Data Science

Our Data Science Acceleration Team (DSAT) 2.5 is great for any business looking to ramp up their data capabilities. A DSAT 2.5 package comes equipped with a team of interchangeable specialists fitted to your needs. To optimize your engagement outcomes, a mix of data scientists, engineers, developers and the project lead will work the equivalent of two and a half full time resources. Whether you are a small startup with no data science team or a multi-billion dollar financial institution with more projects than the bandwidth you have to support, DSAT 2.5 can help move you forward.

Stopwatch

Easy and fast

Get started ASAP. Just sign up for a team and we are sitting next to you, rolling up our sleeves, and making progress.

Three human figures with arrows indicating rotation and flexibility

Customizable

We know that your needs can change — specialists swap in and out as needed for different aspects of the solution.

Sale tag with a percent symbol

Low risk

Did we mention that you can try for 3 months at a discounted rate? No obligation and you can choose to terminate at anytime.

Depiction of a computer chip with "25+" in the center

Domain expertise

25+ years of experience in banking, insurance, and retail — giving us the right mix of skill and knowledge to tackle even the toughest problems.


 

Data Science Consulting

Three human figures with three gears behind them

For over 25 years, Fulcrum Analytics has been a leading provider of data science, advanced analytics, and data engineering. Our experienced team of on-shore consultants work closely with client end-users and stakeholders to provide:

  • Strategy development
  • Data assessment
  • Data augmentation, integration, and maintenance
  • Predictive modeling and statistical inference
  • Supervised deep learning with neural networks
  • Generalized linear models
  • Machine learning modeling
  • Cluster analysis
  • Principal component analysis
  • Classification models
  • Data visualization
  • Time series modeling
  • Forecasting
  • Natural Language Processing (NLP)
  • Digital analytics
  • HR analytics
  • Share of wallet analysis
  • Risk analytics
  • Loss driver analysis
  • Unstructured data mining
  • Big data programming
  • Data anomaly detection
  • Management dashboards
  • Recommendation systems
  • Web tagging and tracking
CPU icon

Our staff is trained in a wide range of software/programming languages and methodologies including:

  • SAS
  • R
  • Python, Pandas, NumPy, Scikit-learn, etc.
  • Hive SQL, PL/SQL, MySQL, Impala
  • Data visualization tools such as ggplot2, R Shiny, Superset, and Matplotlib
  • Distributed computing on data stored in Hadoop using Spark, Hive
  • Agile methodology
  • Unit testing
  • Modular, Object Oriented design principles
  • Hypothesis testing
  • Bayesian analysis
  • Jupyter, PyCharm, Atlassian (Bitbucket, JIRA, etc.), Git, RStudio, Cloudera Hadoop, Hive, Oracle DB, Excel
  • Mathematica
  • Web development languages and frameworks such as Javascript, Bootstrap, and D3.js
  • API development

We can help by deploying our resources on a per-project basis or with the DSAT team-based approach.

Recent Thoughts on Data Science

The Five Pillars of Data-Driven Organizations in 2020
The digital age is fully upon us, and just about every action that each person takes during a day creates

Read more.

Using AI to Detect Data Anomalies
Business decision makers rarely crave more reams of data.  They really want well-defined, actionable insights from data that they can

Read more.

Leveraging Matched Control Groups to Accurately Measure Business Experiments
It can be challenging for managers to measure the financial effects of various changes they’ve made to their enterprise. Interventions

Read more.

Challenges Facing Investment Banks in the Adoption of Data Science
Today, data science is not only an industry buzzword, but an emerging business need to drive profitability, as we will

Read more.

How we have helped clients

A startup needed to scale up their data science and engineering capabilities in short order. They used DSAT 2.5 for our deep financial industry expertise and advanced data engineering skills. We provided them with the right mix of technical and domain knowledge to rapidly accelerate their client service.

A global investment bank uses DSAT 2.5 to modernize tagging, tracking and reporting for their research portal. Also, we are creating a test and learn framework to enable more efficient experimentation and comprehensive feedback.

A retailer wanted to understand the attractiveness of their local markets and how they fared against their competitors. This retailer used DSAT to automate the generation of custom detailed reports, comprised of an (automatic) aggregation and analysis of various public data sets, and develop an interactive application allowing business users to create further customizable charts and reports.

To learn more about ways we have aided our clients with data science please check out our case studies