Summary
Overview
Work History
Education
Skills
RESEARCH - EXPERIENCE – MPHIL / PH.D.
NON-IT: BANGALORE/ COCHIN
Timeline
OperationsManager

SIJI T. MATHEW

Assistant Director|| PhD CS
Bangalore

Summary

Dynamic Data Science leader with a PhD in Computer Science and a proven track record of delivering complex, high-value initiatives. Expertise in managing and scaling large cross-functional teams across engineering, data science, analytics, QA, DevOps, and business analysis to deliver transformative AI/ML and data solutions that enhance business performance. With 9 years of experience in business planning, operations, and team management, possesses strong leadership and team-building skills that foster collaboration and innovation. Committed to leveraging technical acumen and strategic vision to drive organizational success.

Overview

15
15
years of professional experience

Work History

Assistant Director Data Science

Acuity knowledge partner
Bangalore
04.2024 - Current
  • As Assistant Director – Project Delivery, I specialize in identifying new analytics and data science opportunities by collaborating with cross-functional operational and BU teams. I drive the delivery of AI, ML, and advanced analytical solutions that enhance business outcomes, and deliver measurable value to banking clients. Managed the delivery of a complex client account generating $1.4M in monthly revenue, ensuring client-first engagement, and strategic alignment.
  • Managed stakeholder relationships, ensuring alignment on project objectives and milestones.
  • I lead a cross-functional team to design and deliver a ready-to-use Early Warning System (EWS) for banking clients, leveraging multi-agent (agentic AI) architecture to detect credit deterioration signals from diverse online sources, such as news, regulatory filings, and internal credit platforms.
  • Collaborated closely with peers from other departments/BU to drive organizational success jointly as one cohesive unit.
  • Led cross-functional teams to develop strategic initiatives enhancing operational efficiency.
  • Domain: Banking

Senior Manager Data Science

Genpact
Bangalore
10.2022 - 04.2024
  • Work closely with offshore stakeholders to understand the data science scope in client organization and translate the requirements into analytical solutioning.
  • Identify problem statement based on client requirements and build POC. Worked as SME to understand and address key business requirements.
  • Develop data science/predictive models to provide effective solution
  • Leading machine learning model development projects to forecast treasury balance using predictive modeling.
  • Collaborated with stakeholders to define project scope, objectives, and deliverables effectively.
  • Developed and implemented treasury forecasting for a US healthcare client.
  • Developed and implemented third party audit system to improve the auditing process and to identify the fraud remitters
  • Developed a matching DS algorithm to identify and match exactly the same invoices between SAP invoices and in-house storage ledgers. This helped to recover million dollars for the client organization.
  • Domains: Retail/ Healthcare

Senior Data Scientist - Manager

Commonwealth Bank
Bangalore
06.2021 - 10.2022
  • Worked on various Data Science initiatives in Common wealth Bank of Australia.
  • Work with offshore stake holders to define, comprehend, and experiment with new opportunities and leverage the scope to enhance current system, and direct roadmaps based on research, insights and recommendations.
  • Identify problem statement and build POC.
  • Presented findings and recommendations to stakeholders, driving alignment on key business objectives.
  • Developed and implemented Risk scoring based on customer segmentation.
  • Increased revenue generation through targeted marketing campaigns based on customer segmentation analysis results.
  • Domain: Banking, Risk Management

Lead Analyst Data Science

Infosys
Bangalore
02.2020 - 06.2021
  • Design Enterprise data platform
  • Client : Retailer , Kuwait ; Domain : Retail and Ecommerce
  • Technologies used: Microsoft Azure stack (Data bricks, Azure data factory, Azure ML studio, Azure API, Azure Synapse analytics), AWS stack (R3), Google big query, Python
  • Worked as a Data architect closely with client & handled a team to accomplish cloud transformation switch program.
  • Was part of a big team in integrating Master data management initiative to Azure cloud platform and played key role in making client- a Data driven company.
  • Provisioned near real time analytics based on AI and ML & agreed reports (as per discovery session) on Azure.
  • Re-Designed and implemented new a Architecture to Business with more analytics plug and play options
  • Partner with data engineers to ensure data access for discovery and proper data is prepared for DS model consumption.
  • Partner with ML engineers to make the DS models on industrialization.
  • Coordinate work activities with Business teams, other IT services and as required.
  • Communicate with business stakeholders in the process of service design, training and knowledge transfer.
  • Supported large-scale experimentation and build data-driven models.
  • Set KPIs and metrics to evaluate analytics solution given a particular use case.
  • Refine requirements into Data science modelling / Analytics problems.
  • Evaluated emerging technologies and tools in the field of data science, recommending strategic investments for the organization.

