Data Analyst|Data Science|Python
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By combining a B.Tech in Computer Science and Business Systems with a strong interest in data, I earned an academic honor in Data Science specialization to deepen my understanding of how information drives smarter decision-making. My academic background has equipped me with both technical and analytical skills, enabling me to bridge the gap between technology and business. I'm actively building skills in tools such as Python, SQL, Advanced Excel, Tableau, and Power BI, with practical experience in data cleaning, analysis, visualization, and database handling.
Driven by curiosity and a commitment to continuous learning, I’m now looking forward to applying these skills in data analytics roles where I can turn insights into real-world impact.
I’ve completed internships where I worked on real-time projects involving data analysis, web integration, and reporting. I gained hands-on experience using Python, SQL, Excel, Power BI, and Tableau to clean, analyze, and visualize data. Additionally, I’m currently undergoing specialized training in Data Analytics at Besant Technologies, where I’m deepening my skills in tools like Tableau and Power BI, while also participating in placement-focused project work.
These experiences have helped me strengthen my problem-solving abilities, collaborate effectively in team environments, and apply technical knowledge to real-world business challenges. I’ve also worked on academic projects involving logic building and backend data handling, which complements my growing skills in Java and software development.
I hold a B.Tech degree in Computer Science and Business Systems, with an honors specialization in Data Science. During my degree, I built a strong foundation in programming, algorithms, and analytics. I completed certifications like IBM’s Data Fundamentals, and I consistently applied what I learned through internships and hands-on projects. My coursework and practical training have prepared me well for technical roles that require both coding and logical thinking.