Ramsha Siddiqui

About Ramsha Siddiqui

As a data professional with experience in both data analysis and data engineering, I am passionate about unlocking insights and driving business growth through data-driven solutions.I have worked as a Data Engineer-I with LatentView Analytics and was also involved in bootcamp program of Masai School for Data Analytics and Data Science.I bring a unique perspective to solving complex business problems with my expertise in data manipulation, statistical analysis, data modeling, and database design.I am proficient in programming languages such as Python, Java, and Scala, and have experience working with big data technologies such as Hadoop, Spark, and Hive to handle large volumes of data. Strong communication skills and working collaboratively with cross-functional teams to drive data-driven decision-making makes me an asset to any team.1. I am proficient in Structured Query Language (SQL) for data manipulation and retrieval, as well as Advanced MS Excel and VBA.2. Proficiency in Pivot Tables, Tableau, Python, and Google Analytics, coupled with my analytical and quantitative skills, enables me to deliver valuable insights to stakeholders.3. I have worked on several Data Analysis projects, leveraging Tableau to provide actionable insights to drive business growth. Additionally, my strong knowledge of probability and statistics, linear algebra, and Machine Learning, coupled with programming skills in Python and R, make me a diligent analyst who can bring innovative solutions to complex data problems.4. Proficient in data modeling and database design to ensure data is efficiently stored, structured, and retrieved. This includes understanding different types of databases, such as relational, NoSQL, and columnar databases.5. Skilled in ETL (Extract, Transform, Load) processes and data integration techniques to move data between different systems and integrate it seamlessly into the organization\'s data architecture.6. Worked with big data technologies such as Hadoop, Spark, and Hive to handle large volumes of data and ensure scalability.7. I have worked on cloud platforms such as AWS and Azure to build data infrastructure in the cloud.Core Competencies: Data manipulation, statistical analysis, data visualization tools, data modeling, database design & ETL processes.

Experience

1. Data Analyst

   airtel

   Mar 2024 — Present · Gurugram, IN