You will get I will extract clean and analyse data from any API using Python

Let a pro handle the details

Buy Data Mining & Web Scraping services from Vivian, priced and ready to go.

Let a pro handle the details

Buy Data Mining & Web Scraping services from Vivian, priced and ready to go.

Project details

Are you a business owner, researcher, fintech, healthcare or any type of company who needs clean, structured data extraction and analysis — fast and accurately?
I will extract live and historical data directly from the API (Base Url) using Python, clean it thoroughly and deliver ready-to-use datasets with clear market insights.
What makes this different from other sellers:
I do not just pull raw data and hand it over. I clean it, structure it, analyse it and answer your actual business questions — the same way a professional data analyst would for a real client.
Here is exactly what I did in my most recent crypto project:
✅ Extracted live market data for Top 10 cryptocurrencies by market cap
✅ Pulled 30-day Bitcoin price history from CoinGecko historical endpoint
✅ Extracted global crypto market summary — total market cap and Bitcoin dominance
✅ Cleaned all datasets — dropped irrelevant columns, fixed data types, rounded prices, converted Unix timestamps to readable dates
✅ Formatted market caps in billions and built a Bitcoin 30-day price trend chart
✅ Exported clean CSV files ready for analysis
✅ Answered key business questions
✅ Delivered a full written analysis report
Data Tool
Python
What's included
Service Tiers Starter
$20
Standard
$50
Advanced
$100
Delivery Time 2 days 3 days 5 days
Number of Pages Mined/Scraped
123
Number of Sources Mined/Scraped
123
Number of Revisions
123

Frequently asked questions

Vivian I.Status: Offline

About Vivian

Vivian I.Status: Offline
Data Analyst | End-to-End Analytics | Power BI | SQL | Python | Excel
Port Harcourt, Nigeria - 4:16 am local time
Struggling to make sense of your data? I help small businesses and startups clean, analyse, and visualise their data — turning raw, messy datasets into clear business insights that drive faster, smarter decisions.
I work across the full data pipeline: from extracting and cleaning data, to modelling and building interactive dashboards that give decision-makers the visibility they need.

WHAT I BRING TO YOUR PROJECT

✦ Data Cleaning & Preparation — Python (Pandas), Power Query, Excel

✦ Database Design & SQL Analysis — SQL Server, Star & Snowflake Schema

✦ Dashboard & Visualisation — Power BI, Tableau, interactive KPI reporting

✦ Automation & Efficiency — Excel VBA macros, automated workflows

✦ API Data Extraction — Python (requests, REST APIs), JSON parsing

✦ Statistical Analysis — Descriptive statistics, RFM segmentation, correlation

✦ Business Intelligence — KPI tracking, executive-level reporting

✦ CRM- Hubspot, Zendesk, Freshdesh, Zoho, Salesforce

📊 Invoice Reconciliation Automation (Excel + VBA)

Built an automated reconciliation system processing 500+ transactions using Excel VBA macros and advanced formulas (INDEX/MATCH, XLOOKUP). Reduced manual reconciliation time from 3 hours to 5 minutes — a 96% time saving — while eliminating 95% of matching errors. Delivered an interactive dashboard with real-time KPIs and automated exception reporting.
🛒 Brazilian E-Commerce Analytics (Python + Power BI)

End-to-end analysis of the Olist e-commerce dataset — cleaning 941,910+ rows in Python, enforcing referential integrity across 6 relational tables, and building a Snowflake schema data model in Power BI. Delivered insights across revenue trends, geographic sales distribution, delivery efficiency, product performance, and customer satisfaction.
🏪 E-Commerce Data Warehouse (SQL Server + Power BI)

Designed a full SQL Server data warehouse using Star Schema architecture. Implemented primary/foreign keys, CHECK constraints, UNIQUE constraints, and email validation for data integrity. Built reporting views and an interactive Power BI dashboard analysing sales performance, product profitability, and customer purchasing behaviour.
👥 RFM Customer Segmentation (Excel Power Query + Python)

Analysed 941,910 rows of retail transactional data, cleaning and validating down to 392,733 records. Applied RFM (Recency, Frequency, Monetary) scoring on a 1–10 scale to segment customers into behavioural groups. Conducted Pareto (80/20) analysis to identify revenue concentration and delivered targeted marketing strategy recommendations per segment.
🎧 CRM & Support Operations Analysis (Freshdesk + Excel)

Configured a Freshdesk account as admin — setting up agent roles, skill-based routing, escalation rules, SLA policies, and a self-service knowledge base. Created and managed 100+ test tickets across channels, then exported and analysed the data in Excel: tracking ticket status distribution, first response times, resolution times, and agent performance. This project reflects my understanding of how CRM configurations directly shape the data you can analyse downstream.

WHY WORK WITH

I don't just clean data — I build analytical structures that support reliable, long-term business decision-making. I combine technical precision with business context, ensuring every project delivers not just numbers, but actionable intelligence.
I communicate clearly, meet deadlines, and take full ownership of every project from start to finish. Whether you need a one-time analysis, an automated reporting system, or a full BI dashboard — I am ready to deliver.
Let's turn your data into your most valuable business asset.

Send me a message — I'd love to learn about your project.

Steps for completing your project

After purchasing the project, send requirements so Vivian can start the project.

Delivery time starts when Vivian receives requirements from you.

Vivian works on your project following the steps below.

Revisions may occur after the delivery date.

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