Smit Mukeshbhai Dankhara

As a dedicated and detail-oriented Data Analyst, I specialize in transforming complex data into clear, actionable insights that support strategic decision-making and business growth. With a robust academic background in Data Science (currently pursuing my Master of Science at Friedrich-Alexander-Universität in Germany) and a Bachelor’s in Information Technology, I bring both theoretical knowledge and hands-on experience to the table.

My technical expertise spans a wide range of tools and technologies essential for modern data analysis. I am proficient in Python (Pandas, NumPy, Matplotlib, Seaborn), SQL (MySQL, PostgreSQL, SQL Server), and data visualization platforms like Tableau, Power BI, and Google Data Studio. I also have working knowledge of cloud and big data tools such as AWS and Google BigQuery, enabling me to work with large datasets and scalable systems.

Throughout my academic and internship experiences, I’ve applied these skills to real-world problems. I’ve built predictive models to forecast sales, used Power BI for customer segmentation to optimize marketing strategies, and developed a Python-based web scraping solution to gather e-commerce data. My work is guided by a strong understanding of statistical analysis, A/B testing, hypothesis testing, and business intelligence reporting.

In addition to my technical skill set, I bring a strong set of soft skills—problem-solving, critical thinking, collaboration, and effective communication. I take pride in telling stories with data and tailoring insights to both technical and non-technical audiences. I’ve demonstrated these capabilities through projects and competitions, including securing a Top 5 position in a city-level hackathon, building an AI-powered analysis tool, and presenting a data-driven startup idea in a national-level innovation competition.

My experience as a full stack developer intern has further strengthened my ability to understand end-to-end product development, adding a valuable perspective when collaborating with engineers and product teams.

I am now looking to apply my skills in a data-driven organization or freelance environment where I can make a tangible impact. I’m particularly excited about opportunities where I can contribute to decision-making processes, optimize operations through data, and continue learning from real-world challenges.

Whether it’s cleaning messy datasets, visualizing KPIs, or building predictive models, I’m passionate about using data to solve meaningful problems—and I’m ready to bring that passion to your team or project.