Machine Learning Data Scientist

PERUMAL SRINIVAS

Data Scientist Consultant AMS Support AI/ML Integration

SUMMARY

Experienced Consultant with a solid history of achieving operational efficiency and increased revenue. Motivated leader with strong organizational and prioritization abilities. Excellent communication skills working with technical teams, all levels of management, stakeholders and subject matter experts.

Accomplished Machine Learning and Computer Vision,Integration, Adoptions and Institutionalization of AI/ML techniques, methods and solutions. Involved in End-to-End implementation using compete ML Suite.

Skilled in applying advanced algorithms—especially CNNs and Transfer Learning (VGG, AlexNet, Inception)—and object detection (YOLO) for imaging.

Proficient in predictive modelling, NLP, and deep learning frameworks, including TensorFlow and PyTorch for image segmentation, feature calculation and model building.

Business Analyst, Vendor management and Project Management for various applications on Cloud, Web, Mobile, ERP – SAP, Object oriented and Client server Technologies using Agile & Waterfall methodology. ETL extractions, WOGAA Google analytics and SAP Predictive Analytics.

Handled Digital Transformation projects under the Ministry of Education Singapore and have handled applications under following domains Health Care, Automated Fare Card Collection, Singapore Government Sectors, Manufacturing, Finance and Telecom Billing.

CORE COMPETENCIES

Prepared Business Requirements Documents (BRD), process flows, UML diagrams, business and system uses cases. Create technical documents for the solutions. Compile timely, comprehensive and accurate documentation as requested.

Experience in conducting Joint Application Development (JAD), project meeting, reviews, walkthrough and interviews, process flows. Functional specifications documents AS-is and TO-be workflows.

Experience in conducting Unit Testing, SIT, User acceptance Testing (UAT), SWOT analysis and GAP Analysis. Liaise with other application teams and business users to prepare test cases and test data prior to testing in UAT and Mock Run environment.

Work with production support team members to conduct root cause analysis of issues, review new and existing code and/or perform unit testing, Manage project change request approval windows and deployment schedule.

‘Contract-Solution Architect’ in crafting IT solutions that can integrate with incumbent SAP applications (EHS, ISH, Enterprise Portal, SAP HR,). Around 5 such pre-bid solutions on a project basis (Deal value between USD 2M – 3M each) were undertaken with 2 of them winning the final contract.

Tenders, Bid Proposals Preparation, Planning, Coordindation with vendors for Implementation of Work Orders, Liased with vendors for software evaluation,

Adept in data query, data analysis, predictive analytics, machine learning, data mining, data visualization, Deep learning and NLP.

Development experience for application projects in using SQL, C/C++, SAP ABAP/4, Unix Shell scripting, Awk, Perl with platform of TOAD, Oracle developer, SAP Hana Studio, Jupyter Notebook, Tableau.

Imaging & AI: Specialized in imaging data analysis, including image segmentation, classification, and object detection using CNNs for Models. Experience with Transfer Learning.

Machine Learning & Deep Learning: Expertise in supervised and unsupervised learning, including clustering, anomaly detection, sentiment analysis, and predictive modelling.

Model Deployment: Experienced in end-to-end model lifecycle management, from data preprocessing to model training, evaluation, and integration using Docker, Flask APIs, and cloud platforms.

Technical Leadership & Collaboration: Proven ability to manage cross-functional teams, align technical and business goals, and deliver solutions in regulated environments.

Predictive Analytics Banking Application

https://drive.google.com/drive/u/0/folders/1uiSDUZUB6b9ELPis4EamulmiPOW2wCvK

SKILLS

Cloud

AWS, AZURE

Programming Language

Python, C, ABAP/4, Scala, Apache Kafka

ML & DL

Sklearn, TensorFlow, Pytorch

Data Analytics

Pandas, Numpy, SciPy, Sql

Data Visualization

Tableau, Microsoft Excel, Power Point

Neural Network

CNN, RNN, LSTM

Transfer Learning

VGG, Alex Net, Inception, MobileNet

LLM

Prompt Engineering & Fine Tuning

Business Intelligence

SAP BO, SAP WEBI, SAP BI, Lumira Designer

Databases

SYBASE System 11, ORACLE ver 8i, 8.0, 7.0, SQL Server,Hana

O/S

Unix(Shell script/AWK/Perl Scripting), Linux, Sun Solaris, AIX

Languages

C, C++, Python, ABAP/4,Cobol

ERP

SAP S4 Hana, ECC 6.0, SAP 4.0B, ISH, FICO ABAP/4, BW/BI, HANA, Predictive Analytics

