I am a versatile professional with over 18+ Years of experience in roles including Data Engineer, ML Engineer, Embedded Software Developer and tech lead, this extensive background enhances my adaptability, fuels my passi…
I am a versatile professional with over 18+ Years of experience in roles including Data Engineer, ML Engineer, Embedded Software Developer and tech lead, this extensive background enhances my adaptability, fuels my passion for continuous learning, and contributes to groundbreaking research initiatives. My achievements include leading high-performing teams, designing scalable ETL pipelines, optimizing data processing, collaborating effectively with data scientists, and staying at the forefront of machine learning advancements. My professional journey is marked by a commitment to solving intricate problems and nurturing innovation. Currently, I am pursuing a second master's degree online in 'Financial Engineering and Fintech,' with a focus on cutting-edge technologies like blockchain, quantum computing, AI, and algorithmic trading. I also have proficiency in IT Service Management (ITSM) and ITIL best practices, along with strong familiarity with Microsoft Azure for data engineering. Additionally, I have experience with BMC Remedy for IT service management, encompassing ticketing, asset management, and CMDB operations.
Developed and managed data pipelines for aluminium production cell’s controller data using Azure Data Factory (ADF) and Azure Databricks PySpark.
Configured ingestion pipelines to connect to Oracle SQL database and extract data received from 1800 microcontrollers across the plant.
Stored ingested data in Data Lake for efficient access and analysis in Azure Synapse analytics.
Optimized ETL workflows within ADF to improve data processing efficiency.
Transformed and prepared data into silver, bronze, and gold tiers using data processing and feature engineering techniques.
Monitored and maintained data pipelines to ensure consistent and reliable data ingestion.
Developed predictive models for aluminium production cell lifespan, bath temperature, and AlF3 concentration.
Leveraged domain expertise and data engineering skills to develop machine learning models.
Implemented predictive models to enable timely shutdowns and prevent production line bursts.
Innovated predictive models for bath temperature and AlF3 concentration to reduce manual measurements and optimize heat balance.
Played an active role in advancing EGA's digital transformation objectives by formulating strategic goals.
Evaluated cloud vendors on the technical front, selected the optimal cloud vendor, and secured cost-effective cloud services.
Led application teams responsible for EGA technology offerings for external and internal clients, including Bahrain (ALBA) and Indonesia (Inalumn).
Ensured ITSM compliance, managed end-to-end project execution, and maintained high client satisfaction.
Developed an AlF3 Control Algorithm to calculate the required optimum proportion of AlF3 concentration based on various coupled parameters.
Compensated the production cell by regularly recommending the controller in auto mode.
Created a control strategy application for a microcontroller (MCF5272, CMX RTOS) to enhance production control systems and database interfaces for potline programs.
Developed laboratory applications for processing chemical analysis data extracted from Quant, X-ray, Cruces Weight, and RMS analyses of aluminium samples.
Automated data handling to enhance efficiency and precision in the production line.
Mohammed Sadiq Master
Dubai, UAE, +971-50-9780726
[email protected]
LinkedIn Profile
Dear Employer,
I am writing to express my strong interest in the AI & ML and Data Engineer position. With experience spanning diverse roles in Software development and Tech lead in the field of data engineering, machine learning, and Embedded Software. I am excited to bring my expertise to your team and contribute to your innovative projects.
I hold a master's degree in computer science and engineering at PSG college of Technology, India, Additionally, I am pursuing second master’s degree online in financial engineering and fintech at the University of Alcalá in Spain, focusing on AI, blockchain, quantum computing, and financial models.
Certifications: Microsoft Associate Data Engineer (DP-203), Python certified (PCAP), Microsoft Azure (AI-900), Scrum, Agile, and blockchain, which demonstrate my commitment to professional development and excellence.
Publications: My work has been published as a research paper by TMS USA, titled “On Energy Management During Anode Setting at EGA,” with me as an author.
https://www.researchgate.net/publication/311894079_Improved_Energy_Management_During_Anode_Setting _Activity
IT Service Management (ITSM): I possess in-depth knowledge of ITIL best practices and hands-on experience with BMC Remedy for IT service management, ensuring streamlined ticketing, asset management, and CMDB operations.
My expertise in data engineering tools and technologies, such as Microsoft Azure, Spark, and ETL, has enabled me to design and implement scalable ETL pipelines, optimize data processing, and collaborate effectively with data scientists to drive insights and innovations.
In the realm of Embedded Software, I have successfully contributed to the development of embedded software applications based on Microcontrollers at EGA and Samsung product applications.
My strong foundation in Microsoft Azure has further equipped me to design and implement robust data solutions, ensuring data security and leveraging cloud services to enhance data processing capabilities.
I am eager to bring my comprehensive expertise to your team and contribute to your innovative projects. I am confident that my skills and experience will be an asset to your organization.
Sincerely,
Mohammed Sadiq Master
Porting of Windows Microsoft Proprietary MTP for Samsung LCDTV on Linux.
Involved in firmware development for the Mp3 players of Samsung K5 and T10 models.
Developed application network interface software for AISDN-17 (ATM-based integrated shipboard data network) for the Indian Navy.
Integrated critical data from various Radars, GPS, IFFS, RLG, and weapon systems.
Led the development of CC Communication Manager for IACCS in the Indian Air Force.
Conducted sensor and radar simulations and testing for a defense project using graphical toolkits and Qt Designer.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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