Having an experience as an HR person, the post of the HR Director would give me the opportunity to make recruitment plans and policies keeping in mind the target of the company's projects and ultimately focus on effectiveness and efficiency of the employees of the various department to work together for
the final goal of the company.
Not exact matches
The
company produced 2,020 Model 3s in the
final week
of the first quarter, short
of its
goal of producing 2,500 Model 3 sedans weekly by the end
of March.
The project is detailed in the contract as a seven step process — with Kogan's
company, GSR, generating an initial seed sample (though it does not specify how large this is here) using «online panels»; analyzing this seed training data using its own «psychometric inventories» to try to determine personality categories; the next step is Kogan's personality quiz app being deployed on Facebook to gather the full dataset from respondents and also to scrape a subset
of data from their Facebook friends (here it notes: «upon consent
of the respondent, the GS Technology scrapes and retains the respondent's Facebook profile and a quantity
of data on that respondent's Facebook friends»); step 4 involves the psychometric data from the seed sample, plus the Facebook profile data and friend data all being run through proprietary modeling algorithms — which the contract specifies are based on using Facebook likes to predict personality scores, with the stated aim
of predicting the «psychological, dispositional and / or attitudinal facets
of each Facebook record»; this then generates a series
of scores per Facebook profile; step 6 is to match these psychometrically scored profiles with voter record data held by SCL — with the
goal of matching (and thus scoring) at least 2M voter records for targeting voters across the 11 states; the
final step is for matched records to be returned to SCL, which would then be in a position to craft messages to voters based on their modeled psychometric scores.
And here's the
final guess: this was a rubbish game, that was robbed even
of being an indulgently, grandiosely rubbish game by a rubbish
goal scored at exactly the worst time by a player who doesn't even particularly seem to enjoy his own
company these days.
In its
final fight to survive, the De Lorean Motor
Company was optimized to achieve profitability selling 4000 cars per year — well below the initial 10,000 - unit break - even plan and a fraction
of its founder's absurd 30,000 per annum
goal.
In my opinion, law is important, however it is not the
final goal, but only one tool, beside many others, which makes an insurance
company compliant to the applicable market provisions, standards, and needs
of clients.
Our team
of experienced life insurance advisors will compare the information from all
of the
final expense
companies and present it to you, our
goal is to ensure that your needs are met.
The project is detailed in the contract as a seven step process — with Kogan's
company, GSR, generating an initial seed sample (though it does not specify how large this is here) using «online panels»; analyzing this seed training data using its own «psychometric inventories» to try to determine personality categories; the next step is Kogan's personality quiz app being deployed on Facebook to gather the full dataset from respondents and also to scrape a subset
of data from their Facebook friends (here it notes: «upon consent
of the respondent, the GS Technology scrapes and retains the respondent's Facebook profile and a quantity
of data on that respondent's Facebook friends»); step 4 involves the psychometric data from the seed sample, plus the Facebook profile data and friend data all being run through proprietary modeling algorithms — which the contract specifies are based on using Facebook likes to predict personality scores, with the stated aim
of predicting the «psychological, dispositional and / or attitudinal facets
of each Facebook record»; this then generates a series
of scores per Facebook profile; step 6 is to match these psychometrically scored profiles with voter record data held by SCL — with the
goal of matching (and thus scoring) at least 2M voter records for targeting voters across the 11 states; the
final step is for matched records to be returned to SCL, which would then be in a position to craft messages to voters based on their modeled psychometric scores.
Finding a job search buddy will help you stay accountable to your job search
goals and will help remind you
of your
final objective: finding a good job at a
company you love.
Professional Experience ABC Debt Relief (City, ST) 12/2006 — 11/2011 Client Service Manager • Responsible for overseeing daily operations
of a 35 Account Manager call center ensuring effective operations • Recruit and train new sales and customer service employees in industry best practices and
company policies • Strictly enforce compliance with all applicable laws, industry regulations, and corporate protocols • Provide exceptional customer service and professional guidance in the area
of debt management, credit, and bankruptcy • Maintain detailed monthly reports for management concerning budgets, monthly projections, and quarterly
goals • Responsible for performance appraisals, deficiency warnings, and conflict resolution for employees • Review and manage all BBB and Attorney General complaints determining appropriate next steps • Monitor department productivity with inbound and outbound calls providing feedback to team leads and supervisors • Author and lead presentations at meetings for clients, employees, and senior management • Train team leads and supervisors in laws governing credit reporting and debt settlement such as (FDCPA) Fair Debt Collections Practices Act and the (FCRA) Fair Credit Reporting Act and (FTC) Federal Trade Commission regulations • Set and strictly enforce budget for the payroll
of both salaried and hourly employees • Responsible for
final approvals for payment refunds issued to the client • Assist with Debt Tracker and the Debt Manager and negotiate with creditors to reduce client
Geographic Information System Analyst — Duties & Responsibilities Serve as geographic system analyst responsible for major nationwide mapping and assessment projects Recruit, train, and direct junior team members ensuring they understand the brand and corporate protocols Set and strictly adhere to departmental and project budgets and schedules Maintain comprehensive records detailing project schedules, geographic information, and other pertinent data Consistently meet and exceed
company goals through strong managerial skills Complete all phases
of cartographic mapping and database management on 25 Digital Flood Oversee Insurance Rate Map countywide studies in association with FEMA's map modernization process Enhance PBS&J's Floodmap Desktop version 9.3 with an automated cross-section annotation process Create FMD tools and a nationwide automated public land survey system attribution tool Assist in 2006 Post-Hurricane Katrina flood assessment with the Army Corps
of Engineers in New Orleans Create
final project maps portraying environmental impact assessment calculations associated with the Saratoga, Wyoming well field and transmission line environmental assessment Design
final project maps for a hydrologic assessment
of County Road 204 in Garfield County, Colorado Provide GIS / data analysis services on a sign asset management project for the Colorado Department
of Transportation Build and strengthen relationships with key clients, partner agencies, and community leaders Represent
company brand with poise, integrity, and positivity