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Fiverr Pro
English
$
USD
I will develop interactive data dashboards and business analytics
About this Gig
Are you tired of staring at confusing spreadsheets or basic, static charts? Let me transform your raw datasets into high-performance, interactive Streamlit Dashboards!
I am a B.Sc. graduate in Computer Science and Engineering from North South University, specializing in data intelligence, advanced logic processing, and machine learning. I bridge the gap between heavy backend data science and clean, user-friendly web interfaces.
What I Can Build For You:
- Interactive Data Storytelling: Fully responsive web layouts in Streamlit.
- Advanced Visualizations: Dynamic, zoomable charts using Plotly, Seaborn, and Altair.
- Live API Integrations: Real-time data streaming (e.g., weather feeds, CRM updates).
- AI & Machine Learning Power: Seamlessly embedding predictive models (XGBoost, Scikit-Learn) right into your UI with performance caching (st.cache).
Portfolio Highlights:
- Dengue Outbreak Predictor: Maps live weather API climate vectors against historical data to project real-time regional risks.
- Hybrid Analytics Forecaster: Processes 200k+ data rows with editable logic layers to optimize ad spend.
My Portfolio
FAQ
Do I need to provide the raw dataset, or can you pull data from live web APIs?
I can work with both! Whether you have an existing dataset (CSV, Excel, SQL) or need the dashboard to dynamically fetch real-time data from external third-party REST APIs (such as live weather feeds, financial charts, or sports logs), I can engineer the backend data pipeline to ingest it cleanly.
Will the dashboard run slowly if my dataset contains millions of rows or complex calculations?
Not at all. As a Computer Science and Engineering graduate, I design dashboards with optimized data structures. I implement Streamlit's advanced caching mechanisms (st.cache_data and st.cache_resource). This ensures heavy data processing or machine learning model loads happen in the background.
Can you integrate pre-trained Machine Learning or AI models into the Streamlit UI?
Yes, absolutely. In the Premium tier, I specialize in embedding fully trained predictive models (such as XGBoost or Scikit-Learn algorithms) directly into the dashboard framework. This allows users to tweak input parameters using sidebar sliders or text boxes and see instant, real-time predictions.
Can you train a model on my dataset and deploy in streamlit?
Absolutely. I will train the model and deploy in streamlit for visualize and interactive results.
