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I will do python data analysis and build interactive streamlit dashboards
Hashir Khan
About this gig
Turn raw data into powerful Python-driven Streamlit dashboards!
Need more than just a chart? I provide end-to-end data solutions, combining deep Python analysis with interactive Streamlit web apps. I don't just visualize data; I clean, process, and analyze it to uncover the insights that matter to your business.
What you get:
Expert Data Analysis: Cleaning, EDA, and custom Python logic (Pandas/NumPy).
Interactive Dashboards: Dynamic Streamlit apps with Plotly/Seaborn visuals.
Custom Functionality: Tailored filters, multi-page layouts, and business logic.
Full Ownership: Complete source code and deployment support included.
Why choose me?
Dual Expertise: Professional Python developer and data visualization expert.
Tailored Solutions: Every app is custom-built for your specific business goals.
Fast Delivery: High-quality, bug-free code delivered on time.
Please contact me before ordering to discuss your project requirements!
Get to know Hashir Khan
Hashir Khan
Data Analyst, Streamlit and Power BI Expert
- FromPakistan
- Member sinceJan 2026
- Avg. response time1 hour
Languages
Urdu, English
As a Data Analyst and Python Developer, I transform raw data into interactive web apps and actionable insights. I specialize in building dynamic dashboards using Streamlit and Power BI, alongside expert data cleaning in Excel and SQL.
I help businesses track KPIs, analyze sales, and improve efficiency through custom analytics tools. Whether you have messy spreadsheets or complex datasets, I deliver professional, user-friendly solutions tailored to your needs. Committed to clear communication and on-time delivery. Let’s turn your data into a competitive advantage!
My Portfolio
FAQ
Q1: What kind of data can you analyze with Python?
I can analyze various data types, including CSV, Excel, SQL databases, JSON, and more. My Python expertise allows for robust data cleaning, transformation, and statistical analysis.
Q2: What Python libraries do you use for data analysis?
I primarily use powerful libraries such as Pandas for data manipulation, NumPy for numerical operations, Matplotlib and Seaborn for static visualizations, and Plotly for interactive charts within Streamlit.
Q3: Can the Streamlit dashboard be deployed online?
Yes, I will provide guidance and support to deploy your Streamlit application to platforms like Streamlit Cloud, making it accessible via a web link.
Q4: Do you provide the Python source code for the analysis and Streamlit app?
Yes, for every project, you will receive the complete Python source code for both the data analysis script and the Streamlit application. This ensures full transparency and ownership.
Q5: How do you handle data privacy and confidentiality?
Client data privacy is paramount. All data is handled with strict confidentiality. We can discuss and sign a Non-Disclosure Agreement (NDA) if your project requires it.
Q6: Can you help me understand the insights from the data analysis?
Absolutely. Beyond delivering the analysis and dashboard, I will provide clear explanations of the findings, their implications, and actionable recommendations for your business.
