Anudeepa Yarlagadda Email & Phone Number

Sunnyvale, CA, US

Sunnyvale, CA, US

• Part of Customer Success BI team. Responsible for scaled analytics, self-serve data discovery, and data foundations for Customer Education and LinkedIn Learning products.
• Analytics and data discovery tools are used by Customer Success Managers for account planning and Sales Operations for Customer Segmentation.

Menlo Park, CA, US

• Design and execute experiments to measure and improve performance of marketing campaigns seen by 100 million users. The campaigns aim to promote Meta products and training resources to empower small businesses
• Responsible for SBG Empower pillar analytics, tracking campaigns that run at budget of $XXM. Responsibilities include analyzing A/B test results to report actionable insights, statistical data analysis (incremental.
• Work closely with global marketing leads and senior leadership to help inform decision making through data driven story telling. Metrics reported to FB COO and externally

Sunnyvale, CA, US

• Full-stack development of Machine Learning models for classifying B2B invoice customers by their risk of delinquency and for predicting payment delays, disputes, and best collection plan. Enabled selection and.
• Iterative model development using various techniques such as LSTM, Neural Nets, Random Forest, Gradient Boosting, and other ensembles and error analysis to add new features to improve accuracy
• ETL Pipelines and SQL snippets to generate features and labels from internal accounts receivables, 3rd party collections tool, and external D&B databases
• Deployed final models in prod server complete with set up scripts, predictions, metrics, and error tables after testing in dev and UAT
• Set up monitoring for model performance and drift in features and underlying data to inform model retraining

Santa Clara, CA, US

Modeled a stacking classifier using Random Forest, Naïve Bayes and Logistic Regression to predict end outcome of the sales opportunities helping business course correct along the way and win themWorked with business teams and analyzed multi-million dollar sales opportunities to identify and measure factors such as product differentiation, competitive.

• Built an SVM model to identify PII data in Consumer & Community Banking data ecosystem. This helps in applying appropriate access controls across this vast data ecosystem including legacy databases
• Building tools and frameworks to reduce turnaround time of Machine Learning projects from ideation to deployment by 50%
• Developed a tool using Association Rules Mining to identify dependencies among production jobs and reduce SLA failures of business critical and customer facing applications

Charlotte, NC, US

• Built a text mining application to find already known or reported bugs similar to a newly reported one using NLP
• Set up integration of business intelligence tools with R/Python to use advanced analytics and Machine learning in building metrics
• Metadata advisor: In BI projects, architects spend several hours analyzing the database to create schema and in identifying anomalies. I built a tool which automates the process and saves at least 40 hours for each.
• Demonstrated Tableau usage through my projects. Trained our team and XFN teams on it. This brought several new projects to our team

Houston, Texas, US

Executive Program In Business Analytics

Bachelor Of Technology (Btech), Electrical, Electronics And Communications Engineering