JEMIMA JOY
Chief Data & Analytics Officer - AI/Generative AI
Chennai
Summary
Skilled Business Development leader offering 13 years of experience in developing new business leads,setting up new business engagement in health care & operations domain. Bringing expertise in Data Analytics,Business Intelligence,Cognitive Automation using ML and AI.As a forward thinking leader, I value partnerships as crucial asset to business success .I am known for being highly accessible and delivering results by forming connections with team members,stakeholders,vendors and customers
Overview
13
13
years of professional experience
8
8
years of post-secondary education
Work History
Chief Data & Analytics Officer - AI / Gen AI
ProV Technologies
Chennai, Tamil Nadu
2024.03 - Current
- - As Chief Data Officer, excelled in deploying AI technical skills including cloud computing, cybersecurity, and data analytics, alongside a strong acumen in finance and business modeling.
- Championed AI-driven design thinking processes, leading to a 25% increase in product innovation and a 40% improvement in user experience metrics.
• Executed negotiation and conflict resolution strategies that reduced vendor costs by 20%, while maintaining a 95% satisfaction rate among technology partners.
• Showcased exemplary management of self by pursuing advanced AI certifications, resulting in a 30% enhancement in team’s AI capabilities.
• Directed strategic thinking in AI deployment, which contributed to a 50% growth in data-driven decision-making efficiency across the company.
• Attained customer centricity with AI analytics, achieving a 60-point rise in customer satisfaction scores and a 35% increase in customer retention.
• Led AI renewing through innovation, introducing machine learning models that cut down product development time by 50%.
• Navigated AI competition in the digital age, successfully launching an AI platform that captured a 20% market share within the first year.
• Pursued global opportunities in a deglobalizing era, leveraging AI insights to expand into 4 new international markets, resulting in a 12% YOY revenue increase.
• Practiced transformational leadership, mentoring a team of data scientists and AI experts that boosted the company’s innovation index by 45%.
• Managed change effectively, overseeing an AI system integration with a 99% employee adoption rate within three months post-implementation.
• Unleashed technology growth in AI, driving the development of proprietary AI algorithms that enhanced predictive analytics accuracy by 55%.
• Enhanced communication within the tech department, implementing AI-driven tools that improved project coordination and reduced miscommunication by 30%.Demonstrated a strategic vision in leading technology initiatives, emphasizing team building and cross-functional collaboration. - Successfully managed complex projects, driving innovation and operational excellence across the organization, while ensuring alignment with long-term financial goals and business strategies.
- Spearheaded the development and implementation of advanced digital and data strategies as Chief AI Officer, specializing in AI and Data Analytics.
- Expertly integrated cutting-edge artificial intelligence tools into business strategies, significantly enhancing operational efficiencies and competitive positioning.
- Led cross-functional teams in aligning technological innovations with strategic business objectives, fostering a robust, data-driven culture that accelerated organizational growth and responsiveness to market dynamics.
Senior Director of Technology AI
Philips
10.2022 - 03.2024
- Experience sharing insights and recommendations to audiences with varying levels of analytic understanding
- Lead data science teams and choreograph delivery
- Team player with a
- Identify, promote and lead process improvements including streamlining, automating, and standardizing data processes. Research best practices and propose innovations designed to enhance Risk Management’s ability to increase profitability and enhance customer experience. Build frameworks to test data used for risk models simultaneously
- Partner with internal and external clients to identify business opportunities and develop robust advanced analytics solutions (e.g., predictive models, LTV, propensity models)
- Lead large scale projects that utilize online & offline data, structured & unstructured data, set- top box data (media/behavioral/attitudinal) to build customer centric models and optimization tools
- Partner with marketing, finance and field ops teams in developing & executing real-time targeting & optimization platforms
Data Science & AI Senior Manager
Accenture
07.2021 - 10.2022
- Extensive Experience on Online Stream Learning,Pyspark and Google colab.
- Data science Devops Platform operational model monitoring metrics using Airflow and Data Bricks.
- Unbalanced Class Problems (Range of classification problems using Hybrid approach of Statistical & Deep Learning) .
- Analyzed customer’s spending behavior, including mapping location of spenders to identify fraudulent transactions from non-fraudulent ones, increasing accuracy rate by over 97%.
- Research based Internal projects – GAN, Continuous Learning, Catastrophic Forgetting (e.g. Elastic Weight Consolidation, & so on) .
- Created data mining architectures and models to identify trends in large data sets.
- Translated cost and benefits of machine learning technology for non-technical audiences.
- Created data visualization graphics, translating complex data sets into comprehensive visual representations.
- Applied appropriate data science techniques to solve business problems.
Data Science Manager
Bank of America
04.2021 - 07.2021
- Utilized advanced querying, visualization and analytics tools to analyze and process complex data sets.
- Worked with stakeholders to develop quarterly roadmaps based on impact, effort and test coordination.
- Lead of team of scientists on solving science problems with a high degree of complexity and ambiguity.
