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eCommerce Sales Analysis — 1M+ Row Dataset
Analyzed a 1M+ row eCommerce dataset using
Python, DuckDB, and Matplotlib. Built an
interactive dashboard showing KPIs, monthly
trends, category breakdowns, and country
analysis.
Key findings:
→ Processed 1M+ transactions
→ Monthly revenue trends identified
→ Top 10 countries analyzed
→ Category performance breakdown
→ Fully verified against raw CSV data
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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I used to spend hours cleaning messy Excel files manually.
Now? I use AI tools to cut that time in half — and deliver better results to my clients.
Here's how AI has changed my freelance data workflow:
🔹 Faster data cleaning
Instead of manually hunting for duplicates and formatting errors, I use AI to flag inconsistencies instantly. What used to take 2 hours now takes 30 minutes.
🔹 Smarter dashboard structure
Before building any dashboard, I use AI to help me think through what metrics actually matter for that specific business — not just what looks good.
🔹 Better client communication
I use AI to help me write clearer project summaries and delivery notes — so clients understand exactly what they're getting and why it matters.
But here's what AI can't replace:
✔ Understanding what a CA firm actually needs vs what a D2C brand needs
✔ Knowing when a number looks wrong before the formula catches it
✔ The judgment that comes from actually working with real business data
AI is a tool. The thinking is still yours.
If you're a small business owner or CA firm drowning in Excel data — I can help you turn it into something you can actually use.
DM me or check my portfolio 👇
geethasree-data-support-cr241o7.gamma.site
dataanalsyisartificialintelligenceMicrosoft ExcelBusiness AnalysisData AnalysisData VisualizationClaudeGoogle Sheets
geethasree-data-support-cr241o7.gamma.site
Geethasree Naguboina
Data & Research Support Specialist | Excel Reports & Dashboards | AI Data Operations | Remote · Hyderabad, Telangana, India Skilled in data cleaning, validation, reporting, and structured workflows for teams and AI platforms. Email Me LinkedIn Profile
Alphabet Performance Analysis: What Business Leaders Can Learn From One of the World’s Most Successful Companies
Prepared by Intersect Analytics | Business Intelligence, Financial Analysis & Automation
Prepared by Intersect Analytics
At Intersect Analytics, we analyzed Alphabet Inc.’s financial and operational performance using Python for data extraction and transformation and Power BI for dashboard development to understand how business segments contribute to growth, profitability, and long-term performance.
Key Findings
Google Search Remains the Core Revenue Driver
Google Search & Other continues contributing the largest share of Alphabet’s revenue, maintaining its leadership in digital advertising and search services.
Google Cloud Continues Strong Growth
Google Cloud remains one of Alphabet’s fastest-growing business segments, supported by increased enterprise demand, AI adoption, and cloud infrastructure expansion.
YouTube Strengthens Revenue Performance
YouTube continues generating strong advertising revenue, reinforcing Alphabet’s ability to monetize digital engagement at scale.
Profitability Remains Strong
Despite major investments in AI, cloud infrastructure, and innovation, Alphabet continues maintaining strong operational performance and financial resilience.
Diversified Revenue Supports Stability
Alphabet benefits from multiple business segments across Search, Cloud, YouTube, Devices, and Emerging Ventures, strengthening resilience and reducing dependency on a single revenue source.
Recommendations
✔ Improve performance visibility through real-time dashboards and KPI tracking.
✔ Invest strategically in high-performing business segments.
✔ Use automation and analytics to improve reporting speed and decision-making.
✔ Strengthen operational monitoring to identify inefficiencies early.
How Intersect Analytics Helps Businesses
We help organizations transform manual reporting into intelligent business systems through:
📊 Power BI Dashboards & Business Intelligence
📈 Financial Analysis & Performance Reporting
🐍 Python Data Scraping & Automation
⚙️ Excel & Google Sheets Automation
🔄 Business Process Automation
📉 Data Analytics & Strategic Insights
Why Choose Intersect Analytics
✅ Business-focused solutions
✅ Executive-quality dashboards
✅ Automation-driven reporting
✅ Scalable analytics systems
Because growth is driven by better visibility, faster decisions, and intelligent execution.
INTERSECT ANALYTICS
Decisions Backed by Data. Growth Driven by Insight.
📞 +254 723 632 207
Does setting the vibe before the prompt actually change what Lovable builds?
I configured typography, color, and layout density before writing a single line — then let it build a full brand world page for a fictional luxury skincare brand, Gaia Essence.
Cormorant Garamond + DM Sans Light + parchment + obsidian + burnished gold. Set in the aesthetics panel. Not in the prompt.
What landed: the font pairing alone shifted the output from generic template to editorial. The tool made creative decisions — roman numerals, gold italic treatment, dark/light section contrast — without being asked.
What surprised me: "no buttons, pure brand world" was interpreted correctly on the first run.
What I'd change: more control over line height and surface hierarchy within the color token system.
The aesthetics update changes the quality ceiling, not just the starting point.
What are you building with it? Drop it below.
nice work
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