Apple

I lead the data science and engineering team at Apple Services Finance. The team focuses on translating business problems and requirements into data products using advanced statistical and machine learning models to support and help Apple leadership make data-driven decisions.

Senior Manager - Data Science and Engineering 

Managing a data science team focusing on cost optimization on Apple infrastructures with the use of statistical analysis and machine learning models.

Data Science Manager

Senior Data Scientist

Ernst & Young

Predictive analysis, time series models, forecasting and machine learning

Data Scientist

University of Michigan Law School

Data Analyst supporting the Empirical Legal Studies Center
Prediction Models, Regression Analysis and Data Visualization using R, JMP and Stata.

University of Michigan

Data Manipulation & Cleansing of a large database (India Census) using Stata and R
GIS Analysis with R
Data Visualization

Data Analyst

Senior Manager - Data Science and Engineering at Apple

I lead the data science and engineering team at Apple Finance - Services and Infra. The team focuses on translating business problems and requirements into data products using advanced statistical and machine learning models to support and help Apple leadership make data-driven decisions.

I am also an open-source contributor and the author of Hands-On Time Series Analysis with R (Packt publication) and several R packages for time series analysis and machine learning applications. Currently working on my next book, Applied Time Series Analysis and Forecasting, which focuses on forecasting at scale. 

Also available on:
Github: https://github.com/RamiKrispin
Medium: https://medium.com/@rami.krispin
Mastodon: https://mstdn.social/@ramikrispin

Rami Krispin

TechnipFMC

• Created automated visual data flows from scratch for Vice President of OneFleet (All Aberdeen managed vessels) and other key management personnel to gain insights on varied personnel data using R and Python based data pipelines.
• Implemented an employee attrition early detection model that led to the successful interventions resulting in retention of key personnel. 
• Developed a  cluster analysis of the employee profiles to streamline reward management.
• Cleaned and curated in-house datasets to be ingested to databases and used to generate actionable insights for top management. 
• Pioneered the creation of a happiness index based on psychometric profiles to measure wellbeing of Offshore employees thereby making employee welfare programmes 80% data driven compared to the erstwhile non data driven approaches  . 
• Converted the excel based , manual tasks through SharePoint ,MS Power Automate and PowerBi based solutions reducing the need for human intervention resulting in significant reduction of cost and employee effort. 
• Training staff on Data Driven best practices contributing to the in house data community keep abreast with latest developments in people analytics arena.

• Featured in the company Lean Project Competition under the Data Analytics category. Our team's entry resulted in the cost saving of over a million pounds fleet operation costs. 
• Featured in the Fleet News( In-house magazine ) for exceptional academic achievement.

Data Scientist - People Analytics

Freelance (Self employed)

• Created data analytics pipelines and customer analytics Dashboards focusing on prediction of customer segmentation and analysis of customer engagement and profitability for finance companies.
• Data anonymization projects for  mid sized healthcare companies in the UK and SriLanka. 
• Developed a google cloud based data pipeline and  automated dashboards for self service insights for optimizing a healthcare practices based in the UK. 
• Developed a data analytics projects  for  Industrial companies in the UK focusing on operational analytics, performance analysis and employee health and safety dashboards. 
• Delivered multiple training programmes to corporates and government officials on leveraging visual analytics for better Data Driven Decision making within organisation's .

Nations Trust Bank PLC

• Visualized and analysed Consumer Loan and SME Portfolios to give actionable insights automating the same utilizing Tableau Server based solutions.
• Automated the modeling of customer repayment patterns resulting in proactive flagging of potential defaulters thereby reducing the NPA volume.
•Employed spatial analytics to deliver insights about customer behavior driving market penetration in underserved areas in SriLanka resulting in exponential business growth.
• Eliminated manual work in operational departments by integrating MS Power Automate with Tableau.
•Imparted training to junior analysts on various Bi Tools, techniques, and concepts.

•	Successfully completed the Nations Management Trainee Programme, gaining experience by working within many key departments (Branches, Operations, Trade, Lean Transformation) gaining a broad understanding of the bank and its functions, whilst also advising on cases where data analytics/Python-based automation could help. Whilst on rotation I provided advice on use cases where data analytics and python-based automation could help in various departments.

Management  Trainee

A brief Description of the my role in this posting  

•	Management information (MI) Reporting, Monitoring Performance of projects, Marketing promotions on a Regular basis 
•	Inactive Activation, Early engagement (customer life cycle management) data management and related Management information (MI) Reporting and related analytics 
•	Consumer Finance, Retail & SME Related Management Information (MI) Reporting at product, Segment and Business levels 
•	Database management – Consumer Finance, Retail & SME. Selection of Bases for Cross selling opportunities and Related Analytics. 
•	Gathering  intelligence on competitor performance, strategies and growth

Senior MIS assistant ( Consumer Banking )

Account Reconciliation Assistant

Financial Trainee / Payments facilitator

I am a Data Scientist / Analytics Engineer with an FCCA Membership with more than eight years of hands-on expertise in Data Science and Business Intelligence in  banking , healthcare and human resources  domains. I have a strong background in Tableau and Python-based Machine Learning solutions. I am also comfortable in R programming based implementations for statistical and machine learning use cases as well. I can operate efficiently in an agile start-up scenario and a process-driven enterprise environment. I am a passionate self-learner who leverages emerging technologies. I am also capable of strategically incorporating team member feedback for producing the highest quality data products. My expertise in the data domain are building  financial analytics, spatial analytics and people analytics solutions.

In my spare time I am a CELTA qualified English teacher who is passionate about teaching English to non-native speakers and thus far have coached many students to become successful in their chosen English language exams like IELTS, PTE, Cambridge C1 and Cambridge C2 to name a few. 

As hobbies I read Science fiction and psychology books. I also enjoy reading the latest behavioural economics publications as well.

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Rami Krispin

Chathura M Perera FCCA

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