We are a social trading platform for the financial trading industry and would like help with creating a big data analytics solution. The project has two parts: 1) Setting up the right infrastructure such as a Hadoop or NoSQL database, and 2) Building visualizations using the data that will be collected.

The system would need to collect data from our software and other external sources including financial sources, storing the data to a big data DB like MongoDB/Hadoop, building analytics widgets and tools for reporting and predictive analysis.

Essentially we are looking for an expert to provide analytics from social and trading data. In other words, we  are looking to take our databases - Mysql/Linux (TS Social Profile, activities, and contacts) and My SQL/Windows (trading transactions, and traders stats), and other databases (CRM, ERP, Social Media, and public data) and create a data warehouse. From this data, you will create data widgets, online reports, and visualizations.  The widgets can be stand alone, be grouped with multiple widgets, or embedded on pages of other sites. This will all be deployed in our infrastructure

Looking for someone who is has expertise in Big Data Analytics, either MongoDB, Hadoop, and PHP. We are open to any technology stack as long as it fits into our objectives. We are looking to see what the Expert recommends in terms of technology and what is the best approach to undertaking our project.

In your proposal may you please provide a budget and how long in terms of hours this project will take to complete. 

We are looking for final deliverable 2-4 weeks. In your proposal please break down the effort into multiple milestones and the cost for each.  We will share additional information with the right candidate.

Business Intelligence/Analytics Developer

 Requirements:

· Several years of experience using two or more BA and Reporting tools (Crystal, Jasper, Pentaho,
  BIRT, SAP Business Objects) in delivering high quality, fairly complex reports, analytics view 
  and dashboards

· Demonstrable experience in all three aspects of Reporting capabilities offered by BA platforms - 
  report design, publish and delivery

· Experienced in creating ad-hoc and business reporting capabilities using semantic layer such as   those found in  BobJ Universe and Pentaho Metadata

· Experienced in implementing sophisticated access control and security on both delivered report 
  and content level

· Should be able to integrate reporting functionality with web applications written in Java. Experience 
  developing web based Java applications.

· Strong in using SQL and analytic functions, and proven ability delivering multi-data source reports

· Must have worked in developing reports and analytical solutions in a platform that supports
  tens of report types and hundreds of end users

· Desirable to have production deployment and administration experience so as to help the  
 BA platform remains highly available, scalable and performance

· Desirable to have experience in using various query/visualization platforms such as Qlikview 
  and Tableau

· Past experience in performance optimization of BA platforms is highly desirable

· Ability and strong desire to learn new technologies and methodologies as required

Looking to be filled as soon as possible. 

We are an integrated system design company based in UK. We provide a communication platform that enables the measurement and control of energy consumption for the metering and lighting markets, helping to reduce energy losses.

We want to open up new revenue streams by applying analytics to the data streams passing through our platform, and selling the resulting BI to our customers.

We have sample data, and a list of ~10 reports which we believe customers would buy.

We need a someone with an analytics background to take our raw sample data and generate professional, visually-appealing reports in PDF format.  We will use these PDFs as sales tools in deciding whether to proceed with the report generation revenue stream.

An example of the type of report we are after would be based around electricity supply reliability and would incorporate indices such as SAIFI, SAIDI, CAIFI, CAIDI and MAIFI.  We can provide full report briefs to the successful candidate.

The raw sample data is in the form of thousands of small JSON files containing synthetic meter identifiers, timestamps, interruption histories and other reading data.  The sample data is deliberately incomplete to simulate the type of interruptions seen in complex, in-field systems.  The sample data may require preprocessing, validation, etc.  It will likely be necessary to collaborate with us on how gaps in the data set should be handled and presented, what additional data we should look at gathering to support the analytics process, what additional useful reports we might be able to generate from the sample data, etc.

We are expecting as deliverables:

• PDF reports matching the individual report briefs generated from the raw data
• Scripts/code for processing the raw data into PDF reports
• Instructions on running the scripts/code

We have no particular technology requirement, but would prefer to be able to rerun the scripts/code without requiring expensive/complex software on our part.  i.e. We would prefer solutions in freely available programming languages such as Python, R, Octave, ...

