Data analytics,Finance analyst,Buisness analyst
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I am a data specialist with hands-on experience in delivering actionable insights across finance, e-commerce, and e-learning sectors. During my internship at MedTourEasy, I designed and implemented end-to-end analytics pipelines and interactive dashboards that improved decision-making velocity by 25% and boosted customer satisfaction by 30%. I also bring strong technical expertise in Python, SQL, and advanced NLP techniques, having built real-time emotion prediction systems that enhanced model accuracy by 40%.
Skilled in tools such as Power BI, Tableau, and Excel, I excel at transforming complex datasets into clear, impactful visualisations that empower stakeholders to make informed decisions. With a Google Data Analytics Certificate and ongoing B.E. studies in Computer Science, I am eager to apply my skills to real-world challenges, contribute to data-driven growth, and learn from industry mentors.
At MedTourEasy, I developed interactive dashboards and analytics pipelines that increased operational efficiency by 25% and enhanced customer satisfaction by 30%. I excel in data storytelling, delivering executive-ready visualisations that increased stakeholder engagement by 35%.
In my role at Cloud Technologies, I applied advanced NLP techniques (TF-IDF, embeddings, sentiment analysis) to enhance emotion classification accuracy by 40%, while developing real-time prediction systems with Flask/FastAPI that accelerated model iteration cycles by 20%. Collaborating in agile teams, I streamlined workflows with Git, Jupyter, and MLflow, ensuring reproducible pipelines and reducing onboarding time by 15%
My technical toolkit includes Python, SQL, Pandas, NumPy, Power BI, Tableau, and Excel, complemented by a Google Data Analytics Certificate and ongoing B.E. in Computer Science. I specialise in transforming complex datasets into actionable insights, empowering stakeholders to make confident, data-driven decisions