Shriraj Bhareth

Highly skilled and motivated data analyst with 6 years of experience in leveraging data-driven insights to support business decision-making. Proficient in data wrangling, statistical analysis, and data visualization using tools like Python, SQL, Power Bi and Tableau. Strong problem-solving abilities with a detail-oriented approach to deliver accurate and actionable results. Adept at communicating complex technical concepts to non-technical stakeholders. Eager to apply my expertise in data science to drive innovation and contribute to the success of Organization.

E-Commerce Revenue Management

• Completed E-Commerce Revenue Management course focusing on Python for Data Science
• Utilized Python to analyze sales data and identify regions with highest sales volume, top-selling products, total
  revenue generated, and brands utilizing the E-Commerce portal

Segmentation using Clustering and PCA

• Conducted segmentation of digital marketing advertisement data using clustering techniques
• Identified and utilized optimum principal components to explain variance in primary census data

Predictive Modelling

• Completed a Predictive Modeling course focused on Computer-activated Project using Linear Regression to predict percentage time in user mode and Women's Contraceptive Project using Classification techniques
• Utilized skills in Linear Regression, Logistic Regression, CART, and LDA to analyze and model data effectively

DSBA SQL- New Wheels Case Study

• Developed and implemented a SQL project for the New Wheels Case Study to address declining sales and customer feedback concerns
• Demonstrated skills in fetching, filtering, aggregating data, and utilizing sub-queries and Case When functions