Camille

Amazon Online Arbitrage Specialist | Product Researcher | SellerAmp & Keepa

Verified

mark as hired

Overview

Looking for full-time work (8 hours/day)

at $3.77/hour ($727.26/month)

Bachelors degree

Last Active

July 4th, 2026 (4 days ago)

Member Since

June 15th, 2024

Profile Description

• Amazon Online Arbitrage Specialist with experience sourcing profitable products for Amazon FBA sellers using SellerAmp SAS, Keepa, Amazon Seller Central, and IP Risk Analyzer.

• Skilled in ROI Analysis, Profit Margin Analysis, Buy Box Analysis, BSR Analysis, Product Eligibility Checks, Hazmat Checks, and IP Complaints Analysis for evaluating profitable sourcing opportunities.

• Experienced in analyzing Keepa graphs, sales history, pricing trends, competition levels, and Buy Box consistency to evaluate product performance and sales potential.

• Proficient in Manual Sourcing, Reverse Sourcing, Storefront Stalking, Spider Web Sourcing, and Keepa Product Finder to generate high-quality OA leads.

Top Skills

E-Commerce » Amazon » Keepa

Experience: 2 - 5 years

E-Commerce » Online Arbitrage

Experience: 2 - 5 years

E-Commerce » Amazon » Seller Amp SAS

Experience: 1 - 2 years

Other Skills

E-Commerce » Amazon » Seller Central

Experience: 2 - 5 years

Customer Support » Ecommerce » Shopify

Experience: 6 months - 1 year

Basic Information

Age: 31

Gender: Female

Website: Sign Up with Pro Account to View

Address: General Mamerto Natividad, Nueva Ecija

Tests Taken: IQ
Score: 110: DISC
Dominance: 56
Influence: 12
Steadiness: 21
Compliance: 11: English
C1(Advanced)

Government ID: Sign Up with Pro Account to View

“My business would not be able to go forward if it was not for them”

Gaurab - Adhikari

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“I'm working with a very very talented person.”

- Austin L. Church

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BENCHMARKS

Loading Time: Base Classes	0.0009
Controller Execution Time ( Jobseekers / Info )	0.0313
Total Execution Time	0.0329

GET DATA

No GET data exists

MEMORY USAGE

1,599,520 bytes

POST DATA

No POST data exists

URI STRING

jobseekers/info/3509435

CLASS/METHOD

jobseekers/info

DATABASE: onlinejobs (Jobseekers:$db) QUERIES: 29 (0.0198 seconds) (Show)

0.0004	`SELECT * FROM exrates WHERE rate_name = 'USD-PHP'`
0.0015	SELECT * FROM `jobseekers` WHERE `jobseeker_id` = '3509435' LIMIT 1
0.0028	SELECT * FROM `jobseeker_meta` WHERE `jobseeker_id` = '3509435'
0.0009	SELECT `j`., `jj`. FROM `jobseekers` `j` INNER JOIN `jobseekers_jobdata` `jj` ON `j`.`jobseeker_id` = `jj`.`jobseeker_id` WHERE `j`.`jobseeker_id` = '3509435'
0.0002	SELECT * FROM `jobseekers_trust` WHERE `jobseeker_id` IS NULL
0.0004	SELECT * FROM `jobseekers` WHERE `jobseeker_id` = '3509435' AND `is_private` = 1
0.0015	`SELECT * FROM employment WHERE jobseeker_id = '3509435' AND hired > -1`
0.0003	`SELECT employers.contact_name, ec.employer_id, ec.jobseekers_id, ec.is_jobseeker_reply, ec.employer_date, ec.employer_comment, ec.lastmodified FROM employers LEFT JOIN employer_comment ec on employers.employer_id = ec.employer_id WHERE ec.jobseekers_id = '3509435' AND employers.deactivate = 0 ORDER BY employer_comment_id DESC`
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0.0002	`SELECT * FROM jobseekers_jobdata WHERE jobseeker_id = 3509435 LIMIT 1`
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0.0005	`SELECT * FROM jobseekers j, jobseekers_jobdata jj,jobseekers_skills js WHERE j.jobseeker_id = '3509435' AND j.jobseeker_id = jj.jobseeker_id AND jj.jobseeker_id = js.jobseeker_id`
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0.0002	`SELECT * FROM employer_comment WHERE employer_id = ''`
0.0011	SELECT `facebook`, `manual_fb_score` FROM `jobseekers_trust` WHERE `jobseeker_id` = '3509435'
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0.0029	SELECT `jsct`., `jsct`.`id` as `jsct_id`, `sct`. FROM `jobseekers_skills_categories` `jsct` LEFT JOIN `skills_categories` `sct` ON `sct`.`id` = `jsct`.`skill_category_id` WHERE `sct`.`is_approved` = 1 AND `jsct`.`jobseeker_id` = '3509435' ORDER BY `jsct`.`rate` DESC
0.0003	SELECT * FROM `jobseekers_trust` WHERE `jobseeker_id` = '3509435'
0.0002	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0003	SELECT * FROM `testimonial_videos` WHERE `placement` = 1 OR `placement` = 0 ORDER BY RAND()
0.0003	SELECT * FROM `testimonial_videos` WHERE `placement` = 2 OR `placement` = 0 ORDER BY RAND()
0.0003	`select * from teasers`
0.0003	SELECT * FROM `employers` WHERE `employer_id` IS NULL LIMIT 1
0.0002	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0002	SELECT * FROM `employers` WHERE `employer_id` IS NULL LIMIT 1
0.0002	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0002	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0002	`SELECT * FROM notes WHERE employer_id = '0'`

HTTP HEADERS (Show)

SESSION DATA (Show)

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honeypot	Array ( [name_field] => my_name [enabled] => 1 )

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HTTP_X_FORWARDED_FOR	216.73.216.196
HTTP_DNT

Camille

Amazon Online Arbitrage Specialist | Product Researcher | SellerAmp & Keepa

Overview

Profile Description

Top Skills

E-Commerce » Amazon » Keepa

E-Commerce » Online Arbitrage

E-Commerce » Amazon » Seller Amp SAS

Other Skills

E-Commerce » Amazon » Seller Central

E-Commerce » Product Analysis

E-Commerce » Product Research

E-Commerce » Product Sourcing

Customer Support » Ecommerce » Shopify

Basic Information