- Machine Learning Model developed using NLP and Convolution networks to classify Loan Documents and Extract linkages between Different Loan documents using OCR Data
- Extract loan data and Documents on high accuracy on Information Extraction and Document Classification based on F1 score and confusion matrix. Ignite and Snorkel used for Annotation to extract information and classify document type as agreement, amendment ,note
- Analytics to Target Right Customers (Retail Bank& Insurance)
- Data preparation (missing value treatment, transformation), feature selection using domain understanding, F- test/PCA/ & so on and classification using Decision tree & Random Forest based on household information from survey data, digital data obtained from external sources and company customer data
- Logistic Regression and ANN based models gave best performing models for two clients respectively
- Solution was deployed using MS Azure platform with ML models using Python customization.
Senior Data Scientist
Verizon Data services India Pvt Ltd
04.2015 - 04.2021
- Utilized advanced querying, visualization and analytics tools to analyze and process complex data sets.
- Customer Churn Prediction in Telecommunication Industry.
- Predicted customer churn for telecommunications service vendors with supervised machine learning
models including Logistic Regression, Random Forest and KNN, and achieved 91% accuracy. - Performed predictive analytics on data collected by their devices for gaining valuable insights. Made insights that helped them in making some smarter data-driven decisions for becoming faster and better.
- Reduction of fraudulent activities in Telecom caused by unauthorized access, fake profiles, misuse of credit/debit card information by Data science and ML models.
- Performed data-cleaning, categorical feature transformation and standardization, evaluated model
performance via k-fold cross-validation - Worked with stakeholders to develop quarterly roadmaps based on impact, effort and test coordinations
Lead Data Scientist
HCL Technologies
10.2013 - 04.2015
- Created and implemented new forecasting models to increase company productivity by risk management, data science and/or loss forecasting, in payments space
- Developed customer segmentation with ML algorithms to boost sales leads and increase in market share by 28%.
- Conducted analysis and patterns on customer’s dispute and claim in different location, different categories and different months .
- Built company A/B testing frameworks to test model quality and Reduce transaction loss by Reducing Claim rate in Risk Management.
- Received, cleaned and prepared data from client using Pandas, SQL and Excel to help data scientists built marketing models that resulted in introducing new initiatives.
- Collaborated with data engineers and operation team to implement ETL process, wrote and optimized SQL queries to perform data extraction to fit analytical requirements.
- Explored and analyzed customer specific features by using dashboards in Tableau.
- Extracted data from different flat files, MS Excel, MS Access and transformed data based on user requirement and loaded data into target, by scheduling sessions.
Data Scientist
Tech Mahindra
05.2011 - 10.2013
- Utilized advanced querying, visualization and analytics tools to analyze and process complex data sets for business use cases unauthorized access, fake profiles, misuse of credit/debit card information,
- Modeled Customer Lifetime Value predictions with feature selection algorithms.
- Tested and validated models for accuracy of predictions in outcomes of interest.
- Identified, measured and recommended improvement strategies for KPIs across business areas.
- Built company A/B testing frameworks to test model quality.
- Created and implemented new forecasting models to increase company productivity.
- Predicting Customer Lifetime Value and Provide Telecom services to different segments of customers based on predictions with increased retention by 5%
Education
MBA - Business Management
P.G Anna University
Chennai 08.2012 - 09.2014
B.E - ECE
Engg College-Anna University
Chennai 09.2007 - 05.2011
HSC -
A.V.Meiyappan Matriculation
Chennai 06.2006 - 05.2007
SSLC -
Karthigeyan Matriculation
Chennai 06.2004 - 06.2005
Skills
Data Science
Machine Learning
Deep Learning
Stakeholder Management
Market Research
Artificial Intelligence
NLP
Budget Management
Python
Portfolio Management
Product Develeopment
Strategic Leadership
Agile Methodologies
Project/Team Management
Devops Integration
Business Analysis
Data evaluation
Data science research methods
Business Operations
Accomplishments
- Data Science with Machine Learning, Deep Learning & AI Certified by NIT
- PCAP –certified on Python Programming
- Collaborated with team of 24 in the development of
- Supervised team of 12 staff members.
- Documented and resolved Claim Reduction on E commerce which led to 15% Reduction in Transactional Loss.
- Achieved Improved Performance and GUI for model training by introducing Dataiku for Data preprocessing and Modelling tasks.
Additional Information
- Awards: , Team Player award 2012 by Tech Mahindra Best Team for year 2014 by HCL 2 Spot light awards in Verizon
Timeline
Chief Data & Analytics Officer - AI / Gen AI
ProV Technologies
2024.03 - Current
Senior Director of Technology AI
Philips
10.2022 - 03.2024
Data Science & AI Senior Manager
Accenture
07.2021 - 10.2022
Data Science Manager
Bank of America
04.2021 - 07.2021
Senior Data Scientist
Verizon Data services India Pvt Ltd
04.2015 - 04.2021
Lead Data Scientist
HCL Technologies
10.2013 - 04.2015
MBA - Business Management
P.G Anna University
08.2012 - 09.2014
Data Scientist
Tech Mahindra
05.2011 - 10.2013
B.E - ECE
Engg College-Anna University
09.2007 - 05.2011
HSC -
A.V.Meiyappan Matriculation
06.2006 - 05.2007
SSLC -
Karthigeyan Matriculation
06.2004 - 06.2005