Data Scientist
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Motivated and data-driven Statistics graduate seeking a challenging Data Analyst, Machine Learning Engineer, or Data Scientist position within a large organization. Offering a strong foundation in statistical analysis, machine learning algorithms, and data visualization tools, with a proven ability to extract meaningful insights from data, develop and deploy predictive models, and communicate complex technical findings to non-technical audiences.
I am pursuing a Master of Science in Business Statistics, focusing on statistical analysis, machine learning algorithms, and data visualization. I completed a Machine Learning internship, worked on projects like movie genre classification, credit card fraud detection, and customer churn prediction. I have proficiency in Python, R, SQL, and Tableau, and have worked on price optimization projects using machine learning techniques.
I am also conducted sentiment analysis on social media data to predict election outcomes. And, I have a CGPA of 8.27 in Mathematics and 7.7 in the Master of Science in Business Statistics.
Master of Science in Business Statistics (Ongoing): Pursuing at VIT University with a current CGPA of 7.7, focusing on statistical analysis, data manipulation, predictive modeling, and data visualization. This program provides a strong foundation in quantitative methods crucial for data-driven decision-making.
Bachelor of Science in Mathematics: Completed with a CGPA of 8.27 from Thiruvalluvar University, emphasizing core mathematical principles essential for statistical analysis and algorithm development.
SQL Certificate: Obtained from HackerRank, demonstrating proficiency in database management and manipulation, crucial for handling large datasets and conducting efficient data queries.
Python Certificate: Received from GUVI, indicating proficiency in Python programming, a widely used language in data analysis, machine learning, and automation tasks.
Data Visualization and Analysis: Received from LinkedIn Learning, indicating proficiency in data visualization and data analysis.
Introduction to Generative AI (Google) : Received from Google Cloud Skill Boost, Explored the definition and usage of Generative AI, distinguishing it from traditional machine learning techniques. Covered Google Tools for Gen AI app development, providing insight into cutting-edge AI technologies and their practical applications.