Methodology

AGILE, Objectory, Rational Rose, UML

Incident Tool/Office 365

IBM Incident Tool, JIRA, Log Management : Graylog, ETL : Hive, Control – M, Remedy, CICD, Confluence, Sharepoint, Jenkins,Product Automation

EXPERIENCE

Project : NCS NHIPS – NGEMR - CHCS Integration Jan 2025 – To Date

Client : Synapxe Singapore Role : External Consultant Tsystems Singapore Pte Ltd

s/w : SAP ISH, SAP ABAP/4, EPIC, NHIPS, Interfaces

Responsibilities:

Engaged in a critical healthcare integration project involving the New Generation Electronic Medical Record (NGEMR) and NHIPS systems across institutions like AMKH and RCH in Singapore. As a SAP IS-H and integration specialist, I bridge the functional and technical gap between clinical operations and the NHIPS IT team.

Acted as a liaison between CHCS stakeholders and NHIPS teams, ensuring smooth flow of inpatient and outpatient ADT data.

Led interface analysis and design, defining HL7 structures (MSH, PID, PV1) and integration logic across systems.

Developed an SAP ABAP program to process NHIPS reconciliation records with features for HL7 report display and log downloads for audit/troubleshooting.

Supported SIT and UAT cycles by generating test ADT datasets and validating interface workflows across multiple institutions.

Proactively handled integration troubleshooting, data alignment, and SAP IS-H enhancements to ensure delivery success.

Cressel Software Pty Ltd [https://cressel.com.au] Nov 2024 - March 2025 Role: Data Scientist [Remote]

Client : Rx2AI.com An AI recognition of medical records and medical discussions eliminates double handling of information and a seamless integration with existing EHRs, ERPs, and billing systems.

PDF Data Extraction Pipeline Development for AI Surgical Operations (Rx2AI)

Designed a Python-based PDF to extract, parse, and normalize clinician system-generated PDFs into structured CSV datasets for AI model consumption.

Applied natural language processing (NLP), regular expressions (regex), and pattern recognition algorithms to accurately identify, extract, and map critical surgical operation data points from unstructured text.

Developed modular, scalable code architecture capable of handling heterogeneous PDF layouts, supporting rapid onboarding of new clinician report formats with minimal manual intervention.

Integrated data cleansing, standardization, and validation layers to ensure high-quality, AI-ready datasets for downstream machine learning pipelines in Rx2AI's surgical workflow optimization platform.

Contributed to the foundational data engineering layer enabling Rx2AI’s AI models to achieve higher accuracy, faster training cycles, and enhanced model robustness in surgical operations use cases.

Pharmaceutical Inventory Management System

AI-Powered Ophthalmic Medication Inventory Management System for AI Pharmacy Operation (Rx2AI)

Development of an advanced computer vision-based inventory management system for high-value ophthalmic medications, specifically targeting critical eye surgery drugs including Eylea (aflibercept) and Lucentis (ranibizumab) used in treating wet AMD, diabetic macular edema, and diabetic retinopathy.

Key Responsibilities & Achievements

System Design

Design of an AI-powered object detection system in pharmaceutical product identification using computer vision algorithms

Real-time inventory tracking for expensive ophthalmic medications with automated detection capabilities

Dashboard providing real-time visibility into medication stock levels, usage patterns, and inventory movements

Business Impact & Risk Management

To establish comprehensive audit trail system for high-value medications, ensuring complete traceability from storage to surgical procedures.

Mindcube Consulting Pte Ltd [Authorised Vendor Tsystems Singapore] Feb 2024 – To Date

Project Management, Design &Development of AI Solutions to integrate with HIS & Clinical Applications

Diabetes Prediction Model Using ANN for Healthcare Integration

Developed an Artificial Neural Network (ANN) model to predict diabetes risk based on patient healthcare data, involving multiple clinical and lifestyle-related features.

Data Collection & Preprocessing: Worked with patient healthcare data extracted from HIS & external systems incorporating over 30 features, including age, BMI, blood pressure, glucose levels, lifestyle factors, and family history. Preprocessed the data to handle missing values, normalize features, and reduce noise.

Feature Engineering: Conducted in-depth feature engineering to enhance model accuracy, employing techniques such as polynomial features, binning, and feature scaling.

Model Development: Designed a multi-layer ANN with backpropagation to capture complex nonlinear relationships among the features.

Evaluation & Optimization: Used k-fold cross-validation to assess model performance, achieving high accuracy and precision metrics.

Implemented hyperparameter tuning for optimized learning rates, batch size, and number of neurons per layer.

