Ashish Singh

I am an MCA graduate with a strong foundation in data analytics, business intelligence, and software engineering. Skilled in Python, SQL, Power BI, Tableau, and Excel, I enjoy transforming raw data into meaningful insights that support smarter decision-making. Alongside my analytics expertise, I bring software engineering skills in Java, React, HTML, CSS, and Git, enabling me to design scalable solutions, build web applications, and integrate data workflows into functional systems.

This combination allows me to bridge the gap between data analysis and software development, delivering end-to-end solutions that are both insightful and practical. During my academic journey, I worked on projects such as building predictive models in Python to forecast sales trends, creating interactive dashboards in Tableau to track performance metrics, and developing applications in Java with MySQL backends to manage information efficiently. These experiences strengthened my ability to analyze complex datasets, write clean code, and communicate findings clearly to both technical and non-technical audiences.

I am eager to begin my career as a Data Analyst, Business Analyst, or Data Engineer, where I can apply my dual expertise in analytics and engineering to contribute to organizational growth. My goal is to continuously learn, adapt, and deliver value by leveraging data and technology to uncover opportunities and drive innovation.

Developed and deployed Arbito Research, a responsive platform for students to explore research, trending skills, and project guidance, resulting in increased student engagement and resource accessibility

Collaborated with stakeholders and teammates to align platform features with student needs, driving community growth and career development.

Optimized performance and responsiveness across devices, enhancing user analytics and accessibility.

Contributed to requirement gathering, feature design, and implementation to maximize end-user value.

MCA graduate with proven expertise in business analysis, data analysis, and software engineering.