Arushi Ventures

Private Equity Management & Data Science, Machine Learning, Big Data and Blockchain

Also offering courses in Data Science, Machine Learning, Big Data and Blockchain.

About Us


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Thought Leadership Partner

Most experts expect spending on big data technologies to continue at a breakneck pace through the rest of the decade. According to IDC's Worldwide Semiannual Big Data and Analytics Spending Guide, enterprises will likely spend $150.8 billion on big data and business analytics in 2017, 12.4 percent more than they spent in 2016. And the firm forecasts a compound annual growth rate (CAGR) of 11.9 percent for the market through 2020, when revenues will top $210 billion. Dan Vesset, group vice president at IDC, said, "After years of traversing the adoption S-curve, big data and business analytics solutions have finally hit mainstream. [Big data and business analytics] as an enabler of decision support and decision automation is now firmly on the radar of top executives. This category of solutions is also one of the key pillars of enabling digital transformation efforts across industries and business processes globally." The company projects particularly strong growth for non-relational analytic data stores and cognitive software platforms over the next few years. It believes that by 2020 enterprises will be spending $70 billion on big data software.

Certified Specialists in AWS, Hadoop, Cloudera Hortonworks and Azure

US based resources only

Big Data Platform: SAS / Cloudera / Azure / AWS / Hadoop (Hive, MapReduce), SolR / Lucene, Spark; Java / Python

Cloud Platform: AWS (S3, Glue, Redshift, Spectrum, Aurora, Athena, Neptune, Lambda)

Architecture Concepts: TOGAF 9.1, Zachman, SOA, SaaS, PaaS, IaaS

Data Appliances: Netezza 7.0.x, Greenplum 4.2, Teradata 12, Redshift & Aurora (AWS)

NoSQL / Graph DB: MongoDB, Column: Accumulo, Cassandra, HBase, Vertica, Neo4J

Document DB: Apache CouchDb, Marklogic, MongoDb, DynamoDB

Reporting / Data Wrangling: SiSense, Tableau, QlikView, Alteryx, Trifacta, Paxata, Attivio

Enterprise Integration: Azure Data Factory, Mulesoft, Talend, TIBCO, Snaplogic DI / DQ / ETL tools Informatica 9.x/10, Talend, MapReduce

Statistical Modelling: SAS 9.3, SPSS Modeler, Python

CASE Tools: ER Studio XE3 (Data Architect), Erwin 7.x

Industry Standards / COTS: Teradata FS-LDM v10.0, Mantas, Norkom, Actimize (AML), MetricStream – (eGRC)

Risk Products: MiSys, Calypso, RiskVal, Murex

Trusted by Many Fortune 1000 Companies in Multiple Industries


1000+ Engagements

Public and Private Companies: Healthcare Povider, Healthcare Payor, Healthcare PBM, Life Sciences, Manufacturing, Supply Chain, Financial Services, Private Equity, Venture Capital, Banking, Hedge Fund, SaaS

20+ Marque Clients

IBM, Aetna, Cigna, Medco, Walgreens, Express Scipts, Mt. Sinai Health System, Continuum Health Partners, World Bank, Bridgewater Associates, Citibank, Bank of America, Managed Healthcare Associates, iCIMS, Pfizer

40+ Elite Specialists

With Specialization in: AWS, Azure, Cloudera Hortonworks, R, Statistics, SAS, Data Science, Data warehousing, Data Integration tools, Systems Integration tools, C, C++, C#, .NET, Java, Python

Enabling Business and Strategic Growth using Big Data, Analytics and Systems Re-Engineering


Revenue Growth

(1) Applied Big Data Strategy and Solutions: Added $10M revenue as on-time and directly enable Annual Recurring Revenue growth from $125M per annum to $250 per annum in two and a half years. (2) Used “advanced analytics” and “big-data” strategies that enabled MHA to sell better, faster and with 35% greater efficiency. Cut technical debt by 85% in one year delivering RTO and RPO for ‘Disaster Recovery’ and ‘Business Continuity’ by implementing hybrid cloud strategy

Reducing Technical Debt

Enterprise Architecture: Drafting, Executing and Reducing Technical Debt by 85% in under 12 months for multiple clients. Achieved by either directly defining otr advising for Technology Roadmap Execution. Deep expertise in Authentication: SAML, SiteMinder, Kerberos, OpenID, entitlements and identity management

Security and Privacy

Performed Security Vulnerability and documented Risk Assessment of data driven technology ecosystems transformation and deliver multi-year strategic data technology initiatives. Infrastructure Architecture areas covering a) Authentication, Authorization, Auditing b) Application Security Session Security, Vulnerability/Pen Testing items, Input Validation c) Secure data transport and storage d) GDPR e) GDPR equivalents in US (CCPA, NY, MA, etc.)

Customer-Focused Culture

Championed customer-focused culture to deepen client relationships and leverage broader account relationships through critical deliveries of complex engagements by conducting Information Security, IT Security, Audit assessments and presenting the outcomes of the assessment and obtaining buy in. Documented findings for Data protection, data leakage prevention and secure data transfer and storage

Program & Project Management

Championed and executed Digital Transformation, Cloud Migration, ERP / CRM implementations, CRM / ERP re-implementations, Big Data implementation, Systems and new Technology training

Systems Change Management

Redirected or Redefined the use of resources, business process, budget allocations, or other modes of operation that significantly change a company or organization. Expert at 8 steps of Change Management: Create a Sense of Urgency, Build a Guiding Coalition, Form a Strategic Vision and Initiatives, Enlist a Volunteer Army, Enable Action by Removing Barriers, Generate Short-Term Wins, Sustain Acceleration, Institute Change

Leadership Team



President, Chief Data Scientist and Head of Big Data and Analytics

22+ years of expertise in Enterprise Architecture, Security Architecture, Analytics & Data Engineering, Data Science (AI + ML) programs for Healthcare, Financial Services, Manufacturing and Insurance clients in North America, EMEA, APAC. Recognized Leader in Data Security and Data Privacy (for Big Data systems and Blockchain) offering consulting services and educational programs at twenty universities across US since 2017.

Enabled Digital Transformation of Product Development and put a company on track to do $250 million revenue by 2020. Applied "Big Data and Machine Learning strategies" and turned around products and data systems, which had an immediate impact on bottom line and nearly doubled sales from $125 million to $200 million (years ahead of the forecast).

Author of seven (7) software patents

Rick @ LinkedIn    Rick @ Twitter    Email Rick

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Founded in 2015, Arushi Ventures, is helping to discover and learn the future of disruptive innovation across the world. Arushi Ventures is founded by alumnus of NYU Stern School of Business, and a Fellow of Harvard T.H. Chan School of Public Health.

Consult with Arushi Ventures in Assessments and engage us for Implementations.