I’m a data enthusiast with a background in data analytics and engineering, passionate about turning complex data into actionable insights. My experience spans across developing data-driven applications and building end-to-end analytics pipelines using tools like Python, SQL, Flask/Django, Pandas, and NumPy.
During my recent education in a PG-Diploma in Big Data Analytics, I worked on various real-world projects, including a 'Credit Score Prediction' model, where I handled data cleaning, exploratory analysis, and machine learning model development. I also gained hands-on experience in Big Data technologies by building a scalable data pipeline using Apache Spark and Hadoop.
I'm skilled in data visualization, using tools like Tableau and Power BI to create dashboards and reports that effectively communicate findings. I enjoy identifying patterns in datasets and using those insights to recommend improvements that drive efficiency.
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