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I will develop interactive data dashboards and business analytics
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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.
Mi porfolio
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.
