β’ 3 years of experience in data analysis and statistical modeling including data extraction, manipulation, visualization, and validation techniques, reporting on various projects.
β’ Proficient in Agile, Waterfall, Software Development Life Cycle (SDLC).
β’ Ability to use PyCharm, and Visual Studio while developing different applications in Python.
β’ Good Knowledge of Python packages like NumPy, Pandas, Matplotlib, and SciPy.
β’ Proficiency in creating visualizations, interactive dashboards, reports, and data stories using Tableau and Power BI.
β’ Knowledge of using functions in Excel and performing analyzing using Pivot charts.
β’ Well-Versed in Stored Procedures, Functions, Triggers, and strong experience in writing complex queries, using SQL Server
and MySQL.
β’ Good communication and interpersonal skills, good analytical reasoning, and ability to learn quickly, high adaptability to new
technologies and tools.
β’ Implementing and following Agile development methodology within the cross-functional team and acting as a liaison between the business user group and the technical team.
β’ Generating comprehensive analytical reports by running SQL queries against current databases to conduct data analysis.
β’ Leveraged IDEs such as Visual Studio Code and PyCharm to streamline data analysis workflows and enhance code efficiency.
β’ Performing exploratory data analysis to find insight such as the different efficiency of different devices using ggplot2 in R.
β’ Extract the data tables using custom-generated queries from Excel files, and SQL database, and provide exacted data as input to
Tableau.
β’ Developing Python modules to extract data from the MYSQL database.
β’ Participate in all phases of data mining, data collection, data cleaning, developing models, validation, and visualization.