Over one year of experience as a Data Analyst, adept at conducting thorough data analysis, extracting actionable insights, and utilizing statistical methodologies. Proficient in collaborating with cross-functional teams to address knowledge gaps, troubleshoot issues, and contribute to the resolution of challenges identified during post-deployment testing. Proven track record of leveraging advanced analytics and data visualization tools to support strategic decision-making. Continuously staying abreast of emerging trends in the field, ensuring the application of innovative methodologies for enhanced data-driven decision processes."
• Played a crucial role in data gathering for analysis, utilizing data collection tools and contributing to the optimization of data storage mechanisms.
• Collaborated with cross-functional teams to understand and address business needs, implementing statistical modelling for extracting meaningful insights.
• Worked on projects involving relational databases, data warehousing, and feature engineering, showcasing a commitment to efficient data management and continuous learning in the field of data science.
Programming Python, SQL, Core JAVA,R,Pandas, NumPy, Matplotlib, Tableau, Power BI
Big Data Technologies Apache Spark, Databricks, Azure, Google Cloud,HADOOP, HDFS,
IT Operations Troubleshooting, Azure Fundamentals, Software Engineering, Problem Management,Agile Methodoligies
Big Data Analysis Project on Spotify Music Data:
Machine Learning Project on Customer Segmentation:
Possessing a strong work ethic and unwavering dedication, I am committed to delivering results through persistent effort and attention to detail. My adaptability and versatility shine as I navigate various tasks and responsibilities with ease, demonstrating a proactive approach to challenges. A collaborative spirit defines my work style, making me an effective team player who values open communication and contributes actively to group objectives.