Sudhanshu Shukla

I am a data-driven professional with over five years of combined experience across engineering, operations, and analytics, currently pursuing an MSc in Data Analytics at De Montfort University, Dubai. My academic and professional journey has equipped me with a diverse skill set blending technical knowledge, analytical capabilities, and strategic thinking to drive data-informed decisions and operational improvements.

I began my career as a Project Engineer, where I managed installation and commissioning projects, handled technical coordination, and optimized plant operations. This foundational experience honed my project management, stakeholder communication, and problem-solving skills. I later transitioned into a data-focused role as a Power BI Consultant, where I developed interactive dashboards, automated reports, and analyzed complex datasets to uncover actionable insights. This role deepened my expertise in business intelligence tools, DAX, and SQL, and ignited my passion for data storytelling and decision support systems.

Throughout my professional journey, I have been committed to continuous learning and skill enhancement. I hold certifications in Python, Machine Learning, Power BI, and Supply Chain Management, enabling me to work across a broad spectrum of analytical and technical tasks. My current postgraduate studies have further advanced my understanding of big data, statistical modeling, Spark, and applied machine learning, preparing me for more specialized roles in data science and business analytics.

I have also led and contributed to several data-centric projects, including stock price forecasting using time-series models, crime data analysis using Spark SQL, and customer sentiment analysis using NLP techniques. These projects reflect my ability to apply theoretical knowledge to real-world problems, with a focus on accuracy, clarity, and impact.

Professionally, I am enthusiastic about roles that allow me to blend my engineering mindset with modern data tools to solve complex business problems. I am particularly interested in working in industries such as finance, technology, or logistics, where data-driven innovation plays a pivotal role. My goal is to contribute to impactful data initiatives that improve performance, support strategic planning, and enhance customer experience.

In all I do, I value integrity, curiosity, and resilience. I thrive in dynamic environments, enjoy tackling challenges, and am committed to leveraging data to make informed, ethical, and forward-thinking decisions.