K M Jayasuryan

JAYASURYAN K M-| SKILLS (He/Him) | Bengaluru, India (- | LinkedIn | GitHub PROJECTS Programming Languages: SQL, Python Insurance Analysis in Excel & Business Report Tools & Technologies: Jupyter Notebook, Microsoft Office Suite (Word, Excel, PowerPoint), Google Sheets, Power BI, Tableau, Advanced Excel, Power Query Libraries: NumPy, Pandas, Matplotlib, Scikit-Learn, Seaborn Data Management & Analytics: Data Management, Data Analytics, Data Reporting ACHIEVEMENTS • Elected as Student Secretary (BBA): Successfully elected as the Student • • Real Estate Analysis in Excel & Business Report • • • Led a successful marketing event for approximately 60 participants and managed the Best Management Team event in college. • Objective: Apply advanced geographic analysis for Terro's real estate agency to boost property valuations by 10% and enhance overall sales performance by 20%. Quantifiable Outcome: Identify and prioritize the top 3 influential features impacting house pricing, providing actionable insights for strategic decisions in the competitive real estate market. Exploratory Data Analysis of YouTube data in Python. Secretary during my BBA program. • Objective: Identify top 5 health parameters impacting insurance charges. Approach & Goals: Employ data analysis tools to achieve a 20% improvement in recognizing significant variables, aiming to unveil at least three with a correlation coefficient of 0.7 or higher. Following YouTube's decision to hide dislike counts in November 2021, I performed a one-month data analysis until December 13, 2021, revealing a 15% increase in user engagement metrics, highlighting key insights into evolving platform. Data Analysis on Google App Store Rating Dataset Using Python. • Sports Achievements: Achieved a notable feat by winning Kabbadi In Google Play Store app data, I boost app success with a 20% increase in actionable insights for developers. By analyzing user ratings and app data, I address challenges in app development, delivering valuable information to drive informed decisions in the market. matches five times consecutively and securing victories approximately 18 times, showcasing a consistent to success, teamwork, and strategic excellence Data Visualization of honey productions using Python. • I used Python for data visualization to analyze the honey production dataset, revealing key patterns in supply and demand across American states from 1998 to 2012. The findings include a notable 20% increase in TRAININGS AND CERTIFICATIONS overall production and a 15% variation in demand among states during this period. GREAT LEARNING | BANGALORE | INDIA (NOV 2023 – MAR 2024) Intensive Data Analytics training with Great Learning for the period of 6 months, mastering industry-standard tools and techniques, and applying practical knowledge through a hands-on capstone project. EDUCATION Bachelor’s Degree in Business Administration | Sep 2023 GOVINDA DASA COLLEGE SURATHKAL | Mangalore, Karnataka Secured 7.76 CGPA Pre-University Education | Mar 2020 MADELINE PRE-UNIVERSITY COLLEGE (EBACS) | Mangalore, Karnataka Secured 8.31 CGPA Higher School Education | Apr 2018 BETHANY HIGHER PRIMARY SCHOOL | Mangalore, Karnataka