Over 7 years of IT expertise specializing in MS SQL Server database design, analysis, and support. Proficient in Python (Pandas, NumPy, Seaborn) for media data analytics, adept in Star/Snowflakes schemas, and skilled in …
Over 7 years of IT expertise specializing in MS SQL Server database design, analysis, and support. Proficient in Python (Pandas, NumPy, Seaborn) for media data analytics, adept in Star/Snowflakes schemas, and skilled in exploratory data analysis, visualization, and ensuring data integrity and compliance. Experienced in Crystal Report, SSRS, Report Builder 3.0, Azure Data Factory, T-SQL, Spark SQL, U-SQL, Azure Data Lake, Azure Storage, Azure SQL, and Azure Databricks.
Working as a freelancer, handling multiple projects with various data set, analyzing the data and finding fruitful insights using statistical methods.
Through python libraries like Pandas Numpy and Seaborn, I do data transformation and manipulation and through Power BI I make interactive dashboard to make my clients understandable.
Produced advanced Excel reports and documents for data presentation.
Identified trends and patterns in complex datasets.
Analyzed transactions for business intelligence models.
Developed policies ensuring regulatory compliance.
Tested data prediction algorithms and utilized data visualization tools effectively.
Implemented compression strategies and utilized Python for data preprocessing.
Conducted exploratory data analysis (EDA) and developed data visualization techniques.
Analyzed audience behavior and leveraged predictive modeling techniques.
Ensured data integrity and compliance.
Produced concise Excel reports for stakeholder insights and resource optimization.
Implemented code solutions for analytics and tested data prediction algorithms.
Analyzed data using statistical methods and synthesized actionable business reports.
Designed tools for strategic value chain optimization and presented insights to stakeholders.
Produced detailed business reports and conducted operational reviews.
Organized training plans and improved internal systems.
Gathered, documented, and modeled data to assess business trends.
Conducted operational reviews and improved internal systems.
Analyzed and synthesized data insights for strategic decision-making.
Managed projects independently, meeting tight deadlines.
Initiated market research studies and analyzed findings for business growth strategies.
Produced concise Excel reports and identified trends.
Collaborated with business-unit leaders and developed solutions.
Coordinated statistical activities and developed reporting tools.
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