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Experienced and results-driven Data Analyst with 4 years of hands-on experience in collecting, analyzing, and interpreting large datasets to drive business decisions and optimize performance in credit risk analysis and retail ecommerce analytics. Proficient in a variety of data analysis tools ( Excel, SQL, SAS,Python, Basic Machine Learning and Power BI )and techniques, with a proven track record of delivering actionable insights and recommendations to improve operational efficiency and drive revenue growth. Strong analytical, problem-solving, and communication skills combined with a passion for continuous learning and innovation.

Detail-oriented Data Analyst with 3 years of experience in data analysis, statistical modeling, and data visualization. Proficient in leveraging data-driven insights to drive business strategies and improve operational efficiency. Skilled in SQL, Python, R, and various data visualization tools. Strong analytical, technical, and problem-solving skills through experience working as a Data analyst in various projects such as health sector projects, real estate projects and Finance data. Detail-focused Data Analyst with knowledge in data warehousing, process validation and business needs analysis. Proven to understand customer requirements and translate into actionable project plans. Dedicated and hard-working with passion for Big Data. Seasoned collaborator experienced in meeting needs, improving processes and exceeding requirements in team environments. Diligent worker with strong communication and task prioritization skills.

Second-year Computing Science student with hands-on experience in data engineering and a strong foundation in banking and finance, specializing in credit reporting, risk, originations, and collections. My work with collections and financial credit risk teams at large banks and providers has equipped me with deep insights into leveraging data for strategic decision-making. Skilled in ETL processes, big data analysis, and database management, I am eager to contribute to MasterCard's mission of powering secure, innovative, and inclusive financial ecosystems through advanced data solutions.

 Data analysis professional prepared to deliver impactful insights and drive business decisions. Adept in data visualization, statistical analysis, and database management, with strong focus on teamwork and adaptability. Known for reliability, analytical thinking, and results-driven approach. Skilled in Python, SQL, and Excel, ensuring robust data solutions and strategic recommendations. 

Detail-focused Data Analyst with knowledge in data warehousing, process validation and business needs analysis. Proven to understand customer requirements and translate into actionable project plans. Dedicated and hard-working with passion for Big Data.

ENJOY PARMAR

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Data Analyst

Diploma - Computer Science

B.Tech - Computer Science and Engineering

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