381 Projects that match your criteria

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BI Dashboard with Tableau, Qlik or PowerBI: Phase 1

We are a global consultancy focused on marketing and media. We seek to create a dynamic dashboard using Tableau, Qlik or PowerBI to display the metrics from the data sources indicated below:

  • Event Real-time budget: Quickbooks
  • Budget vs. Actual spend: Quickbooks
  • Sales Forecasts: Salesforce
  • Pipeline via Salesforce: Salesforce
  • Real-time P&L: Salesforce, Quickbooks
  • Projections vs Budget: Salesforce, Quickbooks
  • AW360 Weekly: Google Analytics
  • Registration Status: CMS
  • Social Snapshot: Facebook, Twitter, Instagram, LinkedIn
  • Cashflow: Quickbooks

Salesforce Fields to be Used

  • Account.Name (Client)
  • Account.BillingState
  • Account.BillingCountry
  • Amount
  • CloseDate
  • CreatedDate
  • IsClosed
  • IsWon
  • LastModifiedDate
  • LeadSource
  • Name
  • Owner.Name (Sales Rep)
  • StageName
  • _BATCH_ID_

Quickbooks Integration

Currently running On-Premise Server with Client Apps connecting. Would potentially consider a move to QuickBooks Online if the availability of Out of the Box connectors with our whatever our eventual BI Platform, helps to sway us in that direction.


Our budget for phase 1 is approximately $5,000.


Please respond with your preferred technology for dashboarding, your experience with it, its licensing costs and ballpark estimate in hours for this project (you can provide a broad range if estimation is not possible).

Media and Advertising
Business Intelligence

$75/hr - $150/hr

Starts Jul 02, 2019

25 Proposals Status: IN PROGRESS

Client: S********* ********

Posted: May 20, 2019

SAS to R Conversion of Pricing Optimization Models

We are a Fortune 500 looking for two data scientists who is interested in learning about better ways for food chains / restaurants / and the CPG industry in general with optimizing pricing using algorithms. This project is already underway and the current models are written in SAS. The team needs your help to convert the models into R.

We are looking for someone who not only knows how to convert SAS to R but someone who is curious about learning the math behind the models and is an analytical strategic thinker to figure out the best way to make the transition, offer suggestions for improvement and hope that you’ll work with us on an ongoing basis to develop the capability over time. Our company has had many other companies across different industries interested in using this offering, so it would give you access to a number of high profiled clients if the initial phase of work goes well.

The project would require full-time consulting and potentially run a couple months (~6 months with the potential for extension). US resources are preferred but we are open to international since this would be a remote role.

Please provide:

1. the resume of the resource that will be assigned to this project

2. your familiarity with SAS, R, SPSS and pricing analytics

3. your availability in hours per week

4. the location of the remote resource

Professional Services
Pricing and Actuarial

$75/hr - $200/hr

18 Proposals Status: CLOSED

Net 60

Client: C*******

Posted: Apr 17, 2019

Deep Learning Model Maintenance

We are an online marketplace and data source for oilfield water data. In the past year we have started to analyze satellite imagery for oilfield water related features to include these results in our GIS map and marketplace products. This project is to help maintain an existing model developed and will be awarded to the same contractor.

Energy and Utility
Deep Learning

$10,000 - $20,000

Starts Apr 01, 2019

1 Proposal Status: IN PROGRESS

Client: S************ ****

Posted: Apr 01, 2019

Email Classification Using Machine Learning (Phase 1)

This project entails scoping and beginning work on an email categorization project. The objective is to obtain a clearer picture of data processing/structuring needs, summarizations and initial steps of feature engineering.

Machine Learning


Starts Mar 26, 2019

1 Proposal Status: IN PROGRESS

Net 30

Client: A****** ***** ********

Posted: Mar 26, 2019

Next Best Action in Financial Planning

We are an Experfy client with ~$25 billion in assets under management. In our roles as financial advisors and planners, we collect customer preferences such as risk tolerance, retirement goals and legacy considerations, among others, to determine how to meet and track those goals.

Here is our process of determining those goals, prioritizing them and tracking them: http://bit.ly/2WaHzu2

If you want to take a deeper dive into our platform, you can watch this video: http://bit.ly/2CzFrV9

Our 18,000 financial advisors are asking subjective questions and often introducing their own bias into this process.

We have gigabytes of data in CSV format pulled out of different systems ready for you to analyze. What the metadata looks like is attached below as an Excel file.

In your proposal, please respond to the following:

  1. In which parts of our customer journey does Next Best Action makes sense? Please spend some time thinking about this question after you have studied our current customer journey.
  2. What does your discovery process look like?  What are the different milestones in such a project?
  3. Why is your background the right one for this kind of project?
  4. Are you open to 2-3 onsite meetings in California for scoping and providing the results? We would pay for the travel.
  5. How hours this would take from start to finish, if you had to give a ballpark estimate?
Financial Services
Financial Planning & Analysis
Machine Learning

$100/hr - $300/hr

21 Proposals Status: CLOSED

Net 30

Client: E*******

Posted: Mar 22, 2019

Senior Data Engineer/Scientist - Search

PwC established New Ventures to invest in new business models that leverage our knowledge and build solutions for the growing digital market.

