Most business owners lose deals not because their offer is weak—but because their pipeline is inconsistent, their data is messy, and follow-ups fall through the cracks.
That's the operations gap. And it's quietly costing them revenue every week.
Over the past 2 years, I managed outreach pipelines across Asian markets—researching and verifying 36,6000+ LinkedIn profiles, executing 10,000+ outreach touchpoints, and maintaining a 26% average reply conversion rate consistently. I also built a custom Python script to automate lead matching when manual process weren't fast enough—because I don't wait to be told when something can be done better.
Here's what disappears when you work with me:
- Unwanted, duplicate-free prospect lists
- CRM records that are outdated or incomplete
- Follow-ups that nobody sent because nobody had time
- Weekly reports you have to chase your VA for
What improves:
- A clean, verified pipeline updated daily
- Outreach that actually gets replies
- Data your leadership can make decisions from
- An operator who flags problems before they become yours
Available for part-time and full-time remote roles. I work independently, communicate proactively, and deliver without hand-holding.
Experience: 1 - 2 years
- Built and maintained high-quality lead lists for Asian market outreach campaigns, researching 36,000+ LinkedIn profiles and executing 10,000+ outreach touchpoints across a 22-month period. - Managed weekly outreach trackers across multiple markets, monitoring reply rates, appointment metrics, and conversion data — sustaining an average LinkedIn reply conversion rate of 26% week-over-week. - Collaborated with the Managing Director and team lead to enhance data segmentation and process efficiencies based on outreach analytics.
Experience: 1 - 2 years
Experience: 1 - 2 years
- Conducted structured LinkedIn research averaging 440+ profiles per week, identifying decision-makers through LinkedIn Jobs postings and enriching lead data using Skrapp and LinkedHelper across Japan, Singapore, and Hong Kong markets. - Built a custom Python script to automate LinkedIn URL matching against master prospect lists — replacing manual lookups and significantly reducing data reconciliation time. - Produced weekly performance reports tracking outreach volume, reply rates, and appointment conversions, contributing to data-driven pipeline decisions across the research team.
Experience: 6 months - 1 year
Knowledgeable in Canva, Adobe Photoshop, and Lightroom
Experience: 1 - 2 years
Mainly used for storing lead information.
Experience: 1 - 2 years
Used this for scrapping lead emails, phone numbers, and company websites.
Experience: 1 - 2 years
Used as a backup for entering lead information.
Experience: 6 months - 1 year
Knowledgeable in Adobe Premiere Pro, CapCut, and Davinci Resolve
Experience: 1 - 2 years
Experience: 1 - 2 years
Experience: 1 - 2 years
ChatGPT, Claude, DeepSeek
Experience: 6 months - 1 year
Knowledgeable in HTML, CSS, Python
Onlinejobs.ph "ID Proof" indicates if "they are who they say they are".
It DOES NOT indicate skill level.
ID Proof scores are 0 - 99 with 99 being the best. It is calculated based on dozens of data points.
It's intended to help employers know who they're talking to is real, and not a fake identity.