Abhijeet Pratap Singh Email & Phone Number

Noida, Uttar Pradesh, India

• Engineered and automated over 15 model scripts for Marketing and Customer Engagement team across 25 banks. This led to a remarkable 60% increase in customer feedback survey participation.• Employing advanced Python programming alongside REST API techniques, and fortified by (SFTP) secure data transfer protocol, the integration of deep learning and machine learning algorithms marked a paradigm shift. Through the implementation of parallel processing, this fusion of technologies orchestrated a symphony of smart automation, culminating in a remarkable reduction of 80%-90% in total work hours. Managed customer surveys via Automated WhatsApp through Neurosensum, facilitating seamless feedback collection. This liberation of resources has empowered teams to focus on strategic initiatives, heralding a new era of operational efficiency. Additionally, this initiative facilitated a significant expansion, showcasing a staggering 200%-300% increase in merchants, scaling from 1 million to an impressive 3 million, thus amplifying the impact across the ecosystem.• Spearheaded the design and implementation of a robust fraud detection system for the Risk team, meticulously identifying suspicious merchant activities. By flagging merchants attempting multiple combinations of the same address, this innovative approach introduced a novel user tagging system nationwide, resulting in a staggering 95% reduction in fraudulent transactions.• Leveraged Salesforce Marketing Cloud (SFMC) to optimize data storage and manipulation, revolutionizing efficiency by a remarkable 80%. This strategic integration propelled an overall efficiency surge of 90%, underscoring a profound transformation in operational effectiveness.

• Developed and implemented AI algorithms and models for various cybersecurity tasks, such as intrusion detection, malware analysis, threat intelligence, or anomaly detection.• Conducted security assessments of AI systems themselves to identify vulnerabilities and potential attack vectors. This involves understanding how AI models can be manipulated or compromised and developing defense mechanisms to mitigate these risks.• Documented research findings, methodologies, and experimental results in reports, papers, or presentations.

• Understanding how to design studies and experiments to gather data efficiently and effectively is crucial.• Learned statistical techniques used to analyze data, such as regression analysis, hypothesis testing, clustering, and predictive modeling.• Understood, learned and applied various statistical techniques are crucial. Including inferential statistics (e.g., hypothesis testing, confidence intervals), multivariate analysis (e.g., factor analysis, MANOVA), and predictive modeling techniques (e.g., regression analysis, machine learning algorithms).

Indian Institute Of Technology, Kanpur

• Designed the binary and multi class network intrusion detection system (NIDS).• Analysed and learned about Inter and external network Attacks in IOVs.• Implemented the ensemble learning approach for better performance of the system alongwith different learning algorithms.

Noida, Uttar Pradesh, India

• Designed Automatically Scripting Systems in back-end using data manual filing. • Applied enhanced learning libraries for data processing.• Learned about the transformation of data digitally and applied digitization processes.

Noida, Uttar Pradesh, India

Bachelor Of Technology - Btech, Information Technology, 3.30/4.0

Activities and Societies: IIRS - ISRO Learning Club, Aryabhatta - Research, Science and Innovation Club, Entrepreneurship Club Learned.

Cisce

Activities and Societies: Gymanstics , Adventure sports , Basketball