Data Scientist

IMedrix Pvt Ltd
Bangalore
06.2018 - 01.2020
  • Was a key role player and responsible for Analysis, Design and explore data Science methods and machine learning algorithms to develop various predictive models from scratch to predict various Cardiac related disease.
  • Technologies: Machine Learning algorithms, Predictive model building using python
  • Created classification/grading model for providing patients health insight
  • Technologies: Machine Learning- Classification in python
  • Created Risk model to predict the patient’s heart age
  • Performed Data Aggregation, Data Cleansing and Exploratory Data Analysis. Applied methodologies such as Logistic Regression and Discriminant Analysis in assessing and classifying the risk of patients.
  • Technologies: Machine Learning-correlation, predictions
  • Developed architecture and pilot model for ECG paper to ECG Digitization that can process paper ECG and generate the corresponding digitized ECG with respect to 12 lead standard ECG image.
  • Technologies / Methods : Matlab, Image processing, segmentation, extraction, region growing, text analysis
  • Was responsible to perform various data analytics in discussion with top level management team and generate analysis reports and charts based on various countries camp data to facilitate management team’s client meeting presentations.
  • Technologies: Python, Tableau
  • Product: Kardioscreen (FDA approved)

Data Scientist

Norte Technologies
Bangalore
12.2017 - 06.2018
  • Worked with forecast models, Time series analysis on automotive industry.
  • Engage with business teams to find opportunities, understand requirements, and translate those requirements into technical solutions
  • Design data science approach, applying tried-and-true techniques or developing custom algorithms as needed by the business problem
  • Collaborate with data engineers and platform architects to implement robust production ready real-time solutions
  • Ensure operational and business metric health by monitoring production decision points
  • Investigate adversarial trends, identify behavior patterns, and respond with agile logic changes
  • Communicate results of analyses to business partners and executives
  • Research new technologies and methods across data science, data engineering, and data visualization to improve the technical capabilities of the team
  • Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.

Data Scientist

ORMAE
Bangalore
07.2017 - 11.2017
  • Worked with predictive models, face recognition algorithm for a ware house management system.
  • Prepared predictive models to identify the warehouse tracking.

Software Developer

Plant Lipids
Bangalore
01.2008 - 05.2008
  • Worked as a software developer to develop and maintain in-house software products to manage day to day activities of the organization
  • Developed and maintained software applications to enhance operational efficiency.

Education

Ph.D. - Computer Science

Christ university
Bangalore
01.2019

M.Phil. - Computer Science

Christ university
Bangalore
01.2012

MCA - Computer Science

Union Christian College
Aluva, India
01.2007

BSc - Mathematics

ST. Peter’s college
Kolenchery
01.2004

Skills

Designed and executed data science solutions

Data science, Machine learning, Statistical Analysis, Exploratory data analysis, Analytics, DS Algorithms and Models, Predictive Models, Forecast models, Customer Segmentation, Classification/Clustering models Recommendation engine

Engaged with diverse stakeholders across locations

Managed extensive teams

Consulting

Performance tracking and evaluation

Customer relationship management

Risk analysis

Individual accountability

Teamwork and collaboration

Negotiation and conflict resolution

Domain: Banking, Retail, Healthcare

RESEARCH - EXPERIENCE – MPHIL / PH.D.

  • December 2013 – March 2019
  • Research topics - MRI image, brain tumor, segmentation, classification, datamining, machine learning, storage optimization, information retrieval.
  • Technology used – MATLAB, Excel, SPSS, Python

NON-IT: BANGALORE/ COCHIN

6 + years of experience in Teaching and mentoring MCA/BCA graduates; Python, Data mining, Java

Timeline

Assistant Director Data Science

Acuity knowledge partner
04.2024 - Current

Senior Manager Data Science

Genpact
10.2022 - 04.2024

Senior Data Scientist - Manager

Commonwealth Bank
06.2021 - 10.2022

Lead Analyst Data Science

Infosys
02.2020 - 06.2021

Data Scientist

IMedrix Pvt Ltd
06.2018 - 01.2020

Data Scientist

Norte Technologies
12.2017 - 06.2018

Data Scientist

ORMAE
07.2017 - 11.2017

Software Developer

Plant Lipids
01.2008 - 05.2008

BSc - Mathematics

ST. Peter’s college

M.Phil. - Computer Science

Christ university

Ph.D. - Computer Science

Christ university

MCA - Computer Science

Union Christian College
SIJI T. MATHEWAssistant Director|| PhD CS