I am writing to express my interest in the Lead Generation Specialist, Appointment Setter, and Social Media Management position. With experience in lead generation, prospect research, appointment setting, and social media management, I am confident in my ability to help your business attract qualified leads, increase engagement, and support business growth.
My experience includes:
Lead generation through Facebook, Instagram, LinkedIn, and other social media platforms
Prospect research using tools such as Apollo, Hunter.io, LinkedIn Sales Navigator, and Google
Building targeted contact lists and verifying lead information
Cold outreach via email, social media, and messaging platforms
Appointment setting and calendar management
Social media content scheduling and community engagement
Data entry, CRM management, and administrative support
Strong communication and organizational skills
I am eager to contribute my skills and learn more about your business needs. I would welcome the opportunity to discuss how I can add value to your team.
Thank you for your time and consideration. I look forward to hearing from you.
Sincerely,
Kleeve Vonn Rosco
Lead Generation Specialist | Appointment Setter | Social Media Manager
Email: kleeve29rosco@gmail.com
Phone: +639550763431
LinkedIn: www.linkedin.com/in/kleeve-vonn-rosco-74241b417
Location: Philippines
YOUR DASHBOARD MIGHT BE LYING TO YOU.
Not because Power BI is wrong.
Because the data underneath it is.
A beautiful dashboard built on messy data doesn't create better decisions.
It creates confident mistakes.
Then someone adds a few colorful charts, calls it "analytics," and moves on.
I don't work that way.
I take the mess first.
RAW DATA → CLEAN → TRANSFORM → MODEL → ANALYZE → POWER BI → INSIGHTS
I work with Excel, CSV and business datasets to:
→ Clean and validate messy data
→ Transform data using Power Query
→ Combine multiple files and sources
→ Build data models and DAX measures
→ Create interactive Power BI dashboards
→ Identify trends, KPIs and business insights
→ Build reporting workflows that are easier to refresh and maintain
Because a dashboard shouldn't just look impressive.
Every KPI should answer a question.
Every visual should have a purpose.
And every number should be trustworthy.
That's the service I'm offering.
If your business data is sitting across messy Excel files, CSVs or scattered spreadsheets, I can turn it into:
Clean Data → Clear Analysis → Interactive Power BI → Better Decisions
You bring the data.
I'll find what it's trying to say.
📊 Power BI Dashboard & Data Analytics
Now available for freelance projects on Contra.
I actually 99.99% agree,
Furthermore Outliers removal is part of cleaning datasets we choose to begin a project, Descriptive statistics is a key for detection
What makes an A/B test readout useful to a product team?
My preferred first page answers four questions:
What changed, and by how much?
How uncertain is the estimate?
Did an important guardrail get worse?
What decision does the evidence support, and what remains unresolved?
A result can be statistically significant and still too small to matter. An inconclusive result can still leave a meaningful gain or loss plausible. The decision needs more than a green badge.
This is a strong framing of experiment readouts: separating signal, uncertainty, guardrails, and the actual decision keeps the team honest. The reminder that significance is not the same as usefulness is especially important.