Sri Rashmitha Boya Email & Phone Number

Houston, Texas, United States

Houston, Texas, United States

● Crafted a data-driven compensation strategy creating KPIs from real time tracking fields in Salesforce, integrated with the HR system to effectively calculate employee productivity.● Uncovered hidden insights from disparate data sources to identify errors and automatically triggering trainings to avoid them in the future.● Used SOQL, Python to automate data flows and published multiple user centric Tableau dashboards.

Bloomington, Indiana, United States

Associate Instructor for the STAT - S- 352 -Data Modelling and Statistical Inference course

New York, United States

● Developed cash flow models to improve financial planning and fund allocation for a Fortune 200 Energy company. Deployed predictive models via Azure DevOps, incorporating advanced time-series forecasting, improving operational agility.● Built an efficient PySpark pipeline within Databricks for scalable data analysis, optimizing efficiency of 200M+ records of unstructured data and employed feature engineering techniques to create 23 KPI’s for analysis and model training.● Achieved a remarkable reduction of MAPE below 50% by employing powerful ensemble boosting models LightGBM and XGBoost with a dynamic rolling window approach over classical models to capture complex data patterns and overcome historical limitations.● Designed dynamic PowerBI dashboards to translate forecast results and scheduled Airflow DAGs to ensure daily data updates.

United States

Gurugram, Haryana, India

● Implemented advanced customer demand forecasting, analyzing multiple demand drivers and correlations to boost resource productivity using Python-based forecasting models like Prophet, SARIMA lowering MAPE to 18-26%.● Optimized sources and workflows using ETL pipelines leveraging SAS and Python scripts, automating data inflow from disparate sources, and eliminating Excel dependencies and reducing 90 hours of monthly manual workload.● Automated data and reporting infrastructure of midterm planning tool in PowerBI to provide weekly insights into resource utilization and business KPIs, extracted data using intricate SQL queries from Hive.● Designed and executed new resource utilization strategies across 21 areas, achieving a 30% improvement in service response times.

Gurgaon Sub-District, Haryana, India

• Worked in the field of analytics and planning to help fortune 500 companies in making better business decisions by developing data-driven insights. • Liaising with clients to translate business needs into actionable analytics projects and offer new perspectives.• Gained hands-on experience in processing structured and unstructured data using various analysis and visualization tools like R, R Shiny, SAS, PowerBI. Worked on automation and re-platforming models in Excel into R and R Shiny environment.Demand Forecasting Tool | Project 1• Performed hypothesis testing on more than 50 demand categories to find trends and seasonality as a part of demand forecasting. • Worked on different time series models like exponential smoothing, Holt-Winters forecast, seasonal Moving Average, SARIMA, Time Series Linear Regression, STLF decomposition and Neural Network to forecast demand metrics. Considered Mean Absolute Percentage Error as a performance metric for each model and compared it to decide a better performing one.• Received "Shining Star Award" (2021) for my work on forecasting tool using Machine Learning.• Worked on developing a model to predict potential breakdowns and resolving the issue of demand-capacity imbalance.Reschedule Rate Forecasting | Project 2• Proposed the use of Ridge and Lasso regression algorithms to overcome the issue of multicollinearity and to achieve dimensionality reduction. The proposed architecture outperformed the previous fitted models by improving accuracy to ~75%.• Achieved higher accuracy of 87% after using time series forecasting with ARIMA.

Master'S Degree, Data Science, 3.93

Activities and Societies: Data Science Club, NSBE, Women in TechRelevant Courses: Statistics Applied Algorithms Intelligent Systems.

Bachelor'S Degree, Electrical, Electronics And Communications Engineering, 8.20 Cgpa

Activities and Societies: NCC, Athletics, Art Club

12Th, Mpc, 98.1%

10Th, Board Of Secondary Education, Andhra Pradesh, 9.5 Cgpa