Franzil

Amazon Product Reasercher

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Overview

Looking for part-time work (4 hours/day)

at $5.06/hour ($480.00/month)

Bachelors degree

Last Active

April 7th, 2024 (767 days ago)

Member Since

August 25th, 2023

Profile Description

Im ---------- ---------- you can call me Franz for short. My past work experiece are, Medical coding, Nurse, and Mortgage specialist.

I transitioned fro ---------- dical to Mortgage specialist due to financial incapabilities. As you would know nurses' salary here in philippines is not really competetive. And 1 of my reason also why I changed my carreer path is I want to focus in upskilling my skill and I really love to do analyzation oflike datas.

In mortgage we usually do is to build payment history through an automated ledger or excel spreadsheet. We just simply click and get the data of the customer, their payment schedules and finally check if they are delinquent or current on their acct. I analyze the payment and discrepancy on their account like the contractual payment vs the post petition due date after they enroll to bankeuptcy.

Then now, I recently completed the training course as an Amazon VA in doing product research and anlysis. I just really enjoyed that because as I said before I really love in doing analyzation. for example, in using KEEPA we normally use the analyzation like why the sales rank is going up and a possible reason is, the new offer or the sellers are going up giving us a strong competition in each other causing a low price that will affect the client's profit.

I am eager To this job and willing to learn new things. getting a knowledge and skills doesn't stop their even though you are skilled enough there will be the time that you need to upskill yourself.
You should hire me because im too confident that I will be able to get your products with a good investment with the help of our main access which are KEEPA, SAS, AMZ, jungle scout etc.

Top Skills

E-Commerce » Product Research

Experience: Less than 6 months

Real Estate » Title Processing

Experience: Less than 6 months

Real Estate » Mortgages

Experience: Less than 6 months

Other Skills

E-Commerce » Amazon » Seller Central

Experience: Less than 6 months

E-Commerce » Amazon » FBA

Experience: Less than 6 months

E-Commerce » Amazon » Keepa

Experience: Less than 6 months

Real Estate » Title Escrow

Experience: Less than 6 months

Basic Information

Age: 35

Gender: Male

Website: Sign Up with Pro Account to View

Address: Cavite, Cavite

Tests Taken: None

Government ID: Sign Up with Pro Account to View

“I'm very thankful for what OFS and Onlinejobs.ph has done for me!”

Sam Sapp

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“That has been a game changer for me”

- Jason Tonioli

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BENCHMARKS

Loading Time: Base Classes	0.0008
Controller Execution Time ( Jobseekers / Info )	0.0264
Total Execution Time	0.0278

GET DATA

No GET data exists

MEMORY USAGE

1,419,640 bytes

POST DATA

No POST data exists

URI STRING

jobseekers/info/2954940

CLASS/METHOD

jobseekers/info

DATABASE: onlinejobs (Jobseekers:$db) QUERIES: 28 (0.0167 seconds) (Show)

0.0003	`SELECT * FROM exrates WHERE rate_name = 'USD-PHP'`
0.0010	SELECT * FROM `jobseekers` WHERE `jobseeker_id` = '2954940' LIMIT 1
0.0025	SELECT * FROM `jobseeker_meta` WHERE `jobseeker_id` = '2954940'
0.0010	SELECT `j`., `jj`. FROM `jobseekers` `j` INNER JOIN `jobseekers_jobdata` `jj` ON `j`.`jobseeker_id` = `jj`.`jobseeker_id` WHERE `j`.`jobseeker_id` = '2954940'
0.0002	SELECT * FROM `jobseekers_trust` WHERE `jobseeker_id` IS NULL
0.0003	SELECT * FROM `jobseekers` WHERE `jobseeker_id` = '2954940' AND `is_private` = 1
0.0002	`SELECT * FROM employment WHERE jobseeker_id = '2954940' AND hired > -1`
0.0003	SELECT `employers`.`contact_name`, `employer_comment`.`employer_comment_id`, `employer_comment`.`employer_id`, `employer_comment`.`jobseekers_id`, `employer_comment`.`employer_date`, `employer_comment`.`employer_comment`, `employer_comment`.`lastmodified`, `employer_comment`.`comment_status` FROM `employers` LEFT JOIN `employer_comment` ON `employer_comment`.`employer_id` = `employers`.`employer_id` WHERE `employer_comment`.`jobseekers_id` = '2954940' AND `employers`.`deactivate` = 0 AND `employer_comment`.`comment_status` = 'ACTIVE' ORDER BY `employer_comment_id` DESC
0.0003	`SELECT * FROM skill_categories ORDER BY cat_order ASC`
0.0006	`SELECT * FROM skill_subcategories ORDER BY subcategory ASC`
0.0002	`SELECT * FROM jobseekers_jobdata WHERE jobseeker_id = 2954940 LIMIT 1`
0.0005	`SELECT * FROM jobseekers_skills WHERE jobseeker_id = 2954940 LIMIT 1`
0.0005	`SELECT * FROM jobseekers j, jobseekers_jobdata jj,jobseekers_skills js WHERE j.jobseeker_id = '2954940' AND j.jobseeker_id = jj.jobseeker_id AND jj.jobseeker_id = js.jobseeker_id`
0.0002	`SELECT * FROM employer_comment WHERE employer_id = ''`
0.0012	SELECT `facebook`, `manual_fb_score` FROM `jobseekers_trust` WHERE `jobseeker_id` = '2954940'
0.0024	SELECT * FROM `skills_categories` WHERE `is_approved` = 1 ORDER BY `name`
0.0023	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` = '2954940' ORDER BY `jsct`.`rate` DESC
0.0003	SELECT * FROM `jobseekers_trust` WHERE `jobseeker_id` = '2954940'
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 = ''`
0.0003	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 = ''`
0.0003	`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)

