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Fiverr Pro
English
$
USD
I will do data analysis, visualization and dashboards with python
AI ML Engineer, Data Science, Automation, RAG and Computer Vision
We're an AI and data startup that takes projects from idea to deployment. Our team has hands-on experience across AI automation, machine learning, automation bots, computer vision, data science, analy...
About this Gig
Are you sitting on a mountain of data but struggling to extract actionable business insights?
I am an AI & Data Science professional leading a dedicated tech startup team. We specialize in transforming raw, messy data into clean pipelines and stunning, interactive dashboards that drive decision-making.
We bring enterprise-level engineering to every project. My past work includes building a Python JSON-driven rules engine that processed 1.5M+ banking records monthly (cutting a 2-month manual process down to hours), as well as developing e-commerce data warehouses and custom visualization dashboards using Tableau and D3.js.
What we can do for you:
- Data Cleaning & Processing: Handling missing values, duplicates, and structuring raw data using Python (Pandas/NumPy) and SQL.
- Exploratory Data Analysis (EDA): Uncovering hidden trends, correlations, and statistical summaries.
- Interactive Dashboards: Building beautiful, user-friendly dashboards in Tableau, Power BI, Streamlit, or custom web frameworks (React/Next.js) to track your exact KPIs.
- Data Pipelines (Premium): Using PySpark, Docker, and SQL for heavy data processing and automated reporting.
Why work with us? We don't just make prett
FAQ
What tools do you use for visualizations?
We are highly flexible. We use standard BI tools like Tableau and Power BI, Python-based frameworks like Streamlit, or build custom web dashboards using D3.js, React, and Next.js.
: What data formats do you accept?
We accept CSV, Excel, JSON, or we can connect directly to your SQL/NoSQL databases (MySQL, PostgreSQL, MongoDB, Azure, AWS).
s my data kept confidential and secure?
Absolutely. I have experience working in Internal Audit and Data Science for the banking sector (handling millions of sensitive financial records). We follow strict data privacy protocols.
