Turning Process Data into Visual Insight😯🤯
Process data alone doesn’t create insight.
Visual structure does.
By combining:
• chemical engineering logic
• clean graphic layouts
• clear charts and flow visuals
Raw data becomes decision-ready information.
Engineering tells you what’s happening.
Design shows you why it matters.ðŸ¤
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In this project, I provide structured data solutions designed to improve business efficiency. My work focuses on maintaining high-accuracy databases through systematic data cleaning, formatting, and CRM integration. I also specialize in creating visual Excel dashboards that transform raw data into clear, actionable insights for B2B lead generation.
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Beyond the 5 Stars: The Unseen Story in Amazon Alexa Reviews
Everyone talks about how much people love their Alexa devices. The overall ratings are stellar (4.46/5 avg.), and yes, a dominant 76.35% of reviews are positive. But the real story is often in the shadows of that success.
Despite 76% positive sentiment, 1 in 5 reviews are neutral/negative. Even 1-star reviews contain words like "Love," showing frustration from disappointed fans.
The word cloud tells the real story: alongside "Great" and "Easy" sit "problems," "doesn't," and "disappointed."
Mass appeal can mask specific, recurring failures. True excellence solves for the criticism hidden in the praise.
#AmazonAlexa #VoiceTech #CustomerFeedback #SentimentAnalysis #DataAnalytics #ProductManagement #Tech #UserExperience #DataStorytelling #PowerBI
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I performed a full QuickBooks Online cleanup, reconciliation, and month-end close for a US-based service business.
The work included reviewing and correcting transaction classifications, cleaning up uncategorized and duplicate entries, reconciling bank and credit-card accounts, reviewing accounts receivable and payable, updating the chart of accounts, and recording accruals, prepayments, depreciation, and other adjusting journal entries.
I also prepared monthly Profit and Loss, Balance Sheet, cash-flow, AR aging, AP aging, and budget-versus-actual reports. The completed cleanup gave management more reliable financial information, clearer visibility into cash flow and profitability, and a structured process for future monthly reporting.
Sample data has been used to maintain confidentiality.
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