Tika Putri
Marsanti.

I analyze data to identify patterns, generate actionable insights, and support decision-making through data cleaning, exploratory data analysis, visualization, and dashboard development.

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Tika Putri Marsanti
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Projects

A collection of projects covering data analysis, visualization, dashboard development, and machine learning to generate insights from data.

01 Customer Segmentation and Classification dashboard
Data Analysis + ML

Customer Segmentation & Classification

Python · Pandas · K-Means · Random Forest · Decision Tree · Streamlit

Problem

Analyze customer characteristics based on transaction patterns to create segments that can support marketing strategies.

Approach

Perform data cleaning and EDA, create customer segments using K-Means, and then use classification models to predict customer segments.

Key Result

Generate customer segments and integrate the analysis results into an interactive Streamlit application.

K-MeansClustering
2 ModelsClassification
StreamlitDeployment
GitHub Live Demo
02 Bike Sharing Analytics Dashboard
Data Analysis + Dashboard

Bike Sharing Analytics Dashboard

Python · Pandas · NumPy · Matplotlib · Seaborn · Streamlit

Problem

Understand bike-sharing demand patterns based on time, season, day, and user characteristics.

Approach

Perform data cleaning and EDA to identify usage patterns, then present the analysis through visualizations and an interactive dashboard.

Key Result

Identify demand patterns based on time and usage conditions and present them through a Streamlit dashboard.

EDAAnalysis
DashboardStreamlit
PythonAnalytics
GitHub Live Demo
03 Stunting Prediction project
Machine Learning

Stunting Risk Prediction

Python · Pandas · Scikit-learn · SMOTE · Logistic Regression · SVM

Problem

Analyze anthropometric data to identify patterns and build a stunting risk classification model.

Approach

Perform preprocessing and feature engineering, address class imbalance using SMOTE, and compare multiple classification models.

Key Result

The best-performing model achieved strong performance on imbalanced data, with evaluation focused on F1-Score, Recall, ROC-AUC, and PR-AUC.

0.99ROC-AUC
0.95F1-Score
94%Recall
GitHub
04 Bank Marketing Prediction project
Predictive Analytics & Dashboard

Bank Marketing Effectiveness Prediction

Python · Scikit-learn · Streamlit · Plotly · Random Forest

Problem

Banking telemarketing campaigns can waste time and resources by targeting the wrong demographics, resulting in a low conversion rate for term deposits.

Approach

Build an end-to-end machine learning pipeline for customer classification and deploy it as an interactive web dashboard. The system provides dynamic EDA visualizations and a real-time prediction form.

Key Result

Develop a decision support system that helps the marketing team identify high-quality customer prospects and optimize campaign strategies efficiently.

AppStreamlit
MLClassification
InsightBusiness
GitHub Live Demo
Toolkit

Technical Skills

Programming & Analysis

Python SQL Pandas NumPy Data Cleaning EDA

Machine Learning

Scikit-learn Classification Regression Clustering Feature Engineering

Visualization & Tools

Matplotlib & Seaborn Streamlit Looker Studio Git & GitHub Jupyter
Education

Education & Certifications

Bachelor of Information Systems

Universitas Mercu Buana

Focused on information systems, data analytics, machine learning, databases, and software development.

Google Advanced Data Analytics

Google

A professional certificate covering data analysis, statistics, Python, machine learning, and analytical thinking.

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BNSP Software Engineering

BNSP

Certifications kompetensi vokasi di bidang software engineering.

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Oracle Database

Oracle

Database design and programming fundamentals.

View Credential

Bronze Medal

Pekan Inovasi Nasional 2025

Awarded a bronze medal in a national innovation competition.

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About Me
Tika Putri

I am an Information Systems graduate with a focus on data analytics and machine learning. I enjoy transforming raw data into insights that can support decision-making.

I have experience using Python, Pandas, data visualization, machine learning, and Streamlit to develop data-driven projects from preprocessing to presenting results.

Data Cleaning & EDA
Data Visualization
Predictive Modeling
Interactive Dashboard

Let's Work Together.

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