About
I’m a final-year Computer Application student with a strong focus on Data Science, AI, and Machine Learning. My journey started with curiosity about how data drives decisions, and it has grown into a hands-on skill set in Python, data analysis, and building intelligent solutions. During my Data Science internship, I worked on real-world projects that strengthened both my technical and analytical thinking. I enjoy transforming raw data into meaningful insights and creating solutions that solve practical problems. Some of my key achievements include: • Built an E-commerce Sales Dashboard using Power BI, delivering clear business insights through interactive visualizations and improving decision-making understanding • Developed a Feedback Sentiment Analysis system using Python (NLP techniques) to analyze user opinions and uncover satisfaction trends • Gained strong foundations in data cleaning, data visualization, and exploratory data analysis, working with tools like Pandas, NumPy, and Matplotlib I’m skilled in Python, SQL fundamentals, Power BI, and machine learning basics, with a growing interest in deep learning and real-world AI applications. I also have a programming background in C, C++, and Java, which helps me approach problems with strong logic and efficiency. Currently, I’m focused on advancing my expertise in machine learning, model building, and deploying data-driven solutions. I’m particularly interested in roles where I can work with data to generate insights, build predictive models, and contribute to impactful projects. I’m actively seeking Data Scientist / Data Analyst / AI-ML Engineer opportunities where I can apply my skills, learn from experienced teams, and grow into a high-impact professional. If you’re hiring or would like to collaborate on data-driven projects, feel free to connect with me or reach out—I'd love to be part of something meaningful.
