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https://github.com/zadanfai/zadanfai.github.io

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https://github.com/zadanfai/zadanfai.github.io

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README

          

About Me

Hello 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.

My 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.

Find my resume [here](https://drive.google.com/file/d/1jZQaveX0-NmQ--bp7Y-rX8daVzTN4hIe/view?usp=sharing)!

Education

| Degree | Institution | GPA | Relevant Coursework |
| ------ | ----------- | --- | ------------------- |
| B.Sc. in Informatics | Universitas Singaperbangsa Karawang | 3.90/4.00 | Data Structure & Algorithm, Statistic, Artificial Intelligence, Data Mining, Business Intelligence, Big Data Analysis, Machine Learning, Deep Learning, Digital Image Processing, Embedded Intelligent Systems |

My Professional Journey

**Machine Learning Cohort**

| *Bangkit Academy led by Google, Tokopedia, Gojek, & Traveloka (Remote, Indonesia)* | September 2024 – January 2025
- Successfully passed the MSIB Bangkit 4636 cohort selection from over 45,000 applicants, with an acceptance rate of 10%.
- Completed various Coursera Machine Learning courses, including CNN, NLP, Transfer Learning, and Time Series, achieving 100% progress.
- Participated in all program activities with just one leave permission and earned 12 certifications within the designated timeframe.
- Cleaned and prepared the Resume Dataset using CV parsers to enhance data accessibility and reproducibility.
- Designed and trained two Neural Network models utilizing a pre-trained BERT model.

**Data Analyst Student**

| *RevoU* | August 2022 – December 2024
- Participated in MSIB 2023 - Kampus Merdeka program by the Ministry of Education, focusing on Data Analytics and Software Engineering.
- *Software Engineering Courses:* Mastered advanced HTML, CSS, and JavaScript; AJAX & Restful API; animations; transitions; and full-stack integration.
- *Data Analytics Courses:* Specialized in understanding business problems, EDA, SQL, Python for data analytics, BigQuery, and data visualization.
- Enhanced professional growth through structured career development sessions.

Work Experience Highlights

- 🤝 **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.

- 💡 **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.

- 🌟 **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.

- 🔍 **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.

- 🧠 **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.

Projects

**FindUp: Bridging Tech Talent and Startups**

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.


Instagram

- Integrated TensorFlow, Keras, and a BERT-based model for enhanced talent matching.
- Achieved 89% accuracy in resume analysis and recommendation systems using NLP techniques.

_Challenge:_
Build 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.

_Action:_

- 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.
- Implemented an automated CV parsing pipeline to convert PDFs into structured JSON data for seamless model input.
- Built an unsupervised text similarity model to align candidates with startup roles such as Data Scientist or Product Manager.
- Collaborated with backend engineers to integrate models into the app, ensuring real-time inference using TensorFlow.js and preprocessing with Google Cloud Functions.
- Optimized data pipelines and trained models on scalable cloud infrastructure for reliability and performance.

_Result:_
- Reduced recruitment time by streamlining candidate prioritization and role matching, enabling startup founders to focus on top talent.
- Enhanced the platform’s personalization features, improving user engagement and satisfaction.
- Contributed to scaling Indonesia’s startup ecosystem by enabling AI-driven hiring solutions aligned with national digital transformation goals.

_Technologies:_

1. NLP Models: Pre-trained BERT, TensorFlow
2. Data Processing: JSON structuring, tf.data API
3. Cloud Services: Google Cloud Run, Pub/Sub, Cloud Functions, Vertex AI, JWT
4. Mobile Stack: Retrofit, Datastore, Gson, JUnit & Espresso, Fragment, Logging, Navigation, CircleImageViewglide,Lifecycle and ViewModel

Documentation: [Github Repo](https://github.com/Timnas-Bangkit)

**Real-Time Sign Language Detection**


sign-language

_Challenge:_
Develop 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.

_Action:_
- Utilized **TensorFlow Object Detection API** to create a real-time sign language detection model.
- Collected 15 images for each of 5 sign language gestures: "hello," "yes," "no," "thank you," and "I love you."
- Implemented a 6-step process:
1. Captured real-time images using a webcam and labeled gestures.
2. Converted datasets into TFRecord format for training and testing.
3. Applied transfer learning with a pre-trained **SSD MobileNet V2 FPNLite** model for fine-tuning.
4. Configured a model pipeline and trained it over 10,000 steps to enhance accuracy.
5. Restored the model checkpoint for real-time inference.
6. Developed functionality for real-time gesture detection via webcam.

_Result:_
- Achieved a high accuracy rate in detecting and interpreting sign language gestures.
- Enhanced accessibility for individuals with hearing impairments by providing a scalable and inclusive communication tool.
- Identified areas for future improvements, such as adapting to variations in sign language and improving model accuracy, to further support accessibility in technology.

**Customer Cancellation Analysis for Resort Hotels**

Provided actionable insights to reduce cancellation rates and optimize revenue strategies for hotels.

_Challenge:_ Analyze and reduce hotel booking cancellation rates from 13–29% to 10% within a year while addressing revenue decline caused by customer cancellations.

_Action:_
- Data Cleaning: Processed raw datasets by handling null values, correcting data types, addressing outliers, and removing logical errors using Python.
- Exploratory Data Analysis (EDA): Performed linear regression and data analysis with Python and Google Sheets to understand trends and patterns.
- Visualization: Built insightful dashboards using Looker Studio to highlight trends in booking cancellations, ADR (average daily rate), and system performance.
- 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.
- Recommendations & Policies: Suggested key improvements, including deposit requirements, improved system response times, and better customer communication.

_Result:_
- Identified high cancellation rates for bookings without deposits (49.29% for Resort Hotels and 49.14% for City Hotels in 2017).
- Proposed implementing deposit policies to lower cancellation rates.
- Provided strategies to optimize revenue by reducing lead times, increasing staff, and upgrading systems to improve service quality.
- Highlighted actionable insights for improving ADR competitiveness and minimizing cancellation impact.

_Additional Insights & Recommendations:_
- City Hotels can attract more customers by lowering prices by at least 9.4% and enhancing service quality.
- Resort Hotels should focus on promoting leisure travel to capitalize on their lower cancellation rates.
- Sending booking reminders and offering rescheduling options can reduce cancellations and enhance customer retention.

Google Colab Link: [Data Cleaning](https://colab.research.google.com/drive/1DD26w6VQpkK8pldMgbO3-JZbH2Yj2yzB?usp=sharing#scrollTo=eVPXcXPGA_c_)

Skills & Certificates

**Technical Skills**: Python, TensorFlow, SQL, Google Data Studio, NLP, Computer Vision, Data Analysis, Full-Stack Web Development.
**Soft Skills**: Problem-solving, quick learning, attention to detail, team leadership.

**Certificates I Gain**: [here](https://drive.google.com/drive/folders/1BmpXp1669jzlLzwVwxZaSL4ECG_Qrldg?usp=sharing)

🔗 Connect with me



LinkedIn


GitHub


Email


Instagram