Rahil M. Email & Phone Number

Kuala Lumpur, My

Kuala Lumpur, Federal Territory Of Kuala Lumpur, Malaysia

- Orchestrated the seamless deployment of machine learning projects into production, ensuring optimal integration and operational efficiency.- Implemented and monitored diverse machine learning projects using tools such as MLFlow, enhancing model performance, ensuring consistency, and proactively detecting and addressing data drifts.- Developed and maintained REST APIs to facilitate seamless communication between various systems and applications, enhancing integration and functionality.- Provided essential support for the migration of data projects from traditional Airflow orchestration to the more efficient Airflow EKS environment, leveraging Docker and Kubernetes for streamlined operations.- Strategically reduced operational costs and enhanced resource utilization by optimizing existing projects and user code, leading to significant improvements in efficiency. - Integrated Vector Databases into the ecosystem for LLM models, innovating new data processing systems to enhance workload efficiency and drive AI capabilities.- Expertly troubleshooted complex data pipelines, optimized cross-platform SQL scripts, managed Airflow orchestration, and efficiently handled Data Migration Service (DMS) issues across Redshift and BigQuery.- Fulfilling ad hoc stakeholder data requests, contributing to improved business operations.

Kuala Lumpur, Federal Territory Of Kuala Lumpur, Malaysia

- Managing and driving major strategic projects to improve Business Metrics and taking responsibility of cost efficiency and revenue management of SOCAR and TREVO (Malaysia & Indonesia).- Performing customer segmentation to cluster users on their personas, behaviors and spending habits. Executing business decisions based on composed results. Revenue: RM 172k+.- Creating dynamic pricing models using user, environment & time-based conditions to adjust prices in real-time and suit market demand and supply. Revenue: RM 300k+.- Analyzing, evaluating and verifying insurance pricing models for risk management to prevent/minimize damage and financial loss.- Conducting car pricing standardization through variables of supply, demand and asset value to structure and level an effective business strategy in car listings. - Minimizing cost per leads of hosts throughout Malaysia using data available on social media platforms to target ads. - Designing new schemas and tables on Databricks using Pyspark, MongoDB and Kafka for the entire company’s data access and management. - Optimizing and monitoring the data pipeline for traffic, bottlenecks and visuals.

Kuala Lumpur, Federal Territory Of Kuala Lumpur, Malaysia

Malaysia

- Performed market and data analysis with financial projections; driving insights and adding in revenue to the company by securing RM 900k+ from CREST with an 18-month grant.- Working on Li-Fi transceivers by improving throughput, bandwidth, and overall efficiency to add in market value to the company. - Integrating with ESP32 for vertical handover.- Designing Smartsheets for Project Management.

Malaysia

- Assisting in establishment of new department: ‘iCONNECT’, allowing new pioneering jobs to open.- Invitation to CREST HQ in Penang to propose the company's innovations with schematics, data and other documentations.- Researching on Hybrid Visible Light Communication (HVLC).- IP Patent Writing.- Reporting to the Program Director for daily assistance and activities.

Master'S In Data Science, Data Science, 3.91 Gpa | 10 A'S

Activities and Societies: University Malaya International Students' Association (UMISA)Projects: - Predicting the Price Direction.

Bachelor Of Engineering (Hons), Electrical And Electronics Engineering, 4.0 Gpa | Scholarship Student

Projects: - Comparative Study of the Performance of 4 Different Substrates in a Square Microstrip Patch Antenna. - Development.

Education record

Queensland Curriculum of Education (QCE) International Baccalaureate (IB) subjects in Physics, Chemistry & English

Education record