Current Projects:Language Quality Measurement:Develop and deploy advanced ML models to enhance language quality in sales agent-lead conversations.Iteratively improve models for ongoing actionable insights.Query Identification and Resolution:Engineered algorithms to identify lead queries during sales agent interactions.Tracking and analyzing resolution status, reporting average response times for customer inquiries.Scheduling Automation:Implement ML-driven solutions for identifying and responding to lead scheduling messages.Automate scheduling and reminders for timely engagement based on lead preferences.Conversion Prediction:Developing predictive models to assess lead conversion likelihood based on conversation data.Analyze conversation patterns, identifying key indicators for successful conversions.

Key Responsibilities:Work closely with the business team to assess the requirement of client companies for their business specific location analytical solutions. Conceptualize and develop analytical models by making decisions with designing suitable algorithms/methodologies and work with the development team with the implementation of models to enable the analytical solution. Actively involved in the development and management of data architecture to handle large data sets captured from millions of devices on a daily basis across multiple locations around the world. Develop Proof of Concepts (PoC's) by gathering necessary data from various sources to execute exploratory data analysis and gap analysis.Work closely in a cross-functional team to continually improve existing methodologies, processes, and deliverables.Develop and manage periodic generation of business specific Ad Hoc reports and interactive dashboards.Projects and Achievements:Actively involved in successful completion of 20+ location analytics projects for many business sectors including OOH Media (JCDecaux Group, Rapport), Retails (FNAC, ALDI, Inorbit, Ethos), Virgin Media Group and Vodafone.Design, developed and deployed an indoor positioning system (IPS) to trace visitor movement by using core concepts from polynomial regression, trilateration, exponential moving average and graph-based clustering. IPS achieved an visitor positioning accuracy of 3 meters which allows retailers and shoppers to gain insights on their customers and enhance their business strategies.Enhanced existing location analytics platform by improving core mechanics like outliers detection, clustering and graph model. Added important metrics like visitor location affinity, visitor path, sensor downtime analysis and multiple estimation metrics to increase the scope of the analytical platform.

Key Responsibilities:• Carrying out research in the field of advanced data mining focusing big data analysis on a variety of research projects using Hadoop and Java. • Liaising with industry partners ANZ Bank and Monash eResearch Centre.• Professionally presenting information, reports and recommendations to a variety of audiences.• Investigating and documenting key data and information at the request of senior researchers.Key Achievements:• Achieved the Best Paper Award in Australasian Data Mining and Analytics Conference (A rank Industry-based International Conference)• Published multiple research paper in prestigious international conferences and journals.• The result from the research has been cited in the financial industry publications to help business gain insights into their own massive amount of data  http://www.itnews.com.au/news/me-bank-hires-data-boss-in-it-exec-restructure-411908 https://bluenotes.anz.com/posts/2015/03/big-data-from-customer-targeting-to-customer-centric/ https://rcblog.erc.monash.edu.au/blog/2015/12/big-data-mining-market-segmentation-of-anz-bank-eftpos-data

Key Responsibilities:• Responsible for carrying out teaching and research duties for three PG courses: Natural Computations for Intelligent Systems, Information Retrieval Systems and Advanced Data Mining.• Assessing and updating course work and material.• Course work includes topic on: o Data preprocessing techniques o Developing an Information Retrieval system using natural language processing techniques.o Frequent itemset mining methods and pattern matching methodso Advanced classification method using Neural Networks, Support Vector Machine (SVM), Bayesian Networks and others.o Advanced clustering methods using partitioning, hierarchical and other methods.o Data visualization techniques. • Involved in the set-up of exams and the marking of results.• Responsible for the departmental administrative tasks.• Providing mentoring, advice and support to students on a personal level.• Actively leading class discussions and encouraging debate.• Working on a strict timelineKey Achievements:• Achieved and maintained a high Teaching Evaluation score (above 4.5 out of 5)• Consistently received excellent feedback from supervisors and students.

• Stock control, producing staff rotations and balancing the tills • Interaction with guests, assessing their requirements and ensuring timely and satisfactory service.