Yallayi Sukruth

Experience

• 

  Mu Sigma Inc.

  Jan 2021 - now

  Campaign AnalyticsThe marketing team of a Fortune 100 Retail company wanted to target the right audience/customer by engaging new customers and retain existing customers to increase salesCustomer Retention:Extracted valuable and meaningful insights from customer data through exploratory data analysis and predictive models (MLR, SVM). Utilized analytical techniques to uncover patterns, trends, and relationships within the datasetImplemented clustering algorithms such as K-means and Gaussian Mixture Models (GMM) to categorize customers based on their characteristics, enabling data-driven decision-making and personalized marketing strategies to enhance customer acquisition and retention, resulting in improved upliftment of sales and higher conversion ratesImplemented effective modeling strategies for targeting the right customer groups yielded significant results, resulting in overall sales increase by more than $2 million AUDCampaign Analysis:Automated the generation of comprehensive campaign analysis reports using Python, moving from a manual process of querying using SQLIncorporated diverse metrics to evaluate performance effectively by dialoguing with the stakeholdersDeveloped scripts & pipelines to extract data from multiple sources, preprocess them and perform in-depth analysis. Incorporated various libraries and frameworks such as pandas, NumPy, and scikit-learn to process & analyze data efficiently Show less Web DevelopmentThe finance team of a Fortune 50 CPG company wanted to move from a manual framework of visualization to an automated application to view the budget allocation & expenditure with security & controls in placeSpearheaded the development of numerous intricate logic APIs tailored specifically for finance budgeting purposes. These APIs were pivotal in handling the intricate calculations, validations, and data manipulations inherent in financial operations.Leveraged Django's robust framework and the powerful capabilities of DRF, successfully built a scalable and secure solution adept at addressing users' requirements for budget management and expense allocation with precision and security at its coreLed the development of a Django REST Framework application tailored specifically to address the financial requirements of the customers Show less

  • Trainee Decision Scientist - 4

    Jan 2024 - now

  • Trainee Decision Scientist -3

    Jan 2023 - Dec 2023

  • Trainee Decision Scientist - 2

    Jan 2021 - Dec 2022