Alejandro

Amazon Product listing and researcher

With Timeproof

mark as hired

Overview

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

at $5.00/hour ($960.00/month)

Bachelors degree

Last Active

March 30th, 2026 (40 days ago)

Member Since

March 30th, 2026

Profile Description

Detail-oriented and results-driven Amazon Virtual Assistant with a strong focus on product research, listing optimization, and account management. I have experience in identifying winning products, conducting keyword research, and creating high-converting product listings that improve visibility and sales performance. Skilled in using tools for market analysis, competitor research, and inventory tracking, I ensure efficient and organized workflow. I am also knowledgeable in customer service support, order processing, and handling seller central tasks with accuracy and professionalism. Committed to delivering quality results, meeting deadlines, and continuously learning new strategies to stay competitive in the eCommerce space. I am highly adaptable, reliable, and ready to help grow and scale your Amazon business.

Top Skills

Customer Support » Sales Support » Food Service

Experience: 1 - 2 years

Dedicated customer service professional with experience in the food service industry, committed to delivering excellent dining experiences. Skilled in handling customer inquiries, taking orders accurately, and ensuring timely service in fast-paced environments. I maintain a friendly and professional attitude while resolving concerns efficiently to ensure customer satisfaction. Experienced in teamwork, multitasking, and maintaining cleanliness and food safety standards. I am reliable, detail-oriented, and focused on creating positive interactions that encourage repeat business and build strong customer relationships.

Professional Services » Forex Trading » Technical Analysis

Experience: 1 - 2 years

Experienced Forex trader specializing in technical analysis, focusing on price action, market structure, and key indicators to identify high-probability trade setups. I analyze charts across multiple timeframes using support and resistance, trendlines, and indicators such as RSI, MACD, and moving averages. Skilled in risk management, trade execution, and maintaining discipline under market conditions. I aim to capitalize on market trends while minimizing risk through strategic entry and exit points. With a consistent and data-driven approach, I continuously refine my strategies to improve accuracy and profitability in the Forex market.

Virtual Assistant

Experience: 6 months - 1 year

Other Skills

E-Commerce » Product Research

Experience: 6 months - 1 year

I specialize in Amazon product research, focusing on identifying high-demand, low-competition products with strong profit potential. I use proven strategies and tools to analyze market trends, customer demand, and competitor performance to find winning products. I evaluate key metrics such as sales volume, pricing, reviews, and profitability to ensure smart product selection. I also conduct keyword research to support listing optimization and improve product visibility. With a detail-oriented and data-driven approach, I help sellers minimize risk and maximize returns by choosing the right products for their Amazon business.

Basic Information

Age: 39

Gender: Male

Website: Sign Up with Pro Account to View

Address: Dasmariñas, Cavite

Tests Taken: None

Government ID: Sign Up with Pro Account to View

“For years, I maxed out my hours, got burnt out, and the quality of my work would start to go down. I decided to take the leap, hire correctly, and now it frees up my time to focus on growing the business.”

Tyler Gies

SEE MORE REAL RESULTS

“That has been a game changer for me”

- Jason Tonioli

see more real results

BENCHMARKS

Loading Time: Base Classes	0.0008
Controller Execution Time ( Jobseekers / Info )	0.0248
Total Execution Time	0.0261

GET DATA

No GET data exists

MEMORY USAGE

1,585,648 bytes

POST DATA

No POST data exists

URI STRING

jobseekers/info/4875413

CLASS/METHOD

jobseekers/info

DATABASE: onlinejobs (Jobseekers:$db) QUERIES: 29 (0.0156 seconds) (Show)

0.0003	`SELECT * FROM exrates WHERE rate_name = 'USD-PHP'`
0.0011	SELECT * FROM `jobseekers` WHERE `jobseeker_id` = '4875413' LIMIT 1
0.0025	SELECT * FROM `jobseeker_meta` WHERE `jobseeker_id` = '4875413'
0.0010	SELECT `j`., `jj`. FROM `jobseekers` `j` INNER JOIN `jobseekers_jobdata` `jj` ON `j`.`jobseeker_id` = `jj`.`jobseeker_id` WHERE `j`.`jobseeker_id` = '4875413'
0.0002	SELECT * FROM `jobseekers_trust` WHERE `jobseeker_id` IS NULL
0.0003	SELECT * FROM `jobseekers` WHERE `jobseeker_id` = '4875413' AND `is_private` = 1
0.0002	`SELECT * FROM employment WHERE jobseeker_id = '4875413' 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 = '4875413' AND employers.deactivate = 0 ORDER BY employer_comment_id DESC`
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0.0003	`SELECT * FROM jobseekers_jobdata WHERE jobseeker_id = 4875413 LIMIT 1`
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0.0006	`SELECT * FROM jobseekers j, jobseekers_jobdata jj,jobseekers_skills js WHERE j.jobseeker_id = '4875413' 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 = ''`
0.0002	SELECT `facebook`, `manual_fb_score` FROM `jobseekers_trust` WHERE `jobseeker_id` = '4875413'
0.0023	SELECT * FROM `skills_categories` WHERE `is_approved` = 1 ORDER BY `name`
0.0021	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` = '4875413' ORDER BY `jsct`.`rate` DESC
0.0003	SELECT * FROM `jobseekers_trust` WHERE `jobseeker_id` = '4875413'
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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last_page	https://v1.stage.onlinejobs.ph/jobseekers/info/4875413
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SERVER_NAME	v1.stage.onlinejobs.ph
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SCRIPT_NAME	/index.php
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SERVER_PROTOCOL	HTTP/1.1
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