Ruchi Unaliya

• 4 years of hands-on experience as a Data Analyst, specializing in extensive quantitative analysis, statistical modeling, and algorithm application to extract actionable insights from large datasets. • Proficient in using a wide array of tools, including Python (NumPy, Pandas, Matplotlib, SciPy, Scikit-learn, TensorFlow), R, SQL, SAS, and visualization tools such as Tableau, Power BI, and Advanced Excel (Pivot Tables, VLOOKUP). • Skilled in managing diverse databases, including MySQL, PostgreSQL, MongoDB, and SQL Server optimizing query performance and reducing response times. • Competent in using ETL (Extract, Transform, Load) tools such as SSIS and SSRS for seamless data integration and reporting. • Proficient in designing and maintaining data warehousing solutions, optimizing data storage and retrieval processes. • Experience with cloud technologies, particularly Amazon Web Services (AWS), for scalable and cost-effective storage and processing. • Utilized Hadoop, Apache Spark, and Kafka for processing and analyzing large volumes of data, ensuring scalability and performance. • Proficient in using Git and GitHub for version control, ensuring collaboration and traceability in data analysis workflows. • Demonstrated strong problem-solving abilities, tackling complex data issues and providing innovative solutions. • Effective communication skills, both written and verbal, with experience in presenting data-driven insights to diverse audiences.