Senior Data Science Consultant

• Sep 2021 - Present

I develop production-level machine learning solutions to solve business problems, increasing efficiency and speeding up the decision-making process. • Engaging with end-users to understand the business problem. Defining the user requirements, project scope and high-level system architecture. • Planning tasks and setting technical direction and priorities for the team. Streamlining team coordination and mentoring junior team members. • Writing and maintaining code from the development phase to production. Developing machine learning models to automate the generation of data-driven insights, saving time to end-users. Building data engineering pipelines to make data consumable for modelling. • Implementing innovative algorithms from research papers into code to solve complex problems. • Engaging with stakeholders to promote the solution and its benefits. • Data Science Focus Areas: Machine Learning, Computer Vision, Deep Learning, Natural Language Processing, Information Retrieval • Tech Stack includes AWS, Python, Docker, Git, PostgreSQL and Apache Airflow

Aero-Thermal Engineer | Python Developer

• Jan 2020 - Sep 2021

Within Fans and Compressors team at Rolls-Royce, I was working on the development of the next-generation jet engine. I developed a data analysis tool focused on feature engineering with the aim to build predictive models and derive valuable insights from rig test measurements. • Engaged with the Technical Authority to define software requirements. • The analysis code processes raw test data from rig test measurements and performs advanced feature engineering. The code is written in Python and uses a variety of libraries including Pandas, Numpy and Scipy. Rigorous version control of the code was maintained via Git software. • Improved the quality of sensor data by performing data cleaning through anomaly detection & time‑series analysis. Enhanced code reliability by automating the handling of faulty measurements. • Automated data visualisation reports to monitor the test results and inspect the data quality. • Realised the full potential of the data by creating new features using an optimisation algorithm.

Aerodynamics Engineer - Advanced

• Apr 2019 - Jan 2020

Within Motors & Power Systems development team, I was responsible for the aerodynamic development of high-speed electric motors which are integrated into Dyson's products.• Optimised the aerodynamic design of the compressor using CFD simulations.• Validated the performance of new designs and analysed the results based on experiments.• Improved data management by building a database in SQLite and automated data analysis using Python.• Developed Tree-based machine learning models in Python and performed sensitivity analysis to understand the key design modifications driving performance based on Design Of Experiments. Analysed feature importance to explain the model predictions (Explainable AI).• Performed statistical analysis of the high-volume production data in Python to study the variation of the motors performance due to manufacturing tolerances. Data was extracted using Google Cloud Plateform (GCP) and SQL BigQuery.

Aerodynamics Engineer

• Oct 2016 - Apr 2019

Graduate Aerodynamics Engineer

• Oct 2015 - Oct 2016

Master Thesis Project

• Apr 2015 - Sep 2015

Passive Shock Control for Transonic Aerofoils. Study of the impact of Passive Air-Jet Vortex Generators on the shock-induced separation. • Design of the air jets on the leading edge of a test aerofoil. • Wind tunnel testing and flow visualization using Schlieren technique. • CFD simulations using Ansys Fluent and comparison with the experiments. Applications: Helicopter advancing blade, Engine turbine blades Passive Shock Control for Transonic Aerofoils. Study of the impact of Passive Air-Jet Vortex Generators on the shock-induced separation. • Design of the air jets on the leading edge of a test aerofoil. • Wind tunnel testing and flow visualization using Schlieren technique. • CFD simulations using Ansys Fluent and comparison with the experiments. Applications: Helicopter advancing blade, Engine turbine blades

Internship

• Jun 2014 - Sep 2014

In the Services and Customer Support department, I was in charge of managing the spare parts dedicated to the A340-500 fleet of Singapore Airlines. • Sort spare parts: A345 specific parts or common with other fleets (A330,A380,A320...) • Close analysis of specific parts: search for relevant interchangeabilities and upgrades via technical documentation. • Propose a detailed action plan for spares redeployment and launch actions In the Services and Customer Support department, I was in charge of managing the spare parts dedicated to the A340-500 fleet of Singapore Airlines. • Sort spare parts: A345 specific parts or common with other fleets (A330,A380,A320...) • Close analysis of specific parts: search for relevant interchangeabilities and upgrades via technical documentation. • Propose a detailed action plan for spares redeployment and launch actions

Internship

• Feb 2012 - Feb 2012

Operator in a production line and quality control of fizzy drinks. Operator in a production line and quality control of fizzy drinks.