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Christy Persya Appadurai

Director, Data Science at Amsive

Broomfield, United States

Data Scientist with strong foundation in computer science, modeling, statistics, and Analytics. Passionate about deep learning in text analytics. Experienced researcher and professor with a demonstrated history of working in the education management industry. Experienced in working with large datasets and using advanced data analysis to answer complex questions with accuracy, applying sophisticated tools and techniques. Experienced in using statistical techniques and modelling with real-world, messy data. Proficient in the modern machine learning toolkit, including supervised and unsupervised learning techniques, and practically how to build predictive models.

Christy Persya Appadurai Points
Academic 35
Author 15
Influencer 1
Speaker 6
Entrepreneur 0
Total 57

Points based upon Thinkers360 patent-pending algorithm.

Thought Leader Profile

Portfolio Mix

Company Information

Company Type: Enterprise
Minimum Project Size: $25,000+
Average Hourly Rate: $50-$99
Number of Employees: 501-1,000
Company Founded Date: Undisclosed

Areas of Expertise

AI 30.18
Big Data 30.02
Culture 30.02
Customer Experience 30.10
Design Thinking 30.21
Digital Transformation 30.05
Emerging Technology 31.63
Generative AI 30.12
Health and Wellness 30.32
Innovation 30.17
Leadership 30.09
Mental Health 30.09
Predictive Analytics 30.18
Project Management 30.10
Quantum Computing 30.25
Social 30.11

Industry Experience

Publications

15 Article/Blogs
Quantum Machine Learning(QML)
Medium
April 03, 2025
Quantum Machine Learning (QML) represents the fusion of quantum computing and machine learning, exploring how quantum advantages can improve machine learning tasks, while also using machine learning to address challenges in quantum computing.

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Tags: AI, Predictive Analytics, Quantum Computing

The Power of Emotional Intelligence in Analytics and Data Science Leadership
LinkedIn
March 31, 2025
Inspired by the principles in Emotional Intelligence 2.0 by Travis Bradberry and Jean Greaves

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Tags: AI, Leadership, Predictive Analytics

The Power of Consistency and Perseverance: A Lesson from Nature
LinkedIn
February 27, 2025
Success and growth are not about a momentary burst of energy; they are about the quiet, consistent work that transforms us and leads to a bountiful harvest.

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Tags: Health and Wellness, Leadership, Mental Health

“Exploring Generative AI: Foundations, Applications, and Key Concepts”
Medium
January 29, 2025
Generative Artificial Intelligence (GenAI) refers to a subset of AI that focuses on creating new content — whether that’s images, text, audio, or even videos — based on patterns learned from existing data. Unlike traditional AI, which is often used for tasks like classification, regression, or predictions, generative AI can produce new and original outputs. The capabilities of GenAI have gained significant attention due to their potential in creative fields, automation, and even scientific research.

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Tags: AI, Generative AI, Predictive Analytics

Understanding Generative AI: Origins, Evolution, and Current Landscape
Medium
January 29, 2025
Generative AI plays the major role in the future of artificial intelligence (AI). It has revolutionized fields like content creation, design, and problem-solving by generating new, original content or solutions based on data patterns. Here's my article that explains its evolution in a simple and easy-to-understand way.

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Tags: Generative AI

The Impact of Digital Consumption vs. Reading on Brain Activity and Well-Being.
LinkedIn
January 24, 2025
Scrolling through social media versus more traditional activities like reading books and spending time outdoors. Do you think we need a balance???

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Tags: Health and Wellness, Mental Health

100 days from today would be December 31, 2023
LinkedIn
September 22, 2023
"You have 100 more days to finish this year strong!!!!!"

I would like to share a few encouraging tips to finish strong, to start strong.

#motivation #encouragement #finishstrong

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Tags: Health and Wellness, Leadership

How do you like to call yourself: A Leader or A Boss?
LinkedIn
July 25, 2023
Are you a Leader or a Boss...?

My aspiration to grow with a leadership style "Trust and Inspire."

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Tags: Culture, Digital Transformation, Leadership

Generative AI to drive Intelligent Customer Experience. Is Microsoft Fabric a solution?
Medium
June 15, 2023
In today’s scenario, Machine learning (ML) models play a significant role in accelerating customer-centric transformations for businesses. They can help businesses better understand their customers and deliver a personalized customer experience, which is becoming increasingly important in today’s competitive market.
Intelligent CX can increase ROI with AI-driven Copilot experiences by taking smarter actions more quickly, from creating new reports and consuming data to identify insights and even writing calculations to measure the impacts.

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Tags: Customer Experience, Generative AI, Predictive Analytics

Leading in the Age of AI
LinkedIn
April 27, 2023
AI/ML is redefining the business world and has changed the way the business operates. Leaders who embrace AI/ML and other digital transformation technologies can help increase success within their organization.