Integration with HIS: Collaborated with HIS developers to seamlessly integrate the diabetes prediction tool within the HIS framework, providing real-time, personalized risk scores for healthcare providers.

Outcome: Enabled early diabetes detection and personalized care by integrating real-time predictive insights into HIS. Improved patient outcomes by 20% through timely risk stratification, helping healthcare providers take preventive actions.

Heart Attack Prediction Using Logistic Regression for Predictive Analytics

Developed a predictive model to assess heart attack risk in patients by analyzing data from HIS using logistic regression, facilitating proactive patient management.

Data Integration: Extracted relevant patient data from HIS and from external systems integrated to SAP ISH, including variables such as age, cholesterol levels, ECG results, blood pressure, heart rate and prior medical history related to cardiovascular health.

Data Processing & Transformation: Cleaned and standardized data to align with model requirements, handling categorical variables through one-hot encoding and continuous variables through normalization.

Model Selection & Training: Chose logistic regression due to its interpretability and effectiveness in binary classification.

Model Evaluation: Assessed model performance using AUC-ROC, precision-recall curves, and confusion matrix to ensure a robust, clinically reliable predictive model.

Integration with HIS & Clinical Workflow: Integrated model predictions within HIS, that provided risk scores directly to healthcare professionals, allowing for immediate clinical action.

Impact: Enhanced clinical decision-making with a reliable prediction model, reducing the incidence of unanticipated cardiac events. Provided actionable insights that led to a 15% improvement in proactive patient care and reduced hospital readmissions.

PwC Singapore, Singapore [Contract] Bonds Tracking System May 2024 – Nov 2024

s/w : SAP S/4 Hana, ABAP, SAP Treasury, Abap on Hana, Bapi, Enhancement Consultant

Identified Business Needs: Acted as the liaison between the business and IT, engaging with stakeholders to understand their requirements and challenges in managing bond transactions. Conducted presentations to explain opportunities and constraints of the existing processes and systems, aligning user requests with the software system strategy. Prioritized business requirements to ensure alignment with organizational goals and the SAP system's capabilities.

Analyzed Systems: Supported in formulating the system scope and objectives for the Bonds Tracking System, focusing on the interactions between system elements and the performance of the S/4 HANA, ABAP, and SAP Treasury modules. Contributed to the collection and analysis of data about existing systems to identify areas for improvement. Examined system issues and addressed complex questions, ensuring the system design was optimized for operational efficiency.

Developed Solutions: Led the design and implementation of the Bonds Tracking System, ensuring it streamlined transaction uploads and fostered better collaboration among stakeholders. Wrote and reviewed system requirement specifications, providing detailed documentation that translated business needs into technical solutions. Recommended system enhancements based on identified gaps and ensured that solutions were fit for purpose.

Key Contributions: Optimized business workflows by translating stakeholder needs into actionable system solutions, improving operational speed and accuracy.

Successfully collaborated with stakeholders to ensure system solutions met business requirements, resulting in improved compliance and data management.

Benefits Accrued:

Delivered a robust Bonds Tracking System that improved operational efficiency and streamlined the process for tracking bonds and transactions.

NATIONAL UNIVERSITY OF SINGAPORE June 2023 – Feb 2024

s/w : S/4 Hana, Fiori, OData, BTP, SAC Cloud Senior Consultant

Identified Business Needs: Acted as the liaison between stakeholders and IT teams to understand the business requirements for SAP FI, PS, and HR enhancements. Gathered detailed requirements, addressing user concerns, and provided clear presentations to stakeholders on the opportunities and constraints of the existing systems. Prioritized user requests in line with SAP system strategy, ensuring alignment with the university’s goals and IT standards.

Analyzed Systems: Supported in formulating the scope and objectives for the enhancements in SAP FI, PS, and HR modules. Contributed to examining interactions between system elements, system performance, and potential issues. Guided the collection and analysis of information on the existing systems and suggested necessary improvements based on user feedback. Evaluated the impact of proposed system changes to ensure business needs were met effectively.

Developed Solutions: Wrote and reviewed detailed requirements documentation that translated business needs into system requirement specifications. Supported in recommending appropriate system enhancements and bug fixes for issues raised by functional users. Ensured the solutions met the business requirements while maintaining compliance with regulatory standards. Assisted in evaluating the feasibility of installing new system components and integrations.

Data Engineering : Conducted data analysis to identify patterns and trends in student datasets and data quality checks and validation rules to ensure data accuracy.

