Entry-level Data Analyst with strong hands-on experience in SQL, Power BI, Python, and Advanced Excel,
specializing in data cleaning, EDA, KPI reporting, MIS reporting, and dashboard automation. Proven ability to
analy…
Entry-level Data Analyst with strong hands-on experience in SQL, Power BI, Python, and Advanced Excel,
specializing in data cleaning, EDA, KPI reporting, MIS reporting, and dashboard automation. Proven ability to
analyze complex datasets and deliver actionable insights through healthcare analytics projects. Seeking Data
Analyst / MIS Analyst roles in data-driven organizations.
Completed a virtual internship focused on GenAI-powered data analytics through real-world business simulations. Worked on data cleaning, preprocessing, and exploratory data analysis (EDA) to identify trends and patterns. Utilized Generative AI tools to support data interpretation, generate summaries, and enhance insight quality. Created visualizations and structured reports to communicate findings clearly to stakeholders. Developed data-driven recommendations to support business decision-making while following analytical best practices and problem-solving methodologies.
Completed real-world business problem simulations using SQL, Power BI, and Excel., Analyzed datasets to identify trends and presented insights using dashboards and reports., Gained exposure to industry-standard analytics workflows and stakeholder reporting.
This project uses data analytics to improve sperm selection in IVF by analyzing sperm quality, patient data, and treatment outcomes. Statistical and machine learning techniques identify key factors that influence fertilization and embryo development. The data-driven approach helps clinicians make more accurate decisions, leading to higher IVF success rates and reduced treatment failures.
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