Analytical, energetic, and detail-oriented data scientist with an accumulated experience of 13
years encompassing Data, Software Engineering, Analytics, Data science, Machine Learning, and
a profound interest in Artifici…
Analytical, energetic, and detail-oriented data scientist with an accumulated experience of 13
years encompassing Data, Software Engineering, Analytics, Data science, Machine Learning, and
a profound interest in Artificial Intelligence (AI), my objective revolves around the strategic
utilization of my advanced analytical skills and data driven acumen. The aim is to propel
innovation, resolve intricate challenges, and instigate substantial influence. With a
comprehensive span specializing in Customer Value Management (CVM) and an overall analytics
tenure of eight years, I am enthusiastic about extending my purview. My aspiration is to apply
my proficiencies across diverse domains, proactively embracing novel hurdles while augmenting
my knowledge base. I maintain an unwavering motivation to perpetually refine my technical
prowess, continuously remaining abreast of the latest advancements in AI and Machine Learning.
This commitment empowers me to harness cutting-edge methodologies, unveiling insights and
formulating predictive models that underpin strategic decision-making processes. My unyielding
passion for learning further solidifies my dedication, ensuring the delivery of invaluable solutions
that optimize operational workflows, elevate customer journeys, and materialize quantifiable
outcomes. Through the seamless amalgamation of Data Science and AI, I endeavor to champion
the transformative potential inherent in data, driving tangible business enhancements.
Utilizing statistical analysis and machine learning techniques to drive key business decisions.
• Analyzing large datasets to identify patterns and trends in customer behavior.
• Analyze customer opportunity pipeline created by key account manager to generate insightful
recommendation toward achieving the sales target.
• Analyzing customers request and complaint using sentemental analysis NLP deep learning models.
• Collaborating with cross-functional teams, such as product, marketing, and planning, to identify and
prioritize opportunities for data-driven improvements.
• Designing and executing experiments to test hypotheses and validate assumptions.
• Leverage data to create CVM campaign based on deep analytics and predictive machine learning
models.
• Use different machine learning models to automate and implement predictive solutions.
• Create prove of concept for analytical and machine learning prototypes.
• Use my digital transformation experience to automate and digitalize time consuming tasks.
• Project manager of the backbone application of enterprise division (SME app).
• Communicate complex technical concepts to non-technical stakeholders.
<p>Utilizing statistical analysis and machine learning techniques to drive key business decisions.<br>
Analyzing large datasets to identify patterns and trends in customer behavior.<br>
Analyze customer opportunity pipeline created by key account manager to generate insightful recommendation toward achieving the sales target.<br>
Analyzing customers request and complaint using sentemental analysis NLP deep learning models.<br>
Collaborating with cross-functional teams, such as product, marketing, and planning, to identify and prioritize opportunities for data-driven improvements.<br>
Designing and executing experiments to test hypotheses and validate assumptions.<br>
Leverage data to create CVM campaign based on deep analytics and predictive machine learning models.<br>
Use different machine learning models to automate and implement predictive solutions.<br>
Create prove of concept for analytical and machine learning prototypes.<br>
Use my digital transformation experience to automate and digitalize time consuming tasks.<br>
Project manager of the backbone application of enterprise division (SME app).<br>
Communicate complex technical concepts to non-technical stakeholders.</p>
<p>Leverage data to help drive customer satisfaction, retention, and growth.<br>
Manage cloud and digital products of the customer analytics team with the IT team.<br>
Working closely with cross-functional teams including marketing, sales, and customer service to design, develop and implement data-driven strategies aimed to deliver a superior customer experience.<br>
End to end campaign management from audience creation to post campaign analysis and reporting the results to the stakeholders.<br>
Managed data analytics team to design queries and scripts to create targeted audiences using filters and manage communication strategy with the marketing team.<br>
Optimized product placement and upselling strategies to improve sales performance and drive additional revenue by using different analysis types such as basket analysis and RFM analysis.</p>
<p>Key player of the digital transformation and automation of the Market Research department.<br>
Designed analytical databases and schemas for enterprise projects and manage their implementation.<br>
Manage MIS technical team in designing, and implementing advanced data analytics projects such as customer satisfaction reports, RFM analysis, customer retention and acquisition, and store, category, and product penetration analysis.</p>
<p>Develop, design, modify, troubleshoot, document, test, deploy, and support of the Market Research Web portal and database on Azure server and on-premises server<br>
Manage and implement the development project of statistical reporting application to be used on Android OS.<br>
Conducted research and development on several technical topics required to facilitate business needs.<br>
Developed, maintained, and managed applications and templates for data collection to meet the needs of various Alghanim businesses based on business analysis and best practices.<br>
Designed the implementation of web, tablet, and mobile questionnaire surveys, reports, and dashboards.</p>
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