3+ years of experience in Data analysis, business intelligence, software development, data-driven applications, statistical analysis, and predictive modeling to derive business decisions
Skilled in MySQL and SQL Server f…
3+ years of experience in Data analysis, business intelligence, software development, data-driven applications, statistical analysis, and predictive modeling to derive business decisions
Skilled in MySQL and SQL Server for table creation, data population, and extraction.
Proficient in Data extraction, Data cleaning, Data Loading, Statistical Data Analysis, Exploratory Data Analysis, Data Wrangling, and Predictive Modeling through R and Python.
Familiar with cloud technologies such as AWS, Azure, and GCP, enabling seamless data analysis and storage in cloud.
Adept at crafting compelling visuals and narratives from complex datasets using data visualization tools, including Tableau, Power BI, and Microsoft Excel.
Seeking to leverage strong technical skills and creative problem-solving abilities to contribute to innovative projects.
• Coordinated and executed requirements gathering, analysis, and testing within the Agile framework for diverse applications.
• Leveraged Pandas API to structure data into time series and tabular formats, enhancing data manipulation and retrieval capabilities.
• Applied expertise in NumPy, Pandas, Matplotlib, Seaborn, SciPy, and ggplot2 for effective data manipulation and visualization.
• Utilized Integrated Development Environments (IDEs) including Visual Studio Code and PyCharm.
• Implemented SQL and Excel for data slicing and dicing, resulting in a notable 20% improvement in data cleaning and preparation, showcasing a commitment to innovative solutions beyond standard procedures.
• Created and maintained interactive dashboards using Tableau and Power BI, delivering real-time insights to marketing team and contributing to strategic decision-making.
• Leveraged cloud technologies, including AWS and GCP, for data analysis and storage in cloud environments.
• Optimized data retrieval through efficient management and precise querying on MySQL and SQL Server databases, reducing processes by 20 hours.
<p>Coordinated and executed requirements gathering, analysis, and testing within the Agile framework for diverse applications.<br>
Leveraged Pandas API to structure data into time series and tabular formats, enhancing data manipulation and retrieval capabilities.<br>
Applied expertise in NumPy, Pandas, Matplotlib, Seaborn, SciPy, and ggplot2 for effective data manipulation and visualization.<br>
Utilized Integrated Development Environments (IDEs) including Visual Studio Code and PyCharm.<br>
Implemented SQL and Excel for data slicing and dicing, resulting in a notable 20% improvement in data cleaning and preparation, showcasing a commitment to innovative solutions beyond standard procedures.<br>
Created and maintained interactive dashboards using Tableau and Power BI, delivering real-time insights to marketing team and contributing to strategic decision-making.<br>
Leveraged cloud technologies, including AWS and GCP, for data analysis and storage in cloud environments.<br>
Optimized data retrieval through efficient management and precise querying on MySQL and SQL Server databases, reducing processes by 20 hours.</p>
<p>Crafted business process models in Waterfall to document existing and future business processes.<br>
Carried out Data Analysis, Profiling, and Assessment to methodically evaluate data accuracy and quality using Python and libraries NumPy, and Pandas.<br>
Constructed SQL tables with referential integrity and engineered advanced queries through utilization of stored procedures and functions in SQL Server Management Studio.<br>
Applied TensorFlow, Keras, and Scikit-learn for machine learning, achieving a significant 15% boost in accuracy.<br>
Implemented OpenCV for image processing and computer vision tasks, contributing to image-based analysis projects.<br>
Created data visualizations using Power BI and Excel, resulting in a 30-hour saving in work hours.<br>
Deployed cloud-based ETL platforms, including AWS Glue, Azure Data Factory, and Google Cloud Dataflow, for efficient data preparation and transformation.<br>
Conducted data analysis and profiling using complex SQL queries, leading to a notable 20% improvement in accuracy.</p>
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