Lia Kurniawati
I'm Designer
About
Ex-Banking officer transitioning into a Data Scientist role after completing Hacktiv8 Data Science Bootcamp. Over seven years of experience in Indonesia's largest financial industry (PT Bank Negara Indonesia Tbk) in a customer-facing role providing unique financial recommendations. Core skills include providing actionable insights from modeling and statistical analysis.
Data Scientist & Expert in Analytical Skills.
Data Scientist with experience in building machine learning models. Proven ability to implement and test algorithms using SQL and Python. Having previous knowledge of industrial engineering helps me generate strategic insight from data models.
- Bootcamp: Hacktiv8 Indonesia
- Website: https://liakurniawati.github.io/
- Phone: +62 857 1055 9328
- City: Jakarta, Indonesia
- Major: Full Stack Data Science
- Degree: Bachelor
- Email: liakurniawati507@gmail.com
- Job: Open to Work
Projects
Financial Feasibility Analysis of SPBU Pertamina Investment (NPV, IRR, Payback Period)
Feasibility study evaluates the financial viability of investing in a fuel station.
Factors Influencing the Establishment of a Gas Station in a Region
The project involves data analysis and financial evaluation to assess the key factors influencing the feasibility of opening a gas station in a region.
Sentiment Analysis on MYPERTAMINA App Using NLP
Developed a deep learning project utilizing Natural Language Processing to predict positive and negative reviews on a MYPERTAMINA app in the Google Play Store or App Store.
Adidas Sales Performance & Insights
Analysis and visualization project to evaluate sales performance for an Adidas retailer using business data and creating a dashboard for stakeholders to monitor sales trends across 6 branches.
Time Series (Forecasting)
Analyzed travel demand for Pulau Pari by forecasting Google Trends, conducted time series decomposition, stationarity tests, and ACF/PACF analysis to determine ARIMA/SARIMA parameters.
Mobile Banking App Opinion Analysis
Developed a deep learning project utilizing Natural Language Processing to predict positive and negative reviews on a mobile banking app in the Google Play Store or App Store.
Fraud-Proof Security: Email Alerts & Signature Match
Develop machine learning and deep learning to predict online transaction fraud and send an alarm to the bank's email and detect signature similarity to verify whether a match or mismatch.
Predicting Fraud in Online Banking Transactions
Developed a machine learning project utilizing a pipeline to select the best model from 5 algorithms for forecasting online transaction fraud at banking company.
Banking Customer Churn Analysis
The project involves data analysis and visualization to evaluate the factors that influence the churn rate at bank, using business data and creating a dashboard for stakeholders to monitor customer loyalty trends at the bank.
Tools & Library
Python
PostgreSQL
GitHub
Pandas
NumPy
Scrappy
Seaborn
Scikit Learn
Scipy
Feature-Engine
TensorFlow
Keras
NLTK
Open CV
Tableau
Kibana
Matplotlib
Plotly
Streamlit
Hugging Face
Docker
Apache Airflow
Elasticsearch
AWS
Contact
Committed to delivering data-driven insights and innovative solutions through advanced analytics and machine learning. Passionate about transforming complex data into actionable strategies that drive business growth and efficiency.
Address
Cibinong-Bogor, Indonesia, 16915
Get in Touch
+62 857 1055 9328
I'm Available via Email at
liakurniawati507@gmail.com