From Dhaka to Texas: A journey built on curiosity and Tenacity Rebeka Sultana’s story begins in the heart of Dhaka, Bangladesh, where her early exposure to science sparked a lifelong fascination with how digital systems function and adapt.
As a student of Computer Science and Engineering at Bangladesh University of Business & Technology, she was drawn not just to coding, but to the deeper questions behind it—how technology could solve real-world problems, how logic could be mapped onto social needs, and how data could transform the way decisions are made.
These early explorations laid the intellectual groundwork for her future pursuits, but her first formal role—as an ICT teacher—would offer a glimpse into the power of applied knowledge. Teaching students in grades 9 to 12, Rebeka found herself not only instructing others in the use of digital tools but also reinforcing her own foundational understanding of technology’s role in daily life. The classroom became a training ground for precision, communication, and empathy—qualities that would later define her approach as a data analyst and researcher. Her shift from education to industry marked the beginning of a more complex journey. The transition was not just a career move, but an immersion into the dynamic ecosystem of Bangladesh’s growing tech sector. In her roles as a Senior Data Analyst at both SoftCord Limited (SCL) and Dana Fintech Ltd., Rebeka encountered firsthand the operational and infrastructural challenges that come with managing large-scale data systems in emerging markets.
Yet, these experiences shaped her resilience and versatility. They also refined her analytical mindset—one that thrives under pressure and prioritizes impact over convenience. As she would later note, her journey from Dhaka to Texas was powered less by opportunity and more by a deep-rooted sense of purpose—to use data not just to analyze the world, but to improve it.
Building a Professional Legacy in Data Analytics Rebeka’s entry into the professional analytics world was defined by hands-on innovation, cross- functional collaboration, and an instinct for identifying actionable patterns in messy, complex datasets. At SoftCord Limited, she became known not only for her technical capabilities but also for her ability to translate raw data into strategic insights. There, she worked closely with various departments—product development, operations, and compliance—to design dashboards, streamline processes, and implement predictive analytics tools that enhanced operational efficiency. Working in a context where technological resources were limited, she quickly learned to improvise. She developed robust data strategies using open-source platforms, minimized system errors through rigorous testing, and trained team members on visual reporting techniques—all of which helped bridge the gap between business goals and data science applications.
At Dana Fintech Ltd., she faced a new set of challenges, this time focused on banking software, customer training, and back-end system upgrades. Her role demanded not only technical execution but also communication with non-technical stakeholders across hundreds of bank branches. From configuring Any Branch Banking (ABB) modules to delivering remote support for BexiBank software rollouts, she found herself in the center of large-scale operations. Her capacity to identify patterns, debug real-time errors, and troubleshoot system failures became a critical part of the firm’s infrastructure support network. These roles not only strengthened he command over databases and business logic, but also expanded her confidence in decision- making—proving her readiness for even more complex environments abroad.
The American Chapter: Scaling Innovation with Integrity Rebeka’s transition to the United States marked a turning point in her professional journey. Now based in Beaumont, Texas, she is currently pursuing her Master’s in MIS at Lamar University while simultaneously working as a Data Analyst at Upskill Consultancy in New York. This dual role allows her to seamlessly blend academic rigor with industry practice. At Upskill, she builds scalable data frameworks that support organizations in sectors ranging from education to fintech.
Her responsibilities include developing predictive models, conducting root-cause analyses, and automating reporting pipelines. In the process, she ensures that her solutions are not only accurate but ethical—fully compliant with the regulatory standards that define American data ecosystems.
At Lamar University, Rebeka contributes as a Graduate Research Assistant, collaborating with professors on faculty-led studies that explore the frontiers of business intelligence, decision analytics, and digital transformation. Her role includes supporting student learning, assisting in curriculum enhancement, and conducting independent research. What distinguishes her work in the U.S. is her enhanced focus on scalability, system security, and interdisciplinary application.
She is no longer just solving isolated problems—she is building systems that can evolve, adapt, and protect themselves in real-time environments. Her academic achievements, backed by her continued publication record, showcase a professional who understands both the “how” and the "why” of technology. Data as Human Narrative For Rebeka Sultana, data is more than just a field—it’s a language of human experience. She believes that behind every dataset lies a story, a pattern of behavior, a societal need waiting to be addressed. This philosophy shapes everything she does, from building dashboards to writing research papers.
She insists that ethical considerations must always accompany technological advancement, and that analytics should be inclusive, transparent, and accountable. In her view, data science is most powerful when used not just to describe the world, but to improve it. As she continues to grow her career across both academic and professional landscapes, Rebeka is steadily establishing herself as a thought leader in the responsible use of technology. Her unique blend of field-tested skills, scholarly insight, and unwavering social commitment positions her as one of the most promising voices in the global data science community.
Whether designing a machine learning model or drafting a research framework, she approaches every challenge with the same conviction: that every number tells a story, and that it’s her responsibility to make that story matter.
