I am a highly motivated Data Scientist seeking to apply my Python skills and analytical drive to uncover insights from the raw data. My training at Techma Zone honed my ability to extract and communicate valuable informa…
I am a highly motivated Data Scientist seeking to apply my Python skills and analytical drive to uncover insights from the raw data. My training at Techma Zone honed my ability to extract and communicate valuable information from complex data, as demonstrated in my portfolio projects. My passion for uncovering trends and understanding patterns, coupled with my strong foundation in statistics and machine learning including certifications from Techma Zone “Applied Data Science with Machine Learning” (November 2022 – December 2023) and “Applied Data Science Lab” from World Quant University (October 2023 –present) makes me eager to contribute to the data science team. Furthermore my degree in a Computational Finance has enabled me with strong mathematics, statistics and finance foundations. As a 3rd year student, I have studied multiple courses some of which include: Financial Derivatives, Financial Management, Economics, Accounting (financial and cost accounting), Statistical Inference. I have established a comprehensive skillset that includes academic and social skills. My academic skills include: data analysis, financial analysis, research, use of various tools, programming languages and software.
Completed a customer churn analysis simulation for Analytics, demonstrating advanced data analytics skills, identifying essential client data and outlining a strategic investigation approach.
Conducted efficient data analysis using Python, including Pandas and NumPy.
Employed data visualization techniques for insightful trend interpretation.
Completed the engineering and optimization of a random forest model, achieving an 85% accuracy rate in predicting customer churn.
Completed a concise executive summary for the Associate Director, delivering actionable insights for informed decision-making based on the analysis.
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