There is potential for an ongoing relationship.  We envisage a process whereby we ask the successful candidate to:

• Analyse requirements for first report given detailed spec and sample data
• Quote for first report
• Deliver first report
• Cyan to assess delivery of first report
• Step and repeat for remaining ~10 reports

We are national distributor of staircase & railing products that sells to: Millwork Suppliers, Stair Installation Companies, Home Builders, Remodelers & Contractors, Homeowners and more. We need to have our customer list segmented by business/consumer type. We are building a new marketing strategy/plan for 2016. We are looking for an analysis of the data to determine prospect profiles, affinities, and action steps for execution of marketing. We use SAGE Mas for our CRM, We would like to segment our customer base across various dimensions, including the following:

Repeatability of the customer

Volume and orders

Revenue generated and Loyalty (number of years with you)

Geographical Location

Company Size or Revenue

Types of Products

Here are the categories of our customers divided by our three divisions . 

House of Forgings - National Distributor-Stair & Railing Products 

Customers: 

Stair Builders/Installers 

Millwork-Lumber Dealers-Distributors 

Custom Home Builders 

Contractors 

Flooring Companies 

Cabinet/Trim&Moulding Companies 

Flooring Companies 

Iron Fabricators 

Architects 

Interior Designers 

Homeowners 

Ironwood Connection - Three Texas Locations-Stair & Railing Products parts sales & installation 

Customers: 

Stair Builders/Installers(parts sales only) 

Production Home Builders 

Custom Home Builders 

Contractors 

Cabinet/Trim&Moulding Companies 

Flooring Companies 

Iron Fabricators 

Architects 

Interior Designers 

Homeowners 

Cheapstairparts.com <http://cheapstairparts.com/> – E-commerce Stair & Railing Products parts sales 

Stair Builders/Installers 

Flooring Companies 

Cabinet/Trim&Moulding Companies 

Interior Designers 

Homeowners

Ideally we need someone that can take our CRM customer list and segment by the above types and also propose other ideas to find patterns across these segments based on some of the discussion above.

I would like to test the hypothesis of whether the Earth's electromagnetic, solar, geomagnetic and cosmic waves have an impact on human behavior.  The impact of solving this problem is that it could have predictive power on our collective global consciousness.

I am pursuing this project out of personal curiosity and will be funding this myself.

As some background, studies have shown that changes in the intensity of geomagnetic activity appear to alter brainwave responses. This makes sense intuitively because the brain is a sensitive electromagnetic organ.  Human rhythms and behaviors are synchronized with solar and geomagnetic activity.  For example, it is established that the Earth and ionsphere generates a series of resonant frequencies that directly overlap with the same frequencies of the human brain and cardiovascular system.

Given that the Earth's and cosmic EM waves are constantly changing, I am wondering how those changes impact human behavior.  One study I've read looked back into history from the 1700s and suggested that the number of wars, revolutions, etc. correlated with the number of sunspot activity.

Without divulging my data sets, I would like to test whether changes in the Earth EM waves have signalling power on human consciousness.  I have a time series data set going back several years that measures a) certain EM waves and b) human behavior & sentiment.  Both sets of data are numerical and can be converted to CSV.  I would be happy to send the example data after I have selected the individual.

The initial deliverable is to test the hypothesis using historical data.  The second phase would be to build an automated engine which will take in live data.  The third phase would be to include more factors.

I am seeking an indvidual who is strong in mathematical and statistical analysis, who has experience doing predictive analytics and forecasting using a large time series data, and who is creative and a self-starter.  

We offer a complete range of structural steel fabrication services from estimating and engineering to fabrication and installation. By integrating all these services under one roof, we are better able to control the production process and the quality of our steel structures, while staying on time and within budget. 

We would like to build a SaaS platform that will have three major components: Dashboarding, Workflow Automation, and Scheduling.  We are looking for a lean solution.

PHASE 1: DASHBOARDS

We would like to create the following dashboards from data to pulled in from our in-house software:

• Backlog by department
• Cashflow projections
• Cost vs estimate by job
• Projected gross profit
• Risk predictability
• Unit rates

Some of these dashboards would be updated in real-time, while others with a daily or weekly frequency. The dashboards will be accessed by 10 users.