Leaders need the big-picture vision with AI Mindset understanding how AI/ML can transform business and lead to new business opportunities.

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Tags: AI, Leadership, Predictive Analytics

Women, dust the dirt and get up!
LinkedIn
March 08, 2023
Motivational thought on Women's Day 2023.

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Tags: Social, Health and Wellness

Glass Box ML Model: Microsoft’s InterpretML to explain a Telco customer churn model
Medium
February 14, 2023
A machine learning model not explained is equal to the model not built.

Every organization strive be data-driven in this digital transformation era. Data gathering and build machine learning (ML) models are the focus. ML is being used in every sector of business-like operations, IT Ops, marketing campaigns, sales, pricing and strategy, and customer service. For a machine learning model to be deployed and operationalized successfully, the explainability [Glass-box model] part plays an important role. The knowledge of understanding the actual features influencing the prediction at the overall level and per prediction increases the confidence of the stakeholders and the users.

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Tags: AI, Big Data, Predictive Analytics

Four Essentials to manage Data Science Projects Effectively
LinkedIn
November 15, 2022
Data science without effective management is like playing chess without knowing how to move your pieces.

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Tags: AI, Leadership, Project Management

Estimating business value based on the Loyalty economics linkage analysis
Medium
October 07, 2022
Data Science in customer experience(CX) can help companies to understand their customers in a hyper-personalized way. In today’s digital transformation, wealth of data can be handled in a better way by leveraging the machine learning and AI to create personalized recommendation for every single customer specific need along their journey.

Data driven organizations make use of their data with linkage analysis and deepen it with external signals to understand the underlying fact and develop predictive models that can alert with early signals and recommend actions that help to retain the customer and create personalized experiences.

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Tags: AI, Customer Experience, Predictive Analytics

Using Responsible Machine Learning To Drive Customer-Centric Insights
Lumen
July 22, 2022

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Tags: AI, Customer Experience, Predictive Analytics

3 Conference Publications
Model based design of super schedulers managing catastrophic scenario in hard real time systems
2013 International Conference on Information Communication and Embedded Systems (ICICES)
February 21, 2013

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Tags: Emerging Technology

Critical task re-assignment under hybrid scheduling approach in multiprocessor real-time systems
The 23rd IASTED International Conference on Parallel and Distributed Computing and Systems, ~PDCS 2011
December 14, 2011

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Tags: Emerging Technology

Fault tolerant real time systems
International Conference on Managing Next Generation Software Application (MNGSA-08), Coimbatore, 2008
January 21, 2010

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Tags: Design Thinking, Emerging Technology, Innovation

4 Journal Publications
PROACTIVE DETECTION OF CATASTROPHE TRENDS FOR RESCHEDULING REAL-TIME SYSTEMS WITH SCENARIO SHIFT
International Journal of Computer Science and Information Security (IJCSIS)
November 10, 2017

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Tags: Emerging Technology

Intelligent Real-Time Systems for Managing Catastrophe through Scenario Shift Paradigm
International Journal of Computer Applications, Foundation of Computer Science (FCS), NY, USA
November 02, 2015

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Tags: Emerging Technology

Advances in Scheduling Approaches in Real-Time Systems
The International Congress for global Science and Technology.- Journal of Automatic Control and System Engineering
October 01, 2015

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Tags: Emerging Technology

Effective Application of Catastrophe Theory in Real Time Systems for Scenario Shift Management
International Journal on Recent Trends in Engineering & Technology
July 01, 2014

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Tags: Emerging Technology

1 Speaking Engagement
Machine Learning Conference MLConf, New York 2023
MLConf
March 30, 2023
Speaking on the topic: ML Models Drive Actions to Accelerate Customer Centric Transformations

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Tags: AI, Customer Experience, Predictive Analytics

1 Webinar
Predictive Analytics Models
Ramrao Adik Institute of Technology
December 09, 2020
Digital revolution has staged its position in today’s economic development. Data driven decisions drives the business goals. It changes the way business operates and delivers value to the customers. Machine learning and artificial intelligence are the key drivers in this digital transformation. Predictive analytics combines the variety of statistical techniques and machine learning algorithms to predict the future events based on the current and historical facts. The use of predictive analytics is a key milestone in this transformation in many applications like healthcare, finance, retail, telecom, transport, and banking. Logistic regression is one of the best algorithms that uses a mixture of continuous and discrete predictors to predict discrete variables. This webinar will demonstrate about a predictive analytics model to identify why a customer leaves and when they leave with reasonable accuracy using logistic regression classifier model.

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Tags: AI, Digital Transformation, Predictive Analytics

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