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Information Technology - AI & Automation (NEW)
(Gold Winner)

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#TBA04314

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PO Created Date

2025-02-24 20:59:58

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2025-02-24 21:00:31

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2025

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TBE104796

Entry Submission Date

2025-02-24 02:39:20

Member's Name

Sasikiran Vepanambattu Subramanyam

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sasikiranvsub@gmail.com

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Others

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IT25003 - AI & Automation (NEW)

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Project Description

Project Description for Judges

Question 1 : Provide a brief description / background of your nominated organizational, departmental, team, or individual circumstance. (Your response to this question will be used for public display if your entry is awarded.)

Description:
Ankit Awasthi is a distinguished Engineering Leader with extensive expertise in developing AI-powered marketing automation solutions. His innovative approach to leveraging machine learning for customer engagement has transformed how businesses interact with their audiences at scale. As an accomplished technical leader, he has demonstrated exceptional ability in architecting and implementing predictive analytics systems that process billions of data points to deliver personalized customer experiences. His commitment to security and privacy compliance while building scalable AI solutions has set new industry standards.
Background:
With a profound understanding of machine learning systems and scalable architecture, Ankit has pioneered groundbreaking solutions in the marketing technology sector. His most notable achievement includes leading the development of Predictive Goals, an AI-driven platform that analyzes historical data to forecast user conversion patterns. This innovation enabled businesses to achieve remarkable results, including a 72% lift in converting inactive sellers to an active state and a 15% lift in buyer activation rates.
His technical leadership extends to developing sophisticated optimization algorithms, exemplified in his work on send time optimization systems that process 200,000 predictions per second with a 10ms latency. The impact of his innovations is evident through impressive customer success metrics:
Achieved 100% increase in open rates for blast campaigns and 27% increase in journey engagement rates for a leading sustainable banking platform
Delivered 30% improvement in open rates and 7% increase in click-through rates for a healthcare technology company
Generated 12% higher click rates for a premium jewelry retailer
His contributions have garnered significant recognition, including a Product of the Year award in sales and marketing technology. Ankit's work has resulted in multiple patent filings and processes billions of predictions weekly across diverse customer bases. His expertise in building automated feature engineering frameworks and implementing state-of-the-art feature selection techniques has established new benchmarks in the marketing technology industry. Additionally, his innovative use of SHAP values for feature importance estimation and development of normalized evaluation metrics has revolutionized how marketing automation performance is measured and optimized across different customer segments.

Question 2 : Outline your nominated organizational, departmental, team, or individual achievements, dated 1-3 years prior, based on your selected categories.

Professional Achievements:
As a distinguished Engineering Leader, Ankit Awasthi has demonstrated exceptional expertise in developing AI-powered marketing automation solutions. His groundbreaking work on Predictive Goals has revolutionized customer engagement strategies, processing billions of predictions weekly. His innovative platform achieved a remarkable 72% lift in converting inactive sellers and a 15% lift in buyer activation rates. Through his leadership in cross-functional collaboration, he has successfully aligned product requirements with technical implementation to deliver scalable solutions.
Technical Innovation:
Ankit's technical prowess is exemplified through his development of sophisticated optimization algorithms that handle 200,000 predictions per second with just 10ms latency. His architectural designs have enabled marketing platforms to deliver unprecedented performance improvements, including a 100% increase in campaign open rates and a 27% increase in journey engagement rates. His innovative use of SHAP values for feature importance estimation has provided unprecedented insights into prediction factors.
Recognition & Impact:
Secured multiple patent filings for innovative AI solutions in marketing automation and predictive analytics
Earned Product of the Year award in sales and marketing technology for pioneering work in optimization algorithms
Developed systems achieving 30% improvement in open rates and 7% increase in click-through rates for healthcare technology initiatives
Industry Leadership:
His expertise in building automated feature engineering frameworks has established new benchmarks in the marketing technology industry. His implementation of state-of-the-art feature selection techniques and development of normalized evaluation metrics has transformed how marketing automation performance is measured across different customer segments.
Performance Excellence:
Under Ankit's leadership, various enterprises have witnessed substantial improvements in their marketing metrics, including a 12% increase in click rates for retail platforms and 30% higher open rates across multiple sectors. His commitment to integrating security and privacy compliance while scaling AI solutions has set new industry standards, processing billions of data points while maintaining robust protection measures. Furthermore, his expertise in developing customer-agnostic frameworks for data type conversion and feature selection has enabled unprecedented scalability and effectiveness in predictive analytics implementations.

Question 3 : Provide examples of the strategies / plans you have introduced, in order to attain your nominated organizational, departmental, team, or individual achievements. Explain why the highlighted achievements are significant / unique.

Strategic Innovation Approach:
Ankit pioneered a transformative framework for automated feature engineering that intelligently processes diverse data types including numerical, string, datetime, and boolean values. His strategic implementation of Predictive Goals leverages state-of-the-art feature selection techniques, coupled with the innovative use of SHAP values for transparent feature importance estimation. This comprehensive approach enables processing of billions of predictions weekly while maintaining exceptional accuracy. The framework integrates seamless cross-functional collaboration between product, design, and engineering teams to ensure iterative improvements based on customer feedback.
Optimization Architecture:
His distinctive strategy for send time optimization incorporates a sophisticated clustering algorithm that significantly reduces feature vector complexity, enabling processing of 200,000 predictions per second with 10ms latency. The architecture includes innovative batching schemes for simultaneous user prediction serving, dramatically reducing cache calls while maintaining high performance. His design emphasizes robust security and privacy compliance while delivering high-scale predictions.
Performance Enhancement Framework:
Ankit's methodology includes developing normalized evaluation metrics for consistent performance measurement across diverse datasets. This framework has delivered remarkable results, including a 72% lift in seller activation and 100% increase in campaign open rates. His approach to evaluation incorporates both historical data analysis and real-time performance monitoring.
Why These Achievements Stand Out:
The uniqueness of Ankit's contributions lies in their scalability and universality. His automated feature engineering framework operates independently of customer-specific requirements, making it adaptable across industries. The implementation has demonstrated exceptional results:
Achieved unprecedented engagement improvements: 30% increase in open rates and 7% increase in click-through rates
Delivered consistent performance across sectors: 12% higher click rates in retail and 27% increase in journey engagement
Maintained robust security while processing billions of data points
His innovative approach to normalized metrics enables accurate performance measurement across varying dataset sizes, while his clustering algorithm solution effectively balances high-performance requirements with resource optimization. These achievements have earned recognition through multiple patent filings and a Product of the Year award, validating the distinctive nature of his contributions to AI automation.

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https://venturebeat.com/business/iterable-optimizes-ai-to-hyper-personalize-marketing-and-predict-future-purchases/	No	Display
https://finance.yahoo.com/news/iterable-introduces-ai-optimization-suite-160000914.html	No	Display
https://cxmtoday.com/news/iterable-optimizes-ai-to-hyper-personalize-marketing-predict-future-purchases/	No	Display
https://www.globenewswire.com/news-release/2024/12/12/2996373/0/en/Iterable-Reports-Record-Mobile-Marketing-Growth-on-Black-Friday-and-Cyber-Monday.html	No	Display

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