Analyst | Excel | Resume Review | Resume Writing
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My objective is to utilize 5 years of analytical and engineering experience in the best possible ways that help to find the key insights in optimized ways and add value to an organization's business development goals.
Cloud services: Amazon Redshift, Amazon S3, AWS Glue, AWS Lambda, AWS EC2, AWS Quicksight
Others: SQL, Advanced Excel, Python, R, Tableau Developer, Tableau Admin
● Database Tools: Microsoft SQL Server, MS Access, Oracle, PostgreSQL
● Programming Languages: Python, R, MS SQL, PL/SQL, Java
● Machine Learning: MLR, KNN, CART, Logistic Regression, Random Forest and Decision Tree
● Analysis: Statistical Analysis, Predictive analysis, Descriptive analysis
● Data Visualization: Tableau, Data Studio, Seaborn, Matplotlib
● BI /Reporting Tools: RStudio, Jupyter, MS Visio, Google Analytics, Google AdWords, Confluence, TFS, Slack, MS PowerPoint, Notepad++ and Eclipse.
● SDLC Methodologies: Scaled Agile Framework, Waterfall, Agile and Kanban lean
With over 5 years of expertise as a Data Engineer, I have successfully managed intricate quantitative datasets to address business challenges. My experience spans Agile and waterfall methodologies, encompassing ETL processes, data modeling, and data pipeline management. Proficient in Advanced SQL, Python, Tableau, and statistical analysis, I possess the core skills necessary for analyzing and presenting data.
Additionally, my interpersonal skills have allowed me to establish robust relationships with both technical and non-technical stakeholders.
