Tashi Tamang

Senior Data Analyst @Walmart

NY, US

As a Senior Data Analyst at Walmart, I spearhead the development and validation of sales prediction models using Python and scikit-learn, employing techniques such as linear regression, decision trees, random forests, and gradient boosting machines. I optimize query performance by storing data in columnar format through Redshift and collaborate on deploying fault-tolerant data ingestion layers with Apache Kafka, enhancing real-time transaction processing for POS systems. My role includes enforcing rigorous data cleansing and quality control procedures, significantly improving data accuracy and reducing errors. Additionally, I leverage Python libraries like BeautifulSoup and Scrapy for data scraping, and I create efficient Tableau dashboards, reducing analysis time. I conduct A/B testing and experiments to evaluate the impact of new initiatives on store performance and customer satisfaction, and I support the implementation of advanced data security measures, fortifying our data protection framework.Key Contributions- Developed and validated sales prediction models using Python and scikit-learn, employing linear regression, decision trees, random forests, and gradient boosting machines- Optimized query performance by storing data in columnar format through Redshift, enhancing analytical workload efficiency- Deployed a fault-tolerant data ingestion layer with Apache Kafka, amplifying real-time transaction processing and delivering actionable insights- Utilized Python libraries such as BeautifulSoup and Scrapy to scrape and collect data from various web sources- Created efficient Tableau dashboards, reducing analysis time by and improving decision-making processes- Conducted A/B testing and experiments to evaluate the impact of new initiatives on store performance and customer satisfaction- Supported the implementation of advanced data security measures, significantly minimizing data breaches and fortifying data protection.