Collaborated with data team to develop data pipelines to improve data quality and accessibility and with cross-functional teams to analyze and extract insights from large datasets.

Key Contributions: Played a crucial role in enhancing systems to meet regulatory and business standards.Delivered effective solutions that addressed user queries, system issues, and required enhancements.

Benefits Accrued:

Developed comprehensive documentation and testing scenarios to ensure compliance with internal and external standards. Successfully collaborated with stakeholders and vendors to ensure that the project was delivered on time and met the quality expectations.

INCORP GLOBAL PTE LTD, Singapore Business Analyst Oct 2022 March 2023

s/w : AWS, JSP, C#, ASP.NET, SQL, Sharepoint, Crystal Reports

As Business Analyst, led the development and deployment of the InCorp Portal and ProKorp Web Application, enhancing services for 600 users. Automated compliance due diligence workflows and improved regulatory processes by integrating third-party APIs.

Spearheaded project management tasks, coordinating with vendors and stakeholders for the development, testing, and deployment of web applications, including compliance modules. This involved planning, tracking and workbreak down, costing and reporting to stakeholders.

Data Analysis: Translate business propositions into quantitative queries and collect/clean the necessary data.

Prepared data for prescriptive and predictive modeling to optimize processes and help the company make informed decisions using large datasets.

Supported the implementation of data models for reporting and analysis purposes.

Implemented data quality checks and validation rules to ensure data accuracy and integrity.

Designed and managed SQL and NoSQL using DbSchema to assist with data collection processes.

Key Contributions: Worked closely with stakeholders to identify business needs, optimize processes, and align technical solutions with organizational objectives.

ERP 21 Pte Ltd New Generation Procurement System Consultant Sep 2021 – May 2022

Client : DSTA, Singapore s/w: ABAP/4 on Hana, FI, MM, Outsystems, Hana DB, Informatica Procurement Systems : Led design and customization of the New Generation Procurement System for DSTA, optimizing procurement workflows across the defense sector using ABAP on S/4 HANA and Outsystems. Conducted SIT and UAT for seamless functionality and compliance.

Key Contributions: Enhancing procurement operations for the military sector.

Client : ST Engineering, Singapore Consultant Sep 2020 – Aug 2021

Project : Ariba-Maximo-SAP Integration s/w: ABAP/4 on Hana, FI, MM, MAXIMO, ARIBA, PI, Hana DB

Responsibilities:

Led Ariba-Maximo-SAP integration project for the Thomson East Coast Line procurement designing process flows and interfaces for seamless data exchange. Managed data synchronization across systems, optimizing asset management and procurement workflows.

Key Contributions: Identified business needs, developed and communicated system solutions that improved data accuracy and operational efficiency.

Project : Sigma Data Migration Project s/w: ABAP/4, FI, MM, SD, PP, CATS, SM, PS

Responsibilities:

As a Consultant for ABEAM Consulting, I led the Sigma Data Migration project for ST Engineering, focusing on extending a new company code. I developed conversion programs and customized reports/forms across modules such as FI, SM, and MM, leveraging BDC, BAPI, ALV reports, SAP Scripts, and SmartForms. Collaborated with stakeholders to ensure accurate data migration and system updates.

Benefits Accrued: The migration enhanced financial and service management processes, ensuring data accuracy and reducing manual errors. This facilitated a seamless transition to the new company code, accelerating operations and boosting overall efficiency.

GovTech Singapore Business Analyst Sep 2019 Aug 2020

Project : Singapore Student Learning Space [SLS] s/w: AWS, Java, EJB, Tomcat, Jenkins

Singapore Student Learning Space project, driving enhancements and integrating new functionalities like dashboards, quizzes, and single sign-on. Facilitated integration testing and UAT.

Agile methodology with Daily Scrums and lead the operations teams and handle resource management of the operations teams and Risk management.

AI Integration : POC for Speech to Text to incorporate with the Singapore Student learning Portal.

Design Thinking: Involved in the Class room of the Future Design Thinking Project, Development of the Roadmap, Interviews, Observation & Shadowing to identify school's needs, challenges and opportunities, ideation of solutions on the classroom findings. Prototyping and Preparation for Sprint reviews.

Key Contributions: Liaised with stakeholders to understand educational needs and enhance system functionality for remote learning during the pandemic.

Benefit Accrued:The project delivered an enhanced user experience for students and educators, enabling seamless and flexible remote learning during the COVID-19 pandemic. Improved functionality and accessibility ensured uninterrupted learning and reliable portal performance, even during peak usage.

