Sharath Banoth Email & Phone Number

United States

• Utilized AWS services such as EC2, S3, Lambda, and Redshift leading to a 25% enhancement in data processing efficiency, cost-effectiveness, process automation, accelerated analytics, and data-centric decision-making.
• Industrialized various interactive dashboards using Tableau to communicate data trends and KPIs to non-technical audiences, leading to a 30% increase in data-driven decision-making.
• Engaged in advanced statistical techniques like hypothesis testing and regression analysis to forecast future trends with 70% accuracy, informing strategic decision-making
• Created multiple informative visualizations (histograms, scatter plots, boxplots) using Matplotlib and Seaborn to communicate complex data insights to stakeholders, leading to a 30% improvement in decision-making.
• Established various SQL queries and stored procedures to extract, transform, and load customer data from MySQL into a data warehouse, increasing data ingestion efficiency by 25%.
• Achieved a 20% enhancement in data lake integration efficiency by seamlessly connecting and querying data in data lakes, leveraging Snowflake capabilities for effective integration

• Wrote and optimized complex SQL queries to extract and transform large datasets from relational databases (SQL Server, PostgreSQL), retrieving 1 million records for analysis.
• Established and maintained SSIS packages to extract, transform, and load (ETL) data from various sources (databases, flat files, APIs) into data warehouses, improving data processing efficiency by 20%.
• Developed and deployed a predictive customer churn model using random forest that accurately predicted customer churn with a 92% accuracy rate, resulting in a 25% reduction in customer churn costs.
• Extracted and cleaned terabytes of data from relational databases (MySQL) and cloud data warehouses (Snowflake) to prepare for analysis, ensuring data accuracy and reducing analysis time by 20%.
• Collaborated with business stakeholders to develop a data strategy aligned with the organization's long-term goals, driving data-driven innovation and business growth.

India

• Accomplished interactive Power BI reports leveraging advanced DAX and Power Query modeling techniques to unlock deeper data insights and facilitate informed decision-making.
• Employed Amazon SageMaker to build and deploy machine learning models, improving predictive accuracy by 25%.
• Performed Data Cleaning, Data Screening, Data Exploration, Data visualization, Feature Selection, and Engineering using Python libraries such as Pandas, NumPy, Scikit-learn (Random Forests), and Matplotlib.
• Built dashboards using Looker Studio, providing stakeholders with actionable insights and improving business performance.
• Crafted ad-hoc SQL queries using joins, database connections, and transformation rules to fetch and transform data from legacy MySQL and SQL Server systems, improving data retrieval speed by 20% and automating.
• Collaborated with marketing to design and execute A/B tests, measuring the impact of marketing campaigns on ROI