Naman Sharma — Data Analyst

I am a Data Analyst focused on transforming raw data into clear, actionable insights that support better decision-making and operational efficiency. My work spans the end-to-end data lifecycle — from data extraction, cleaning, and validation to analysis, visualization, and reporting. I enjoy working at the intersection of data and business, where structured analysis can simplify complex problems and help teams make informed decisions. Currently, I work as a Data Analyst at Currie & Brown, where I analyse large construction project datasets and support engineering teams through structured data preparation and reporting. My work involves extracting and cleaning data from enterprise sources, validating and reconciling datasets, and building dashboards using SQL, Python, Power BI, and Excel. Through this work, I focus on ensuring that data is accurate, reliable, and ready to support business and project decisions. Previously, I worked with GlobalLogic, where I contributed to data cleaning, reporting workflows, and analytical support for stakeholders. These experiences strengthened my foundation in data analysis, problem-solving, and cross-functional collaboration. In addition to my analytics background, I bring a strong sense of discipline, leadership, and decision-making under pressure. I was recommended by the Services Selection Board (SSB) for the role of Assistant Commandant in the Indian Coast Guard — a highly selective process that evaluates leadership potential, integrity, and situational judgment. Core Skills: SQL • Python • Power BI • Excel • Azure • Data Validation • Reporting • Data Visualisation • Analytical Problem Solving I am always open to connecting with professionals in data, analytics, and technology, and to exploring opportunities where data can drive meaningful impact.

Stackforce AI infers this person is a Data Analyst specializing in data-driven decision-making for the construction industry.

Location: Delhi, India

Experience: 1 yr 6 mos