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Data Science with less than a year in Machine Learning & Data Analysis.
Motivated and detail-oriented Data Science fresher with strong knowledge of Python, SQL, Machine Learning, Data Analysis, and Visualization tools. Skilled in handling datasets, building predictive models, and deriving meaningful insights to support business decisions. Passionate about solving real-world problems using data-driven approaches and eager to learn new technologies. Strong analytical thinking, problem-solving abilities, and teamwork skills with a commitment to continuous learning and professional growth in the field of Data Science.
Beasant Technologies
Data Science
September 1, 2025 – May 1, 2026
University of Mysore
Masters in Computer Application
April 1, 2025 – June 1, 2026
University of Mysore
Bachelor of Computer Application
October 1, 2021 – July 1, 2024
Pizza Sales Insights
June 1, 2026 – Present
.Total Revenue reached 899K+ and Large-size pizzas generated the highest revenue contribution. Identified peak order days and monthly sales trends. Analyzed category-wise sales performance (Classic, Supreme, Veggie, Chicken).
House price Predication
June 1, 2026 – Present
InterDeveloped a machine learning model to predict house prices using regression algorithms. Performed data preprocessing, feature engineering, and visualization.
Data Sceince
Beasant Technologies
June 1, 2026 – Present
Data Science
Nasscom
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in practical data analysis and machine learning applications. The pursuit of multiple data science certifications and a Master's degree indicates a strong drive for professional development and alignment with a learning-oriented culture. However, the limited diversity in project types (both academic) and lack of professional experience make it difficult to fully assess cultural fit beyond a foundational level.
Soft Skills & Operational Fit
The candidate highlights collaboration, creativity, communication, and critical thinking as soft skills. The profile indicates a passion for solving real-world problems and eagerness to learn, which aligns with a growth-oriented operational fit. However, the lack of professional experience means these soft skills are currently unvalidated in a professional setting.