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MK@medhakumari
Aspiring Data Analyst skilled in uncovering complex data patterns.
ZimbabweI am an aspiring Data Analyst with a strong foundation in Mathematics, holding a Master's degree from NIT Patna. My passion lies in finding complex patterns within data, which I believe is crucial for driving informed decision-making in any organization. I have honed my skills in various analytical tools and techniques, including SQL, Python, and Power BI, enabling me to tackle real-world problems effectively.
Throughout my academic journey, I have engaged in significant projects such as Customer Churn Prediction and Employee Compensation Analysis. These experiences have equipped me with the ability to apply hypothesis testing, regression analysis, and machine learning techniques to derive actionable insights. I take pride in my ability to communicate these insights through interactive dashboards and visualizations, facilitating data-driven strategies for businesses.
My achievements, including winning a prize for oral presentation at a conference and excelling in Toastmasters competitions, reflect my commitment to continuous learning and effective communication. I am eager to contribute my analytical skills and collaborative spirit to a dynamic team, where I can further develop my expertise and drive impactful results.
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Work history, roles, and key accomplishments
Self Employed
Developed a comprehensive compensation analysis dashboard to track salary trends, promotions, and regional variations. Used SQL to extract compensation data and Python for data manipulation, followed by creating interactive visualizations in Tableau.
Self Employed
Applied hypothesis testing, regression analysis, and forecasting to predict customer churn. Built and evaluated classification models using Decision Trees and SVM.
Self Employed
Built a data-driven system to analyze operational processes and identify bottlenecks in resource allocation and process time. Extracted and processed operational data using SQL and Python, and visualized key performance indicators (KPIs) in Power BI.
Self Employed
Performed customer segmentation using clustering techniques and analyzed purchasing behaviors to identify high-value segments. Utilized Python and Scikit-learn for clustering, and Pandas for data cleaning, manipulation, and RFM analysis.
Degrees, certifications, and relevant coursework
NPBachelor of Science, Mathematics
Grade: 8.01 CGPA
Completed a Bachelor of Science in Mathematics, focusing on foundational mathematical concepts and problem-solving. Achieved a CGPA of 8.01, demonstrating strong academic performance in the field.
NPMaster of Science, Mathematics
Grade: 8.46 CGPA
Pursued a Master of Science in Mathematics, deepening knowledge in advanced mathematical theories and applications. Graduated with a CGPA of 8.46, reflecting excellence in postgraduate studies.
Software and tools used professionally
ZimbabweYou can contact Medha and 90k+ other talented remote workers on Himalayas.
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