My Journey

I'm currently pursuing my Master's in Data Science, building upon a strong foundation in Information Technology from my Bachelor's degree. My journey into data science began during my undergraduate studies when I discovered the power of data-driven decision making in IT projects.

My background in IT has given me a unique perspective on data science, emphasizing not just analysis but also implementation, scalability, and practical applications. I believe that the most impactful data science solutions are those that can be effectively integrated into real-world systems.

My research interests lie at the intersection of machine learning and information systems, particularly in developing scalable solutions for data-intensive applications and improving data governance through automated systems.

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Data Science Journey

Education

My academic journey and learned courses

2024 - Present

MSc in Data Science

Currently pursuing my Master's degree with a focus on Machine Learning, Statistical Modeling, and Big Data Analytics. Coursework includes Advanced Machine Learning, Data Mining, Natural Language Processing, and Linear Algebra for Data Science.

Institute: SIES College of Commerce and Economics

2021 - 2024

BSc in Information Technology

Completed my Bachelor's degree , focusing on Object Oriented Programming, DSA, Applied Mathematics, Database Systems, Software Engineering, and Web Development.

University: SIES College of Arts, Science and Commerce

My Data Science Approach

How I approach problems and projects in data science

Problem Understanding

I begin by thoroughly understanding the business problem, ensuring that the data science solution aligns with actual needs and provides measurable value.

Data Exploration & Preparation

Comprehensive data exploration and cleaning to ensure data quality. I believe that good data preparation is fundamental to successful models.

Model Development & Evaluation

Developing appropriate models with careful feature engineering, followed by rigorous evaluation using appropriate metrics for the specific problem.

Implementation & Deployment

Focus on creating solutions that can be deployed and maintained in production environments, drawing from my IT background to ensure scalability.