Junior Data Science Engineer at VMware

As a Junior Data Science Engineer at VMware, I enhanced predictive model accuracy through data wrangling, exploratory data analysis, and statistical profiling on large-scale datasets using SQL and Python. I designed and deployed interactive Tableau dashboards to track feature adoption, usage patterns, and customer engagement, enabling product decisions. I optimized Snowflake SQL queries for recurring analytics workflows, reducing dashboard refresh times by 40% and lowering cloud costs. I collaborated with ML engineers to improve churn prediction and usage forecasting, ensuring accurate ingestion from AWS-hosted ETL pipelines. I implemented KPI tracking and hypothesis testing frameworks to measure feature impact across customer segments, and integrated multi-source data (product, finance, marketing) to deliver accurate, compliant insights aligned with business needs.

Data Analyst Intern at MoneyGram

As a Data Analyst Intern at MoneyGram, I automated daily reporting workflows using Python (Pandas, NumPy) and SQL, reducing manual effort by 30% and improving data quality. I performed EDA on transaction data to uncover key usage patterns and support regulatory reporting. I collaborated with the data engineering team to integrate with AWS Redshift for faster queries and reliable cloud-based reporting. I built real-time dashboards primarily in Tableau and replicated select dashboards in Power BI for stakeholders. I combined datasets from product, finance, and marketing to support compliance-driven decision-making with greater accuracy.

Software Analyst at Dell Technologies

At Dell Technologies, I delivered business insights by analyzing large datasets with SQL, Power BI, and Python to enable leadership to monitor KPIs and optimize operational performance. I supported the development of predictive analytics models (Python, scikit-learn) to improve customer retention and demand forecasting across multiple regions. I collaborated with the data engineering team to automate ETL workflows using Apache Airflow, improving pipeline reliability and reducing manual processing time. I improved query performance in PostgreSQL and MySQL by optimizing indexes and analyzing slow-running queries for critical business reports. I designed and deployed interactive dashboards for cross-functional teams, streamlining weekly reporting and enhancing decision-making efficiency.

Jr. Data Science Engineer at VMware

Improved predictive model accuracy through data wrangling, EDA, and statistical profiling on large-scale datasets; designed and deployed interactive Tableau dashboards to track feature adoption and customer engagement; optimized Snowflake SQL queries, reducing dashboard refresh times by 40% and lowering cloud costs; collaborated with ML engineers to enhance churn prediction and usage forecasting; integrated multi-source datasets to deliver accurate, compliant insights; established KPI tracking and hypothesis-testing frameworks.

Data Analyst Intern at MoneyGram

Automated daily reporting workflows using Python and SQL, reducing manual effort by 30% and improving data quality; performed exploratory data analysis on transaction data to inform regulatory reporting; integrated with AWS Redshift for faster queries and reliable cloud-based reporting; built real-time dashboards in Tableau and Power BI for transaction trends; combined datasets from product, finance, and marketing to support compliance-driven decision-making.

Software Analyst at Dell Technologies

Delivered business insights by analyzing large datasets with SQL, Power BI, and Python, enabling leadership to monitor KPIs and optimize operational performance; supported development of predictive analytics models to improve customer retention and demand forecasting; collaborated with the data engineering team to automate ETL workflows with Apache Airflow; improved query performance by optimizing indexes and tuning slow-running queries; designed and deployed interactive dashboards for cross-functional teams.

Junior Data Science Engineer at VMware

Improved predictive model accuracy by performing data wrangling, exploratory data analysis, and statistical profiling on large-scale datasets using SQL and Python. Designed and deployed interactive Tableau dashboards to track feature adoption, usage patterns, and customer engagement. Optimized Snowflake SQL queries for recurring analytics workflows, reducing dashboard refresh times by 40% and lowering cloud costs. Collaborated with ML engineers to enhance churn prediction and usage forecasting models, ensuring timely ingestion from AWS-hosted ETL pipelines. Implemented KPI tracking and hypothesis testing frameworks to measure the impact of product features across customer segments. Integrated multi-source datasets (product, finance, marketing) to deliver accurate, compliant insights aligned with business needs.

Data Analyst Intern at MoneyGram

Automated daily reporting workflows using Python (Pandas, NumPy) and SQL, reducing manual effort by 30% and improving data quality. Performed EDA on transaction data to uncover key usage patterns and support regulatory reporting. Collaborated with the data engineering team to integrate with AWS Redshift, enabling faster queries and more reliable cloud-based reporting. Built real-time dashboards primarily in Tableau to visualize transaction trends, while also replicating select dashboards in Power BI for stakeholders who required it. Combined datasets from product, finance, and marketing teams to support compliance-driven decision-making with greater accuracy.