We would need someone to work with us to develop wireframes and then the actual dashboards. We would like a system that would allow us to add additional dashboards as new questions come up.

Please describe your experience in building dashboards in the past and what technology stack you would use.

PHASE 2: WORKFLOW AUTOMATION AND REPORTING

We have information from various departments that we need to share we each other. Currently we use Maestro for accounting, FabTrol for Estimating & Steel Purchase & tracking shipment. We also use Tekla Detailing software for our steel detailing/drafting to produce shop drawings and download information for CNC files as well as download to FabTrol. Our problem is we enter the same information various in multiple software’s and waste a lot of time gathering information. This information is stored in many locations and is very hard to retrieve and get back useful information. We require a system that allows us to enter information the 1st time and share it with the right people, and automatically create reports that puts the right data in the face of the those who need it. We are currently trying to use SharePoint to pull us all together, however we are open to alternate solutions.

PHASE 3: SCHEDULING

We are working with 3 departments working on multiple jobs to synchronize delivering jobs on time:

1. Steel detailing/drafting
2. Steel fabrication
3. Steel Installation

The start date of steel install is constantly changing as a result of site conditions beyond our control. Our goal is to be able to manage our departments schedules in order to be able to deliver our steel on time for the site installation date.

We have tried tracking in Microsoft Project and find it too difficult. We have also tried making excel spreadsheet but finds it takes too long to input the necessary information and make changes which are happening on a daily basis. We require this management tool to be giving us updated information as things are changing.  We also need the ability to assign resources to each department and monitor areas of concern.

Please propose how you would tackle this project and what additional information your require to provide some kind of a ballpark estimate in hours.  We would like to know your past experience performing similar work.  Please also provide details of the technology stack that you would use.

Needs as follows:

(1)    Big Data Architecture – deep understanding of Big Data Solutions. Ability to conceptualize solutions to the architecture to support: (a) Change Data Capture; (b) PII; (c) Security; (d) MultiTenancy; (e) Multi Factor Authentication... Preferably experienced on the MS Azure platform. Experience with Microsoft HDInsight.

(2)    Ability to professionally represent BDSS to the Architecture Group.  Be able to persuade as well as compromise to get buy-in from the Arch Group.

(3)    Do Hands on work.

Preference will be given to those living in East Coast of United States especially in Boston, Ma area.

(1) and (2) are a MUST, and (3) is more of a very nice to have.

We are a marketplace for scientific collaboration, where researchers can order experiments from the world’s best labs. Our mission is to improve the quality and efficiency of scientific research by using market-based incentives to promote collaboration between scientists.

I’m interested in a market sizing exercise to support general business goals including fundraising efforts. Specifically I’d like to size the following markets: 

1) overall R&D market (i.e. how much is spent on R&D in total). I’d like one breakdown by geography/region and one breakdown by research phase (discovery/research vs development). 

2) contract research market (i.e. how much is spent externally or via outsourcing). The CRO market is one part of this but really just applies to the bio/pharma industry so definitely under-estimates the market size. Again I’l like breakdowns by geography and type/phase of spend.  

The kind of expertise you require :Market research

Here are some sample reports that may be valuable: 
http://www.contractpharma.com/issues/2012-06/view_features/resizing-the-global-contract-rd-services-markethttp://www.ibisworld.com/industry/contract-research-organizations.htmlhttp://www.prnewswire.com/news-releases/contract-research-organization-cro-market-2019-global-forecasts-in-new-research-reports-287797141.htmlhttp://www.harriswilliams.com/sites/default/files/industry_reports/2014.4.17_contract_research_organizations.pdf

BEN Energy is the leading provider for customer intelligence software. We support utilities to generate proprietary knowledge on individual customer level to allow for targeted communication. BEN Energy was found in 2011 in Zurich, Switzerland and works with 25 utilities in Germany and Switzerland.

The challenge:

Increasing churn rates reduce sales and force utilities to spend a lot of money on the acquisition of new customers. Budgets for customer retention programs are limited. The challenge is to identify customers who are at risk to focus financial (resources).

Who we are looking for:

We are looking for a data scientist who has performed churn analyses for various industries, ideally also for the utility industry. The data scientist should be familiar with the integration of external statistical and geographical data.

