I am a dynamic, skilled, and self-motivated data scientist with great organisational skills. Ability to use and apply statistical models including machine learning tools on a wide range of complex datasets. Strong data analytics skills and programming skills in R and Python, as well as the ability to play a vital part in problem analysis and coming up with creative solutions in a structured manner. Excellent writing and spoken presentation skills in delivering complicated information in a user-friendly manner to a variety of audiences, including internal and external stakeholders.
Data Scientist (Dataquest)
CMI Professional Consulting (Member)
* The impact of age, gender, parent's income, and time lag on the class of degree obtained at the university.
* The correlation of accidents caused by drivers and the age of the driver in the UK: looking at parameters such as gender, type of car, location and time of accidents.
* The significant factors that support effective relationships in the supply chain: customer's perspective.
Tiebreaker Vogel's Approximation Method, a Systematic Approach to improve the Initial Basic Feasible Solution of Transportation Problems. (IEEE)
TOCM-TBVAM, a systematic way to improve the initial basic feasible solution of transportation problems.