New Ventures identifies, develops, and commercializes technology-enabled solutions that deliver PwC value, knowledge, and experience to our clients. Each new solution focuses on data-driven platforms or other IP-based solutions that leverage emerging technologies and new business models. Through the process of building new solutions, we foster a culture of innovation within the Firm, extend brand relevance in the market, and generate new revenue.

Position/Program Requirements

Minimum Year(s) of Experience: 5 in software development.

Minimum Degree Required: Bachelor's degree in Engineering, Computer Science or related field.

Role responsibilities

Provide architecture guidance based on use cases, business requirements, availability, data model, and query requirements

Design and implement solutions related to Elasticsearch topics, such as relevancy, boosting, function scores, data modeling, percolator, or other Elasticsearch platform requirements.

Support developers to successfully integrate with Site Search or App Search APIs. This can include assistance modifying the search experience and implementing search logic.

Required skills:

Demonstrates intimate knowledge and/or a proven record of success in modern software engineering approaches, technologies, and tools:

- Cloud-ready architectures utilizing infrastructure and platform cloud services for AWS, GCP, or Azure

- Event-driven and microservices architectures

- Big Data / Analytics / AI tools 

- Rapid-prototyping workflows & development tools 

- Databases: relational (mySQL, postgres), noSQL (mongo, neo4j, firebase)

- Containers: Docker, Kubernetes

- ELK stack

Preferred skills: 

Demonstrates extensive abilities and/or a proven record of success in technical lead roles involving the following areas:

- Working in a venture backed software startup developing greenfield products strongly recommended

- Building and optimizing ‘big data’ data pipelines, architectures and data sets, using

    - Big data tools: Hadoop, Spark, Kafka, etc.

    - Cloud PaaS big data services: AWS, GCP, or Azure

- Applying analytic skills related to working with unstructured datasets

- Communicating, verbally and written, with both business and technical stakeholders to achieve product engineering objectives;

- Leading across all aspects of a technology solution such as integration, data, services, front-end, back-end, network, deployment, scaling, security, performance and development;

- Managing rapid-prototyping efforts with new and emerging technologies leveraging agile development techniques;

- Designing successful technical/integration architectures for large-scale platforms with a mix of 3rd party vendor, open-source, custom software, including the documentation of technical assumptions and decisions;

Artificial Intelligence

$90/hr - $200/hr

Starts Mar 18, 2019

27 Proposals Status: CLOSED

Client: P***

Posted: Mar 12, 2019

RPA Analytics Solution using Automation Anywhere, UiPath, or Blue Prism

We are a Fortune 500 company. We seek an expert with over two years of Robotics Process Automation (RPA) experience, developing RPA scripts; working with automation tools like Automation Anywhere, UiPath, and Blue Prism; integrating RPA bots with control rooms/control towers.


3 week long effort to build a targeted RPA analytics solution that provides core insights to understand a software program’s ROI and optimize software license utilization for enterprises. The aim of the solution is to address enterprise companies’ desire for continued ROI visibility and actionable insights into their core RPA software license investment.

Please respond with the following:

1. What is your experience developing RPA scripts

2. Which RPA automation tool do you know best and how long have you been using it?

3. How many hours are you available per week?

4. Are you able to work at least 3 hours per day in the EST time zone?

Professional Services
Robotic Process Automation
Automation Anywhere

$75/hr - $125/hr

Starts Mar 28, 2019

19 Proposals Status: CLOSED

Net 60

Client: C*******

Posted: Mar 11, 2019

Using AI to improve venture investment selection

The project specifics will be discussed with the strongest consulting candidates.

Financial Services

$25,000 - $50,000

Starts Apr 01, 2019

51 Proposals Status: CLOSED

Client: P******** **** ********* ***

Posted: Mar 01, 2019

Proof of Concept: Recommendation Engine

We are a medium-sized company, specialized in providing digital omni-channel transactional solutions (mainly online and mobile channels) to banks in Latin America, for both Retail and Business segments. Our digital solutions are offered under a SaaS model (Software as a Service).


The Problem 

We are currently aiming to evolve its digital banking solutions, mostly focused in transactional operations (ex. balance inquiry, fund transfers, credit card payments) into relational banking ones.

In order to achieve this, In the Innovation team, we are working on a concept to create full contextual applications. These apps are required to analyze end user’s historical data of his interactions with the channel (mobile app or web banking portal) + real time data in order to predict what the user will perform in the app. Thus, the concept supports on a dynamic dashboard that displays the functionalities accordingly to the user’s context.

