Rameez Khawaja Email & Phone Number

Mannheim, Bw, De

Palo Alto, California, United States

Palo Alto, California, United States

Dallas, Texas, United States

Dallas, Texas, United States

- Spearheaded data preprocessing and feature engineering development in the modelling pipeline, resulting in a 20% reduction in run time.- Employing Gradient Boosting (XGBoost, LightGBM) to derive prospective features for predictive models resulting in 7-10% increased accuracy.- Utilized grid search optimisation to identify optimal hyper-parameters, reducing manual retraining process time by 50%.- Developed robust production monitoring protocols resulting in a 75% reduction in client production incidents in the following months.Applied Skills: Python (Pandas, Numpy, Scikit-learn), MySQL, Airflow, DBT

San Francisco, California, United States

Team: Data Analytics and Value Engineers - Diving into the client's raw data to develop logical insights that can potentially impact the client's intergration with our product.- Responsible for validating the business case and onboarding of new and prospective clients.- Coordinating with the client regarding data requirements to optimize our Machine Learning models- Creating dashboards to visualize metrics to define performance- Performing data analysis to make sure that our pipeline is working in conjunction with the client's environment- Making any relevant changes in the ETL Metadata Model to incorporate changes made in client's business side.Tools Used: Microsoft Azure Platform, Python (Databricks), PySpark, SparkSQL, SAP (S/4Hana), Google Big Query, Microsoft Power BI.

Karāchi, Sindh, Pakistan

- Generated over €0.5 million in combined monthly revenue in this period, across all managed telecom and utility clients in the European region.- Performed advanced analytics to develop precise customer segmentation models, achieving 5% incremental revenue targets for the company.- Utilized permutation importance for feature selection to pinpoint key predictors, enhancing model precision through feature engineering.- Applied Bayesian statistics and regression techniques, such as Decision Trees and Random Forest, to successfully rank entities and classify customers into segments with over 95% accuracy on test data.

Karāchi, Sindh, Pakistan

Optimizing Revenue for European Telecom Clients- Understand the client's routing structure to analyze the environment for optimizability.- Understand the client's business logic and process flow to map the data correctly.- Validate performance metrics to figure out the most influential variables for optimziing revenue on the client.- Visualize trends to shortlist variables that can act as valuable predictors, to be used for modelling.- Build AI models using statistical inference.- Report Performance and identify factors that impact performance based on the active trends.Tools Used: R/Python, MySQL, PostgreSQL, MS Suite

Karāchi, Sindh, Pakistan

TasksResponsible for maximizing the payoff on Italian Accounts (Telecom Italia, ENEL)- Deliver Analysis as requested by the Client Data Services team to measure the performance based on certain variables.- Collaborate with the Data Engineering team to ensure integrity of the data the AI Team uses to generate their models.- Design a data pipeline to incorporate all the the data transformations required on the raw data as provided by the clients (ETL).- Analyse potential variables to come up with the best optimization metric for the AI Team to base their models on.- Make changes in the matching query logic for the client to incorporate any updates on client side.Tools Used: MySQL, PostgreSQL, MS Suite

Karāchi, Sindh, Pakistan

Teaching Assistant for the course of Computer Architecture for Spring 2020.

Bachelor’S In Science, Computer Science

Courses: - Data Structures - Data Science - Database Systems - Probability and Statistics - Business Analytics Techniques

Biek - Intermediate, Pre-Engineering, A+

Activities and Societies: Debating - Writing