Project -Customer Retention: Prepaid & Post-paid • Developed and deployed machine learning models to predict customer churn, achieving a 15% improvement in retention for prepaid and post-paid users.• Analysed customer behaviour and usage patterns to create segmentation models, enabling tailored retention strategies and boosting ARPU by 10%.• Led the design of real-time analytics platforms to monitor key metrics like recharge frequency, data consumption, and payment delays, ensuring proactive customer engagement.• Collaborated with marketing teams to optimize retention campaigns, improving the effectiveness of loyalty programs and special offers for targeted segments.• Integrated insights from customer interaction data across channels, enhancing customer lifetime value (CLTV) through personalized retention strategies and predictive analytics.

Project Name - Finance, Sales & Marketing , Procurement , Logistics & B-BBEE• Developed predictive analytics and sales models for real-time tracking and optimization of supply-demand, leading to a 20% increase in sales and improved SLA compliance.• Integrated sales and finance models to assess product margins by customer and location, driving strategic decision-making for key products and reducing inefficiencies by 28%.• Led Data Analytics and ML projects, mentoring junior engineers, and built a platform using Python and TensorFlow that improved customer retention by 15%.• Designed and maintained BI dashboards and real-time KPI monitoring systems, enabling data-driven decisions and enhancing operational efficiency.• Conducted extensive data analysis and feature selection, identifying trends and customer behaviour patterns for actionable business insights.

Project Name - Revenue Assurance , Finance Analysis, Budget Plan , Day to Day Operation Analysis ,Profit & Loss Analysis• Directed data analysis projects for Revenue Assurance, Finance Analysis, Budget Planning, and Network Planning, achieving a 30% cost reduction through strategic implementation and analysis.• Leveraged BI tools like Power BI, Tableau, and Business Objects to extract deep insights from data repositories, enhancing decision-making.• Managed a team of data analysts to analyse large datasets, uncovering trends and patterns to drive business strategies. • Optimized machine learning models using high-performance computing and real-time techniques.• Applied SQL, Tableau & Power BI for advanced data post-processing and visualization, significantly improving project benchmarks and performance tracking.• Designed and implemented dashboards for real-time KPI tracking, boosting operational efficiency and facilitating stakeholder decision-making.

Project - Budget Planning, Network Planning & Traffic Management and Forecasting• Analysed faults and historical data through BI tools, optimizing site performance and KPI monitoring for customer submissions.• Automated dashboard updates using SQL Server and created interactive dashboards with Tableau and Power BI for KPI monitoring.• Conducted predictive analysis using PP data from logs to forecast trends and improve decision-making.• Conducted exploratory data analysis and feature engineering to prepare data for machine learning models, leading to a 10% improvement in model accuracy.

1-Participated in team projects, demonstrating the ability to work collaboratively and effectively.2-Proved successful working within tight deadlines and a fast-paced environment.3-Responsible for daily 27 Cluster network health monitoring through analysis on 3G KPI & 4 G KPI reports (Accessibility, Retain-ability, mobility, integrity ) accordingly taking action on KPI degradation.Working Call Drop Improvement project of Top 8 Main Place of Johannesburg on every week and provide Analysis for the Degraded cell as compared to last week.4-Working on Data Throughput of U900 & U2100 & LTE for the Top 8 Main places of Johannesburg on a weekly basis. And provide a solution for improving the network Throughput.

1-Used strong analytical and problem-solving skills to develop effective solutions for challenging situations.2-Proven ability to develop and implement creative solutions to complex problems.3-Responsible to manage of various LTE KPIs of Accessibility, retainability and Mobility Class which includes (RRC Setup success rate, ERAB Setup Success rate, IRAT Handover success rate, DL & UL Throughput measurement & Drop calls etc.)4-Analyzing drive logs and suggesting getting rid of drops, blocks, missing Neighbor and low throughput, PCI Collision using Analyzer.5-Performing site configuration checks, Power settings, Antenna configurations, implemented PCIs , PCI clashes, azimuth, Hand over , ANR , and parameters prior to Drive test.

1-Analysis of log files to find a reason for call drop, and bad coverage. 2-Tuning of New sites using Drive Test and Survey of new sites3-Troubleshooting network problems through Drive test Tools4-Making reports of network quality, level using map info.5-Primary verification of drive test data for 2G site and taking Necessary and corrective measures, like Neighbor list addition, BCCH change request etc.6-Analysis of call drop, blocked calls, poor coverage, and Quality and take Necessary action to remove drop calls and poor coverage