- Leading the design, development, and implementation of AI/ML projects in the telecom domain, including natural language processing and predictive modeling. - Collaborating with cross-functional teams, including data scientists, engineers, and business stakeholders to identify business problems and develop data-driven solutions. - Identifying data sources, collecting and cleaning data, and conducting exploratory data analysis to identify patterns, trends, and anomalies. - Developing and deploying AI/ML models using tools such as Python, R, and SQL and ensuring model performance and accuracy through ongoing monitoring and validation. - Communicating project progress and results to stakeholders, including senior management, business units, and customers, and making recommendations for future enhancements and improvements.

- Conducting market research and analysis to identify trends, opportunities, and threats in the telecom industry, including new technologies, competitive landscape, and regulatory changes. - Providing strategic advice and recommendations to senior management and business units on market trends, customer needs, and business models to support growth and profitability. - Developing and maintaining relationships with key industry players, including telecom operators, equipment vendors, and regulatory agencies, to stay current on the latest industry developments and best practices. - Collaborating with cross-functional teams to develop business cases and project plans for new initiatives, including product launches, network upgrades, and mergers and acquisitions. - Communicating findings and recommendations to internal and external stakeholders, including executive management, board members, and investors, through presentations, reports, and other forms of communication.

- Identifying and analyzing potential fraud risks and vulnerabilities in telecom systems, including billing, call routing, and network infrastructure, and developing strategies to mitigate these risks. - Conducting fraud investigations, including data analysis and forensic investigations, to identify fraudulent activity and determine the extent of losses incurred by the company. - Collaborating with cross-functional teams, including legal, compliance, and operations, to develop policies and procedures to prevent fraud, and ensure compliance with regulatory requirements. - Developing and implementing fraud detection and prevention systems using data analytics and machine learning techniques, and continuously monitoring the effectiveness of these systems. - Providing training and education to internal stakeholders, including customer service representatives and network engineers, to raise awareness of fraud risks and promote best practices for fraud prevention and detection.

- Designing, implementing and managing billing systems and processes for telecom operators, ensuring accurate billing and timely invoicing of services. - Conducting billing audits and reconciliations to identify and resolve discrepancies and errors, and ensuring compliance with regulatory requirements. - Collaborating with cross-functional teams, including customer service, finance, and sales, to develop pricing and packaging strategies for telecom services. - Developing and implementing pricing models and rate plans, and analyzing customer usage patterns to optimize revenue generation and profitability. - Providing training and education to internal stakeholders, including customer service representatives and sales teams, to ensure a high level of understanding of billing systems and processes, and promoting best practices for billing accuracy and customer satisfaction.

- Developing and implementing revenue assurance strategies, policies, and procedures to ensure the accuracy and completeness of billing and revenue reporting. - Conducting revenue analysis and forecasting to identify potential revenue leakages and opportunities for revenue optimization, and recommending corrective actions. - Collaborating with cross-functional teams, including finance, legal, and compliance, to ensure compliance with regulatory requirements and industry standards. - Designing and implementing revenue assurance systems and tools, including data analytics and machine learning techniques, to improve revenue management and reduce revenue loss. - Providing training and education to internal stakeholders, including customer service representatives, sales teams, and finance teams, to promote awareness of revenue assurance risks and best practices, and ensure a high level of compliance with revenue assurance policies and procedures.

- Identifying and analyzing revenue leakage and fraud risks in telecom systems, including billing, charging, and customer care systems, and developing strategies to mitigate these risks. - Conducting revenue assurance audits and reconciliations to identify and resolve discrepancies and errors, and ensuring compliance with regulatory requirements. - Developing and implementing revenue assurance frameworks and controls, and continuously monitoring and improving the effectiveness of these controls. - Collaborating with cross-functional teams, including finance, billing, and operations, to identify revenue leakage issues and develop solutions to address them. - Providing training and education to internal stakeholders, including customer service representatives and billing teams, to raise awareness of revenue assurance risks and promote best practices for revenue management and optimization.

- Conducting detailed analysis of telecom billing and revenue data to identify potential revenue leakage and fraud risks. - Collaborating with cross-functional teams, including revenue assurance consultants, finance, and operations, to develop and implement revenue assurance controls and processes. - Conducting revenue assurance audits and reconciliations to identify and resolve discrepancies and errors in billing and charging systems. - Developing and maintaining revenue assurance reporting and dashboards to track revenue performance and identify trends and anomalies. - Providing training and education to internal stakeholders, including customer service representatives and billing teams, on revenue assurance best practices and procedures.

- Conducting credit risk assessments of consumer loan and credit card applications, analyzing credit reports, income statements, and other financial information to evaluate creditworthiness. - Developing and implementing credit risk management strategies and policies, and monitoring credit portfolios to ensure adherence to these policies. - Conducting ongoing risk monitoring and analysis of credit portfolios, identifying trends and anomalies, and recommending actions to mitigate credit risk. - Collaborating with cross-functional teams, including marketing, sales, and operations, to develop and implement marketing and customer retention strategies that minimize credit risk. - Providing training and education to internal stakeholders, including customer service representatives and loan officers, on credit risk management best practices and procedures.

- Conducting detailed analysis of telecom billing and revenue data to identify potential revenue leakage and fraud risks. - Collaborating with cross-functional teams, including revenue assurance consultants, fraud analysts, finance, and operations, to develop and implement revenue assurance and fraud prevention controls and processes. - Conducting revenue assurance audits and reconciliations to identify and resolve discrepancies and errors in billing and charging systems. - Investigating potential instances of telecom fraud, analyzing transaction and call data to detect patterns and trends, and recommending actions to mitigate fraud risks. - Providing training and education to internal stakeholders, including customer service representatives, billing teams, and network engineers, on revenue assurance and fraud prevention best practices and procedures.