Client : IHIS Singapore Jan 2013 - Jul 2019

Vendor : Accenture Singapore Pte Ltd Business & Technology Delivery Specialist

Project : National Healthcare Records [One Patient One Record Secure summary patient health records across different healthcare providers.] [Mar 2019 Jul 2019]

s/w: Liferay Portal, Elastic Search Engine, Oracle, XML, Informatica, Crystal Reports, JSP, Interfaces to External Systems : ICA, SAF, CMIS & Others

Led requirement elicitation for change requests to improve the National Healthcare Records portal’s security and functionality. Coordinated SIT and UAT for critical healthcare system enhancements.

Partner with Test Management teams to ensure complete, UAT, Performance/Load Testing and application security testing with quality result.

Key Contributions: Translated complex business requirements into functional specifications,

ensuring enhanced security and operational efficiency in healthcare data management.

Benefit Accrued: These efforts significantly enhanced the security and functionality of the NEHR portal, ensuring a more secure and efficient platform for managing patient health records across healthcare providers.

Vendor : Tsystems Singapore Pte Ltd [Duetsche Telecom] Senior Consultant

Project : Healthcare System for Singapore Community Hospitals s/w: Sun Solaris/SAP ISH/SAP FICO/Windows NT/Oracle/Crystal Reports [Jun 2018 Feb 2019]

Collaborated with stakeholders to map business processes and develop functional specifications for a healthcare system supporting community hospitals. Resource Management of offshore teams and implemented system enhancements for patient records. Lead as part of the Change Management and address the Change Control board for approvals and justification of enhancements to be deployed.

Key Contributions: Analyzed healthcare processes and delivered system solutions that improved operational workflows and service delivery.

Benefits Accrued: The project streamlined data extraction and improved the system's capability to process healthcare claims, enabling timely funding for long-term care services. This enhanced operational efficiency and improved service delivery .

Vendor : IBM Singapore HealthCare Consultant [Jan 2013 – Jun 2018] Project : Nauticus SAP ISH Implemented for hospitals under Jurong Health Care cluster, Alexandra Healthcare, National University Hospital. s/w: Sun Solaris/SAP ISH,FICO,MM/Windows NT/Oracle/Crystal Reports

Project Management,Issues Management, Risk Management, Resource Managements, Enhancements, Estimation and Maintenance of Patient Management Module implemented for all the hospitals. Amendments for Change Request raised from SAP HealthCare to be resolved as per Service Level Agreement 24/7 Primary Application Support.

Preparation and implementation of Enhanced Change Proposals. · Application Management for SAP Healthcare(Analyse/ Clarify on Raised Tickets, Bug Fixing, Process Change Request and support team management.

Addressing and advising Users on all issues Relating Patient Management module implemented for all hospitals under the NHG Group. This also covers Insurance claims. Handled the Routine System Maintanance activitie, upgrades to O/S, Database upgrades and SAP upgrade.· Interface ADT support to various Subsytems including EMR.

Coordinating and tasks assignment and followup with on Shore and Offshore Abap Consultants program fixes or enhancement as required.

Conduct Unit Testing & SIT and implementation of Change Requests. Lead as part of the Change Management and address the Change Control board for approvals and justification of enhancements to be deployed.

Benefit Accrued: These efforts improved patient management efficiency, streamlined hospital operations, and enhanced the user experience with self-registration and real-time alerts. This resulted in increased patient satisfaction and optimized operational workflows.

I have also worked as

SAP Consultant as Contractor [Apr 2006 – Dec 2011 ] for the following [Saudi Business Machines KSA, IBM Singapore, SAP ASIA, Soltius Singapore].

Business Analyst at ERG Transit Systems Pte Ltd [Sep 2001 – Nov 2005 for S$130 Million Automated Fare Collection System] This being a 5 tier Architecture supported the Backend deployment, GIRO Susbsytems implementation, AMS Support on the backend operations support of the complete AFC on 24/7. Involved in complete End to End Testing across the 5 tier Architecture SIT & UAT. Monthly RAM Testing preparation, evaluation and addressing all the stakeholders from the different Service Providers.

Senior Software Engineer Singapore Telecom Group Companies [Dec 1993 – Sep 2001].

EDUCATION

Completed PMP Training [Star Agile, India] [Dec 2022]

Specialist Diploma in Applied AI [Nanyang Polytechnic] [Oct 2021 – Oct 2022]

SAP Data Science [SAP, Temasek Polytechnic] [Jan 2021 July 2021]

PG Diploma in Computer Science [ Bureau of Data Processing Systems, India]

Bachealor’s Degree in Commerce [University of Madras]

Contact this candidate