The data:

We provide a csv with addresses (street, zip-code, and place), gas consumption, products, contract terms and more. Data can be downloaded from our server (password-secured).

The outcome:

The outcome is a csv with churn probabilities for each customer. Besides, we would like to have a documentation of the algorithm in R and a documentation of your approach und the validity measures in PPT/Word. The documents can be uploaded via our server.

Dear Applicants,

 

This aspect of our call center software product is regarding “the dialer.” We are updating our algorithm to make it even more efficient. If this project is a success, this project will only represent one of over 60 projects, which we are planning throughout 2016, which you will also be involved in.

 

After close examination of various resumes, we have narrowed the scope and you will be selected to be part of a startup project, which I hope we can grow and build together. I will most likely hire 3 applicants and determine which applicant is best. Here is the project.

 

Project –Multi-Layered Dialer for Outbound Telemarketing

 

We currently have designed and built a highly effective predictive dialer. We are seeking to build the next generation dialer.

 

Scenario:

 

1)  Call Type: Outbound sales call, lead generation or survey, etc.

2)  Two groups of Sales Agents . Telephone Operator.

3)  Team “A” are Lead Generators.

4)  Team “B” are the Closers.

5)  Once Team “A” identifies a caller and gets an agreement to listen to a pitch, Team “A” transfers the call to Team “B”. 

 

Predictive Dialer Objectives:

 

Reduce the idle time between calls down to less than 5 seconds. 

 

Current Definitions 

 

1)  Calls: (all dialed and busy call including; faxes, voicemails and other automated recordings)

2)  Connections: (all calls that result in a connection to faxes, voicemails or automated recordings)

3)  Contacts: (all contacts made to a live person) 

4)  Right Person Contacts (RPC): (only the party that was intended to be reached was reached)

5)  Lead Generator: (an Agent / phone operator that is filtering a call by confirming the Right Person is on the phone prior to either transferring the call to a Closer (if they are the Right Person Contact (RPC) or disposing of the call if they are not the (RPC).

6)  Closer: a Senior Agent / Senior Phone Operator that is transferred to a screened call from a Lead Generator.

7)  Talk Time: (only the actual amount of time the Lead Generator and or Closer is connected via phone to a customer.

8)  Idle or Ready time: (the amount of time either a Lead Generator or a Closer is waiting to be connected to a call. The origin point is always at the start of login and at the end of each Wrap up.   

9)  Wrap up time: the amount of time after the Lead Generator or the Closer has disposed of a call (hang-up). The Wrap up process is to select an appropriate description from a list, describing the call result. Once the Lead Generator or Closer has chosen a result, they are automatically transitioned to either, “Idle” or “Ready Mode” (means the same thing) until a new call is transferred to them. 

 

Basic minimum requirements:

 

Predictive Dialer Objectives 

 

Idle or Ready time:  4 second average max per call 

 

Variables to Consider 

 

1) Campaign: All campaigns require different varying amounts of time on the phone to sell or to obtain the objective, whether it is setting an appointment to visit a client, selling a product on the first call, getting a survey completed, etc. It is possible that we will have various campaigns running at the same time so that a Sales Agent can handle a call for fundraising immediately after selling cosmetics on the previous call.

2) Sales Agents: All agents be it Closer or Lead Generators are going to be slower or faster in closing or disposing of a call.

3) Day or Week, Time of Day: Penetration (answer rate) varies with the time of day so during evening and weekends, we will have more people answering the phone meaning less voicemails, fax – connections alternatively days time means most people are working and the answer rate is low and so the dialing must increase to a faster rate to make up for the lower answer rate.

4) Customer List, Age: Typically answer rate for older people 60 years and older is best during the day and worst at night.

5) Wrap up: Each campaign has a slightly different Wrap up screen and while most are short, some can be longer so you must account for this as well.

6) Manual Preview Call Variable: We have 2 speeds right now. Predictive Calling and Manual Preview Calling. We only use the Manual Preview once a sale is done and to confirm an appointment and the Sales Agent want to make this pre-schedule call manually so it will be thrown in the mix. You will have an average amount of time that a Manual Preview follow up call may take including Wrap up.