Andi Hisyam Helmi Faalih Fakhruddin

Data Science Graduate | Machine Learning | Data Analytics | Python Automation

Data Science Graduate candidate with hands-on experience in machine learning, statistical analysis, data automation, and data visualization, with projects spanning finance, healthcare, sales analytics, social media analytics, and computer vision.

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Profile photo of Andi Hisyam
Purwokerto, Central Java, Indonesia Email: andihisyam0012@gmail.com Phone/WhatsApp: 0823-1129-8252
Graduate CandidateData Science
GPA 3.86/4.00Telkom University
Python + Machine LearningAutomation & Modeling
Open to OpportunitiesInternship / Entry-level

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

Expedition Operations Dashboard

Google Sheets - FastAPI - PostgreSQL - React - Docker

Built an operations intelligence system for expedition workflows that synchronizes multi-division spreadsheet inputs, stores processed data in PostgreSQL, and provides overview, monitoring, and admin dashboards with exception tracking.

Skills Process Automation Dashboard Development ETL Operations Analytics
View GitHub View Case Study

YouTube Analytics Pipeline

Python - PostgreSQL - SQL - React - scikit-learn

Built an end-to-end analytics pipeline from YouTube API extraction, PostgreSQL transformation, supervised and lexicon-based sentiment analysis, to an interactive React dashboard.

Skills Data Engineering ETL NLP Dashboard Development
View GitHub View Case Study

Healthcare Process Automation

Python - Streamlit - pandas - openpyxl - SOAP API

Built a Streamlit-based automation system for DPJP validation and BPJS claim support, reducing manual data retrieval from months into a structured automated workflow.

Skills Process Automation Data Validation Operational Reporting
View GitHub View Case Study

TukuPos Sales Analysis

Python - pandas - ARIMA - Apriori

Analyzed MSME sales transactions to uncover trends, forecast demand, and identify product association rules for inventory and sales strategy recommendations.

Skills Business Analytics Forecasting Market Basket Analysis
View GitHub View Case Study

LQ45 Portfolio Optimization

Python - PyTorch - Optuna - Kalman Filter - MPC

Developed a portfolio optimization pipeline for LQ45 stocks covering return forecasting, noise reduction, hyperparameter tuning, and dynamic asset allocation.

Skills Time Series Forecasting Portfolio Optimization Machine Learning
View GitHub View Case Study

Real-Time Acne Detection

Python - YOLOv11n - OpenCV - Roboflow

Developed a real-time acne detection model using YOLOv11n and webcam-based inference to identify acne-related features in facial images.

Skills Computer Vision Object Detection Deep Learning
View GitHub View Case Study

Pilkada 2024 Sentiment Analysis

Python - Tweet Harvest - NRC Lexicon - pandas

Analyzed public discussions about Pilkada 2024 on X using text preprocessing and NRC Lexicon sentiment labeling to summarize audience sentiment patterns.

Skills NLP Sentiment Analysis Social Media Analytics
View GitHub View Case Study
Browse all projects →

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

August 2024 – January 2025

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

September 2024 – January 2025

Coordinated ML workflow, model evaluation, task distribution, and integration alignment with mobile and cloud teams.

Certifications & Training

Continuous learning

Bangkit Academy certificate
Bangkit Academy Machine Learning Track
Assistant lecturer certificate (Metstat 1)
Assistant Lecturer Asisten Praktikum — Metstat 1
Assistant lecturer certificate (Sturkdat)
Assistant Lecturer Asisten Praktikum — Sturkdat
Assistant lecturer certificate (Metstat 2)
Assistant Lecturer Asisten Praktikum — Metstat 2
TOEFL ITP
547
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TOEFL ITP Score report
  • 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.

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Quick Info

Email: andihisyam0012@gmail.com

Phone/WhatsApp: 0823-1129-8252

Location: Purwokerto, Central Java, Indonesia (Open to relocation)

GitHub: github.com/andihisyam