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Hi, I am

Steven Immanuel C. Girsang

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0.00

GPA

Telkom University

0+

Projects

Built & shipped

0

Internship

Company & Startup

0

Certification

Microsoft & Tel-U

Python
Machine Learning & Deep Learning
AI & LLM
Data Analysis & Visualization
Steven Immanuel C. Girsang
🚀Background & Passion

Hello! I am Steven Immanuel C. Girsang (also known as Steven Girsang / StevChrist), a fresh graduate in Data Science from Telkom University, Bandung.

I am deeply passionate about how data can uncover hidden patterns, power machine learning models, and solve real-world industry challenges. During my academic journey and organization roles, I developed strong capabilities in ML algorithms, Data Warehousing, Business Intelligence dashboards, and full-stack web applications.

Ready for full-time Data Science & Analytics roles

GITHUB CONTRIBUTIONS

0 contributions in September

Live Activity@StevChrist

♾️INTERESTS & FUN FACT

Outside tech, I enjoy gaming, listening to music, watching movies, photography, and video editing.

💡Fun fact: I can sleep over 13 hours & love deep focus music playlists!

📅Jul 2019 - Apr 2022

🎓SMA Kristen Kalam Kudus Pematangsiantar

📍North Sumatra, Indonesia
Natural Science Major (IPA)
  • Focus on Mathematics, Physics & Computer Fundamentals
  • Active participant in academic competitions & student activities
📅Sep 2022 - Jan 2026
🎗️GPA 3.67 / 4.00

🎓Telkom University

📍Bandung, West Java, Indonesia
Bachelor of Data Science (S.Si.D.)
  • Relevant Coursework: Machine Learning, Data Visualization, Deep Learning, Big Data Analytics, Data Warehousing, Business Intelligence
  • Organisational Experience :
  • Himpunan Mahasiswa Data Science as Member of Publication and Documentation Division
  • LEVIATHAN as Head of Publication and Documentation Division
💼

PT Prasetia Dwidharma

📍Jakarta, Indonesia

📅Jul 2025 - Aug 2025
⏱️2 Months

Data Analyst & Data Engineer Intern

  • Managed and maintained production company databases using PostgreSQL to support daily operations and enterprise data migration projects.
  • Extracted, structured, and cleaned datasets using complex SQL queries for seamless ERP/Odoo system integration.
  • Executed thorough data validation workflows to eliminate null values, duplicates, and system schema inconsistencies.
  • Conducted cross-system audit checks between PostgreSQL, Excel spreadsheets, and Odoo ERP modules to guarantee 100% data integrity.
  • Collaborated directly with the senior IT engineering team and produced technical documentation for data pipeline preparation.
PostgreSQLSQL QueriesData EngineeringOdoo ERPData ValidationExcel Analytics
🐍

Python

0%
🛢️

SQL & Query Optimization

0%
🐘

PostgreSQL

0%
📈

Microsoft Excel

0%
📊

Data Analysis & Visualization

0%

Power BI & Dashboarding

0%
🔄

ETL / Data Processing Pipelines

0%
🏬

Data Warehousing

0%
🧩

Data Modeling

0%
📐

Statistical Analysis

0%
🤖

Machine Learning & Deep Learning

0%
🖥️

Dashboard Development

0%
TBH-Pricing Preview
✦ NEW PROJECT

TBH-Pricing

TBH Inventory Price Tracker helps Task Bar Hero players monitor, value, and track their in-game item portfolios against the Steam Community Market with real-time price updates in IDR & USD and custom threshold notifications.

Real-Time TrackerSteam APIPortfolio AnalyticsFull-Stack
PenineMate Preview

PenineMate

PenineMate is an academic AI-powered movie assistant developed for portfolio purposes. The application uses the TMDb API to retrieve movie metadata, cast information, and popularity data to support Q&A and semantic-based recommendation features.

AI AssistantSemantic SearchTMDb APINext.jsNLP
Data Warehouse & Business Intelligence Preview

Data Warehouse & Business Intelligence

This project focuses on designing and implementing an enterprise Data Warehouse (DW) and Business Intelligence (BI) system to support monitoring, evaluation, and decision-making for Kerja Praktik (KP) activities at the faculty level.

Power BIData WarehouseETLBusiness IntelligenceAnalytics
Social Sentiment Preview

Social Sentiment

SocialSentiment is an AI-powered web application that analyzes the sentiment of YouTube video comments in real time. By simply pasting a YouTube video URL, the platform automatically fetches public comments and classifies each one as Positive, Neutral, or Negative.

AI / NLPSentiment AnalysisPythonReal-Time ScrapingWeb App
LumenAlyze Preview

LumenAlyze

Provides a complete workflow for data analysis, from CSV file upload and preprocessing (handling missing values, normalization, outlier removal) to three core ML tasks: prediction (Random Forest & MLP), anomaly detection (Isolation Forest), and segmentation (K-Means).

Machine LearningRandom ForestK-MeansAnomaly DetectionAutoML
Project Capstone Water Potability Preview

Project Capstone Water Potability

This project aims to develop a machine learning-based system that is able to predict the level of potable water quality based on various physical and chemical quality parameters.

Machine LearningClassificationStreamlitPythonData Science
Sentiment Analysis with C-LSTM models Preview

Sentiment Analysis with C-LSTM models

This project implements sentiment analysis using a Convolutional Long Short-Term Memory (C-LSTM) architecture on text data. It covers preprocessing, C-LSTM model building, training, and prediction.

Deep LearningC-LSTMNLPNeural NetworksPython
COMING SOONDevelopment in Progress
⚙️ ON GOING

Indonesia ISP Analytics Dashboard

An enterprise data pipeline and interactive analytics dashboard monitoring ISP market share, network latency, and regional broadband performance across Indonesia.

PythonPlaywrightData PipelineAnalytics

Want to see other projects? They are all on GitHub.

Clean commits, READMEs, and live demos for each project.

Visit GitHub

Whether you have a data science project, machine learning challenge, business intelligence inquiry, or just want to say hi — my inbox is always open!