The recommendation engine should be able to use the internally and externally available data about the users/behavior and leverage sophisticated machine learning models to arrive at relevant recommendations.


The recommendation engine should be able to address capabilities including but not limited to below points:


-Recommend relevant actions to users based on their In App-behaviour.

-Predict the order in which banking product(s) should be presented (deposit accounts, credit cards, investment accounts, loans, etc.), so the front end can display them accordingly.

-Predict what information of each product will be consulted, so the front can display the information that is actually relevant for the user (ex. should display the balance, or should display last transaction movements)

-Provide recommendations based on the time of the day/month the info is consulted. Eg: A user might have a habit consulting certain info or performing certain transactions during a specific day of the month or hour.

-Provide higher weightage to transactions performed more regularly.

-For new users, the model should be able to suggest transactions according to demographically similar users.

-To further refine recommendations, along with relevance to user it could also consider overall popularity of the transactions.

-Even though our initial interest is to develop a POC for this recommendation engine, our production platforms handle millions of users on a monthly/daily basis hence the recommendation engine should be able to scale to process the data and provide real time results. It should be able to learn from the interaction the user takes with the provided recommendations.


Expertise Required

We are in need of creating a tailored recommendation system to Initially support a POC for our digital omni-channel solutions. We are looking for experts with experience about:

-Data architecture consulting

-Tailored recommendation engine expertise

-Management of large databases

-Multiple data sources

-Robust APIs development

-Data Sources and formats


We will provide raw data, the third-party will be in charge of analyzing it, and make necessary transformations to achieve the objective. We expect the receive suggestions regarding which other data we should gather in order to improve the engine’s accuracy.

We record the logs of the Interaction of the end users with the app and logs of the transactions that end users execute In the app (mobile and web).


We initially have 16 transactions that are of interest:


















Technology stack: 

The expert should specify which frameworks and data infrastructure is currently using or has used for his/her last projects.



Deliverable for the Proof of concept: 

The deliverable should be an algorithm which is able to predict which are the actions that users are most likely to take when they login, on an individual level. This prediction/recommendation engine should be able return the prediction for each of the users based on the context of his/her interaction. The engine should make available this information In order to display It through a dynamic dashboard (via API)


This engine should work in real time (although for the PoC a batch process will be enough, the final product should be live). The algorithm should be robust enough to be scaled and must be able to take thousands of concurrent API calls.


In your proposal:

We have the following Information Request/ questions to gather the required details for considering your organization to develop the aforementioned Recommendation Engine:

1.For which industry have you developed recommendation engines before? Please share broad description of underlying logic. Also we would like to explore one of the recommendation engines that you have deployed for your clients in the past.

2.Profile of experts that will be working on the project along with details of their qualification, past projects and Tools and technologies used earlier?

3.What is the technology stack that you would suggest for developing the recommendation engine?

4.What approach would you use to develop the POC for the recommendation engine?

5.How would you suggest to evaluate the recommendation quality?



Since we are working on this project through our Innovation process, we expect to have preliminary results between 1 and 2 months.

Additional videos, prototypes and data related with transactions will be shared with shortlisted candidates.

Consumer Goods and Retail
Machine Learning

$12,000 - $15,000

Starts Jul 26, 2019

17 Proposals Status: IN PROGRESS

Client: T*****

Posted: Feb 04, 2019

Senior Pricing Analyst/Data Scientist for Vistaprint

Vistaprint is looking for senior Analytics or Data Science practitioners (lead/principal level) with deep expertise in Pricing, who can:

·      Provide thought leadership on methodologies and approaches

·      Lead delivery of Pricing projects as a hands-on practitioner

·      Partner with our existing team, and upskill other analytics team members along the way


Deep experience in Pricing is desirable, with extensive experience delivering analytics projects, preferably in an ecommerce or retail context.  Some projects or areas of focus could include:


-Developing price elasticity curves, identifying data gaps, analyzing data, and helping with initial implementation

-Enhance our framework for measuring the impact of price changes, both long and short term, via testing (ABn, multivariate) or other approaches (pre-post analysis)

-Identify opportunities for optimization, developing a methodology and approach to detecting where tuning is needed within our portfolio of several thousand SKU’s.

-Increasing the scalability of pricing optimization, including approaches such as Dynamic Pricing, and integration of deep learning or other AI/Machine Learning approaches   


This a full time role at 25-40 hours per week.  We are open to part time with the caveat that the expert needs to have enough hours available to make an impact both on the projects and with the team here. 

This will be a 3- 4 month engagement with an option to extend.


Location Preference: At least 20-25% on site in Waltham, Massachusetts, USA or in our office in Barcelona, Spain.  Local candidates for each location are preferred.


In your proposal please tell us why you might be a good fit and attach your resume.

Consumer Goods and Retail
Pricing and Actuarial

$200/hr - $250/hr

Starts Feb 26, 2019

17 Proposals Status: CLOSED

Client: V**********

Posted: Jan 22, 2019

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