YouTube Analytics Pipeline
Built an end-to-end analytics pipeline from YouTube API extraction, PostgreSQL transformation, supervised and lexicon-based sentiment analysis, to an interactive React dashboard.
About Me
Who I am and what I do
I am a Data Science Graduate candidate at Telkom University Purwokerto with a GPA of 3.86/4.00 and practical experience in machine learning, statistical analysis, data visualization, and business process automation.
My projects span healthcare automation, social media sentiment analysis, stock return forecasting, portfolio optimization, and computer vision. I focus on turning complex data into clear insights and practical solutions that support better decision-making.
I am currently open to opportunities in Data Science, Machine Learning, AI Engineering, Data Analytics, Business Intelligence, and Process Automation.
Technical Skills
Tools I use to build and ship
Programming & Querying
Python
R
SQL
C++
Data Processing & ETL
pandas
NumPy
openpyxl
Data Cleaning
Data Validation
API Integration
SOAP Retrieval
ML & AI
scikit-learn
PyTorch
TensorFlow
NLP
Model Evaluation
YOLO/Ultralytics
OpenCV
Stats & Analytics
Hypothesis Testing
Regression
Time Series
SPSS
EViews
Visualization & Deployment
Matplotlib
Seaborn
Power BI
Tableau
Streamlit
FastAPI
Git/GitHub
Languages: Bahasa Indonesia (Native), English (B2 — TOEFL ITP 547)
Featured Projects
Case studies and impact highlights
Healthcare Process Automation
Built a Streamlit-based automation system for DPJP validation and BPJS claim support, reducing manual data retrieval from months into a structured automated workflow.
TukuPos Sales Analysis
Analyzed MSME sales transactions to uncover trends, forecast demand, and identify product association rules for inventory and sales strategy recommendations.
LQ45 Portfolio Optimization
Developed a portfolio optimization pipeline for LQ45 stocks covering return forecasting, noise reduction, hyperparameter tuning, and dynamic asset allocation.
Real-Time Acne Detection
Developed a real-time acne detection model using YOLOv11n and webcam-based inference to identify acne-related features in facial images.
Pilkada 2024 Sentiment Analysis
Analyzed public discussions about Pilkada 2024 on X using text preprocessing and NRC Lexicon sentiment labeling to summarize audience sentiment patterns.
Professional Experience
What I've shipped in real environments
Python Automation Intern — RSUD Dr. (H.C.) Ir. Soekarno Bangka Belitung
June 2025 – August 2025
- Developed a Python-based automation system integrated with Streamlit to support DPJP recording and healthcare administrative data processing.
- Processed and integrated data from PDF files, Excel files, and SIMRS using pandas, NumPy, openpyxl, Streamlit, and SOAP-based data retrieval.
- Automated the previously manual process of checking patient medical record numbers, admission dates, emergency unit visits, surgery records, and related clinical-administrative information from SIMRS.
- Reduced the data retrieval process from approximately three months of manual checking to one day of automated extraction, followed by one week of manual validation by hospital staff.
- Implemented automated validation logic and fallback handling for missing, incomplete, or unavailable SIMRS data to improve data reliability before operational use.
- Generated structured Excel outputs used by the DPJP recording unit for further verification and operational decision-making.
- Collaborated with healthcare administrative stakeholders and cross-functional hospital units to align the automation workflow with real operational needs.
Assistant Lecturer — Telkom University Purwokerto
September 2023 – January 2026
Data Structures with C++
September 2025 – January 2026
- Supported students in Data Structures using C++ to strengthen programming logic and problem-solving skills.
Statistic Methods II
February 2024 – June 2024
- Assisted 40+ students in descriptive and inferential statistics, including hypothesis testing, regression, statistical interpretation, and applied decision-making using SPSS.
- Guided students in interpreting statistical outputs and preparing structured analytical reports based on quantitative results.
Statistic Methods I
September 2023 – January 2024
- Taught R programming for data cleaning, data visualization, regression analysis, and statistical testing.
- Supported students in transforming raw datasets into analytical outputs and communicating findings through structured reports.
Private Tutor — Mathematics (Freelance)
January 2024 – Present
- Designed learning programs focused on analytical thinking and problem solving.
Leadership & Organization
How I lead and collaborate
Head of Research & Innovation Division
Himpunan Mahasiswa Sains Data, Telkom University Purwokerto
Led academic programs and coordinated Data Slayer 2.0 (250+ teams): dataset preparation, scoring, leaderboard, guidelines, and evaluation workflow.
Machine Learning Division Lead — Capstone
Bangkit Academy led by Google, Tokopedia, Gojek & Traveloka
Coordinated ML workflow, model evaluation, task distribution, and integration alignment with mobile and cloud teams.
Certifications & Training
Continuous learning
- Dicoding courses related to programming, machine learning, and data science
- Coursera courses related to data science, machine learning, and AI
- Additional data science courses after internship/work experience
Let's Connect
Open to internship and entry-level opportunities
Contact
I am open to opportunities in data science, machine learning, data analytics, AI engineering, and business process automation.
Quick Info
Email: andihisyam0012@gmail.com
Phone/WhatsApp: 0823-1129-8252
Location: Purwokerto, Central Java, Indonesia (Open to relocation)
GitHub: github.com/andihisyam
