Sudarshan Waydande Email & Phone Number

Boston, Ma, Us

Massachusetts, United States

Conducted exploratory data analysis (EDA) using Python to identify trends, anomalies, and insights in financial datasets, enabling data-driven decision-making and strategic planning.• Utilized SQL for querying and manipulating financial data, improving data accuracy and consistency by 20%, which ensured compliance with regulatory standards and supported critical financial analysis.• Created complex visualizations and reports using ggplot2, enhancing the communication of financial trends and insights to stakeholders.• Designed and developed customized Tableau dashboards visualizing key financial metrics, which provided actionable insights that led to a 5% improvement in quarterly financial performance.• Implemented advanced Tableau features such as calculated fields, parameters, and table calculations to enhance the functionality and interactivity of financial dashboards.• Managed and optimized PostgreSQL databases, designing queries and procedures that improved financial data retrieval speeds, supporting analysis and reporting.• Leveraged AWS EC2 and S3 to enhance the scalability and security of financial data storage and processing, reducing operational costs and improving data accessibility for analysts.

India

Developed and implemented Python scripts to automate data extraction, transformation, and loading processes, streamlining workflows and increasing efficiency.• Executed complex SQL queries to retrieve data from multiple tables, employing joins, sub-queries, and set operations to gather comprehensive datasets for analysis.• Applied quantitative models using SciPy to address business problems, enhancing forecasting accuracy by 25% and optimizing risk management and pricing strategies.• Created advanced visualizations using Matplotlib to depict complex data relationships, trends, and patterns, facilitating clearer communication and understanding of results among stakeholders. • Conducted extensive EDA, identifying and rectifying data quality issues which increased the accuracy of subsequent analyses by over 40%.• Designed and deployed SSRS visualizations that highlighted critical business metrics, enhancing stakeholder engagement and understanding by 50%.• Developed and maintained automated reporting systems using MySQL, generating periodic reports that provide insights into business operations and performance metrics.• Automated ETL data workflows in Azure Databricks, ensuring streamlined data processing from ingestion to analysis, resulting in improved operational efficiency and reduced time-to-insight.• Established Azure Data Lake Storage, centralizing the storage of 15TB of structured and unstructured data, which supported a 20% increase in data accessibility for analytics.• Integrated Airflow directed acyclic graphs (DAGs) to streamline repetitive data cleaning tasks and execute other data processing tasks in a scalable and efficient manner, leading to reliable and standardized data processing procedures

Yekaterinburg, Sverdlovsk, Russia

•Conducted in-depth statistical analysis on consolidated renewable energy consumption for various weather conditions and developed dynamic analytics dashboards•Applied Machine Learning techniques, to predict power generation levels with an accuracy of 89% across varying weather conditions, including sunny, windy, and cloudy days•Managed database operations through strategic management of intricate SQL queries, implementing optimizations such as data pre-staging, table organization, indexing, and normalization for enhanced efficiency

• Developed and maintained Python scripts and SQL queries to automate data processing workflows, increasing efficiency and reducing manual effort by 40% in data manipulation and analysis• Applied data profiling techniques to gain insights into the structure and characteristics of datasets, facilitating informed decisions on data cleaning and preprocessing strategies• Utilized advanced data manipulation techniques with NumPy and Pandas libraries to transform raw data into structured datasets suitable for analysis, streamlining data wrangling processes and enhancing efficiency by 10%• Built over 20 complex Excel models incorporating PivotTables, slicers, and conditional formatting to analyze large datasets, resulting in the identification of actionable insights• Assisted database management tasks by designing and optimizing SQL queries for retrieving, aggregating, and summarizing data from SQL Server databases, ensuring data accessibility and reliability• Utilized Tableau's storytelling feature to create compelling narratives around data insights, facilitating better understanding and decision-making among stakeholders• Employed Matplotlib and SciPy libraries within Python to create over 50 advanced visualizations and perform complex statistical analyses, enhancing the depth and breadth of data exploration and interpretation

Master'S Degree, Information Systems

Courses: • Program Structure and Algorithms • Designing Advanced Data Architectures for Business Intelligence • Applied Machine Learning &.

Bachelor Of Engineering - Be, Computer Science