Michel Azar

Introduced Deep learning and Computer Vision technics for enhancing real estate valuation models. A cutting edge project funded by Innovate UK
Carried out research both independently and as part of the collaborative research team including Yuvoh Analytics and academic colleagues
Developed ETL pipelines and handled geographical imagery analysis using Python, PostGIS (Dbeaver) and GCP.

Improved the efficiency of traders in the balancing mechanism (BM) market with the extensive use of Tableau visualisation technics
Launched analytical dashboards for monitoring the trading process such as “Value at Risk (VaR)” and power stations availability.
Designed special dashboards to monitor data integrity of SQL tables update.
Dealt with AWS RDS system and PostgreSQL for data retrieval and helped in the operationalization of Tableau online
Worked and assisted the quant team in building and setting up data pipeline on the Google cloud.
Troubleshooted and fixed existing python code that exhibited unforeseen issues.
Applied machine learning techniques for gas price variation prediction.

Acquired Digital Signal Processing expertise by supporting optical and electrical devices such as Digital Sampling Oscilloscopes (DSO), Bit Error rate tester (BERT) and Time Domain Reflectometer (TDR)
Collaborated with sales team, engineers, and product managers for obtaining accurate information of application usage, system operations, and product management and offered product demos for potential clients
Troubleshooted technical issues and defects raised by customers in live application systems and worked closely with the product development team for issue resolution

Designed IT solutions across network technologies and handled all phases of the solution design including responding to RFPs, developing technical solutions and creating all related documentation
Covered client accounts across industries including Banking, Telecommunication (Mobile Operators and Internet Service Providers), Insurance, Hospitality, Retail, Education and Healthcare
Adopted a consultative approach in customer engagement and provided cost-effective solutions in line with the technical requirements of clients
Worked closely with the Sales Account Managers towards achieving their financial targets by delivering solutions that meet the client budget and business needs
Managed a team of two junior engineers and two technicians taking responsibility for delegating projects and overseeing quality of solutions and deliverables – my oversight has allowed team members to work simultaneously on multiple projects and increased team productivity
Trained presales engineers newly joining the team to develop their technical expertise and get them up to speed on presales ways of working and internal processes

Introduced Deep learning and Computer Vision technics for enhancing real estate valuation models. A cutting edge project funded by Innovate UK
Carried out research both independently and as part of the collaborative research team including Yuvoh Analytics and academic colleagues
Developed ETL pipelines and handled geographical imagery analysis using Python, PostGIS (Dbeaver) and GCP

Improved the efficiency of traders in the balancing mechanism (BM) market with the extensive use of Tableau visualisation technics
Launched analytical dashboards for monitoring the trading process such as “Value at Risk (VaR)” and power stations availability
Designed special dashboards to monitor data integrity of SQL tables update
Dealt with AWS RDS system and PostgreSQL for data retrieval and helped in the operationalization of Tableau online
Worked and assisted the quant team in building and setting up data pipeline on the Google cloud
Troubleshooted and fixed existing python code that exhibited unforeseen issues
Applied machine learning techniques for gas price variation prediction

Acquired Digital Signal Processing expertise by supporting optical and electrical devices such as Digital Sampling Oscilloscopes (DSO), Bit Error rate tester (BERT) and Time Domain Reflectometer (TDR)
Collaborated with sales team, engineers, and product managers for obtaining accurate information of application usage, system operations, and product management and offered product demos for potential clients
Troubleshooted technical issues and defects raised by customers in live application systems and worked closely with the product development team for issue resolution

Designed IT solutions across network technologies and handled all phases of the solution design including responding to RFPs, developing technical solutions and creating all related documentation
Covered client accounts across industries including Banking, Telecommunication (Mobile Operators and Internet Service Providers), Insurance, Hospitality, Retail, Education and Healthcare
Adopted a consultative approach in customer engagement and provided cost-effective solutions in line with the technical requirements of clients
Worked closely with the Sales Account Managers towards achieving their financial targets by delivering solutions that meet the client budget and business needs
Managed a team of two junior engineers and two technicians taking responsibility for delegating projects and overseeing quality of solutions and deliverables – my oversight has allowed team members to work simultaneously on multiple projects and increased team productivity
Trained presales engineers newly joining the team to develop their technical expertise and get them up to speed on presales ways of working and internal processes

▪ Introduced Deep learning and Computer Vision technics for enhancing real estate valuation models. A
cutting edge project funded by Innovate UK
▪ Carried out research both independently and as part of the collaborative research team including Yuvoh
Analytics and academic colleagues
▪ Developed ETL pipelines and handled geographical imagery analysis using Python, PostGIS (Dbeaver)
and GCP.

▪ Improved the efficiency of traders in the balancing mechanism (BM) market with the extensive use of
Tableau visualisation technics
▪ Launched analytical dashboards for monitoring the trading process such as “Value at Risk (VaR)” and
power stations availability.
▪ Designed special dashboards to monitor data integrity of SQL tables update.
▪ Dealt with AWS RDS system and PostgreSQL for data retrieval and helped in the operationalization of
Tableau online
▪ Worked and assisted the quant team in building and setting up data pipeline on the Google cloud.
▪ Troubleshooted and fixed existing python code that exhibited unforeseen issues.
▪ Applied machine learning techniques for gas price variation prediction.

▪ Acquired Digital Signal Processing expertise by supporting optical and electrical devices such as Digital
Sampling Oscilloscopes (DSO), Bit Error rate tester (BERT) and Time Domain Reflectometer (TDR)
▪ Collaborated with sales team, engineers, and product managers for obtaining accurate information of
application usage, system operations, and product management and offered product demos for potential
clients
▪ Troubleshooted technical issues and defects raised by customers in live application systems and worked
closely with the product development team for issue resolution

▪ Designed IT solutions across network technologies and handled all phases of the solution design including
responding to RFPs, developing technical solutions and creating all related documentation
▪ Covered client accounts across industries including Banking, Telecommunication (Mobile Operators and
Internet Service Providers), Insurance, Hospitality, Retail, Education and Healthcare
▪ Adopted a consultative approach in customer engagement and provided cost-effective solutions in line
with the technical requirements of clients
▪ Worked closely with the Sales Account Managers towards achieving their financial targets by delivering
solutions that meet the client budget and business needs
▪ Managed a team of two junior engineers and two technicians taking responsibility for delegating projects
and overseeing quality of solutions and deliverables – my oversight has allowed team members to work
simultaneously on multiple projects and increased team productivity
▪ Trained presales engineers newly joining the team to develop their technical expertise and get them up to
speed on presales ways of working and internal processes