CONFIG VARIABLES (Show)

base_url	https://v1.stage.onlinejobs.ph
log_threshold	2
enable_profiler
index_page
uri_protocol	PATH_INFO
url_suffix
language	english
charset	UTF-8
enable_hooks	1
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composer_autoload	vendor/autoload.php
permitted_uri_chars	a-z 0-9~%.:_\=\-\+\@?\&
enable_query_strings
controller_trigger	c
function_trigger	m
directory_trigger	d
allow_get_array	1
log_path
log_file_extension
log_file_permissions	420
log_date_format	Y-m-d H:i:s
error_views_path
cache_path
cache_query_string
encryption_key	OdBUArjiWg9I7u7bvAwQ7Fu35VB1kzga
sess_driver	files
sess_cookie_name	ci_session
sess_expiration	2678400
sess_save_path
sess_match_ip
sess_time_to_update	300
sess_regenerate_destroy
cookie_prefix
cookie_domain
cookie_path	/
cookie_secure
cookie_httponly
standardize_newlines
global_xss_filtering	1
csrf_protection
csrf_token_name	csrf_test_name
csrf_cookie_name	csrf_cookie_name
csrf_expire	7200
csrf_regenerate	1
csrf_exclude_uris	Array ( )
compress_output
time_reference	local
rewrite_short_tags
proxy_ips
ojadmin	JpjZkQN5A8l@^L
salt	+UFjSAT49tPZLtmU2CIG2FYN7pRhgsWyLHgSyQa6k3I=
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meta	Array ( [facebook] => Array ( [input] => 1 [connect] => 2 [timezone] => 3 [url] => 30 [id] => 31 [photo] => 32 [name] => 33 [email] => 34 [review] => 35 ) [trust] => Array ( [government_id] => 4 [utility_bill] => 5 [selfie_photo] => 6 [profile_picture] => 7 [phone_number] => 8 [facebook] => 9 ) [verify] => Array ( [profile_picture] => 10 [government_id] => 11 [selfie_photo] => 12 [utility_bill] => 13 [address] => 14 [name] => 15 [reviewed] => 16 [government_group] => 28 [address_group] => 29 [mobile] => 38 ) [address] => Array ( [complete] => 17 [room_unit_no] => 20 [house_no] => 21 [street] => 22 [subdivision] => 23 [barangay] => 24 [city] => 25 [province] => 26 [postcode] => 27 ) [reviewed] => Array ( [similar_names] => 1 ) [name] => 18 [phone] => 19 [sms_verification_code] => 36 [resend_verification_code] => 37 [address_read] => 39 [first_name] => 100 [middle_name] => 101 [last_name] => 102 [edit] => Array ( [government_id_group] => 40 [address_group] => 41 [mobile_group] => 42 ) [salary_re_entry] => 103 [id_proof_recalibrate] => 104 [email] => 44 [mobile_verification_type] => 45 )
honeypot	Array ( [name_field] => my_name [enabled] => 1 )