve service quality.\n- Highlighted actionable insights for improving ADR competitiveness and minimizing cancellation impact.\n\n_Additional Insights \u0026 Recommendations:_\n- City Hotels can attract more customers by lowering prices by at least 9.4% and enhancing service quality.\n- Resort Hotels should focus on promoting leisure travel to capitalize on their lower cancellation rates.\n- Sending booking reminders and offering rescheduling options can reduce cancellations and enhance customer retention.\n\nGoogle Colab Link: [Data Cleaning](https://colab.research.google.com/drive/1DD26w6VQpkK8pldMgbO3-JZbH2Yj2yzB?usp=sharing#scrollTo=eVPXcXPGA_c_)\n\n\n\u003ch2 style=\"background-color:#e0f7fa; padding:08px; border-radius:8px;\"\u003e Skills \u0026 Certificates \u003c/h2\u003e\n\n**Technical Skills**: Python, TensorFlow, SQL, Google Data Studio, NLP, Computer Vision, Data Analysis, Full-Stack Web Development.  \n**Soft Skills**: Problem-solving, quick learning, attention to detail, team leadership.\n\n**Certificates I Gain**: [here](https://drive.google.com/drive/folders/1BmpXp1669jzlLzwVwxZaSL4ECG_Qrldg?usp=sharing)\n\n\u003ch2 style=\"background-color:#e0f7fa; padding:8px; border-radius:8px; text-align:center;\"\u003e 🔗 Connect with me \u003c/h2\u003e\n\n\u003cdiv style=\"text-align:center;\"\u003e\n  \u003ca href=\"https://www.linkedin.com/in/zadanfai\" target=\"_blank\"\u003e\n    \u003cimg src=\"images/linkedin.png\" alt=\"LinkedIn\" style=\"width: 30px; height: 30px; margin-right: 10px;\"\u003e\n  \u003c/a\u003e\n  \u003ca href=\"https://github.com/zadanfai\" target=\"_blank\"\u003e\n    \u003cimg src=\"images/Github.png\" alt=\"GitHub\" style=\"width: 30px; height: 30px; margin-right: 10px;\"\u003e\n  \u003c/a\u003e\n  \u003ca href=\"mailto:zadanfaidelta@gmail.com\"\u003e\n    \u003cimg src=\"images/email.jpg\" alt=\"Email\" style=\"width: 30px; height: 30px; margin-right: 10px;\"\u003e\n  \u003c/a\u003e\n  \u003ca href=\"https://www.instagram.com/zdnfairuz_\" target=\"_blank\"\u003e\n    \u003cimg src=\"images/Instagram_icon.png\" alt=\"Instagram\" style=\"width: 30px; height: 30px; margin-right: 10px;\"\u003e\n  \u003c/a\u003e\n\u003c/div\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzadanfai%2Fzadanfai.github.io","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fzadanfai%2Fzadanfai.github.io","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzadanfai%2Fzadanfai.github.io/lists"}