Umair Mehmood

UMAIR MEHMOOD Cell No. - Email - DOB 12th August, 1993 EDUCATION Qualification Institute Grade / CGPA Year Master of Data Science Bachelor of Computer Science A Levels University of South Australia Institute of Business Administration Beaconhouse School System 6.43 / 7.0 3.50 / 4.0 2 A’s and 1 B 2017 - - ACHEIVEMENTS ➢ Recipient of the prestigious Vice Chancellor Excellence Scholarship at University of South Australia. ➢ Dean’s List student at the Institute of Business Administration (IBA). TECHNICAL SKILLS ➢ Proficient in Python, R, SAS, Weka and MySQL for Data Analysis. ➢ Creating insight driven data visualizations using Tableau. ➢ Good understanding of Supervised and Unsupervised Learning Algorithms and their implementation. ➢ Good understanding of descriptive and inferential statistics for data analysis. ➢ Time series Analysis using AR, MA, ARMA and ARIMA models. ➢ Sound knowledge of ETL and Data warehousing. ➢ Proficient in WordPress, PHP, HTML, and CSS. PROFESSIONAL EXPERIENCE ➢ Manchester Metropolitan University – Data Scientist (October 2021 – Present) Innovating vending machines at the Broderick's group by integrating predictive stock ordering and restocking systems via artificial intelligence. ➢ DARAZ (Ali Baba Group) – Data Analyst (December 2020 – October 2021) • Developing value driven reports, analyzing data and creating dashboards • Implementing predictive modelling techniques to predict and reduce cash on delivery order cancellations • Providing data Science training to the data analyst team. ➢ Auditor General’s Department South Australia – Capstone Professional Project (March -2019 – June 2019) Developed staff performance tracking dashboard to track and manage audit jobs and measure staff productivity. The data was extracted, cleaned and processed through SQL and the useful insights were displayed via Tableau. ➢ University of South Australia – Research Data Analyst Intern (Feb 2019 – March 2019) Worked on edX log data to extract meaningful measures of student learning. Used Python and R for data preprocessing and applied clustering algorithms to cluster students based on their engagement levels on the learning management system. ➢ University Course Projects: • Statistics for Data Science: Analyzed bank data for identifying and targeting potential customers to sign up for new term deposit. • Data Visualization: Visualized South Australia Crime Data (2014 - 2017) to analyze crime levels in different suburbs of the state, gain better understanding of the types of crime committed, determine the safety level of suburbs and analyze potential criminal activity timings. • Social Media Analytics: Scraped Amazon product data and analyzed it via text mining to identify • • product strengths and weaknesses. Customer Analytics: Conducted credit scoring for risk analysis on Brazilian bank data. Predictive Analytics: Implemented various predictive modelling techniques such as Decision trees, Naïve Bayes, Neural Network and K-Nearest Neighbors to predict the quality of wine from the wine quality data and then performed model evaluation. ➢ University of South Australia – Enquiries Team Support (July 2019 – December 2019) Processed international student applications and assisted them with their enquiries related to their application status and studying at University of South Australia. ➢ University of South Australia – International Student Ambassador (April 2018 – December 2019) Built positive relations between University of South Australia and prospective students by helping the students with their queries regarding their admission offer, student life at UniSA and living in Adelaide. ➢ On the Run – Console Operator (April 2018 – January 2019) Helped OTR to create a positive customer service experience and assisted in processing cash, Credit/debit card, third party transactions along with POS opening and end of shift procedures, cleaning, shelving items, removing expired products, and working as a barista. ➢ Institute of Business Administration – Course Instructor (February 2017 – June 2017) Taught web development course “PHP with MySQL”. ONLINE CERTIFICATIONS ➢ ➢ Logistic Regression in R Studio (June 2020) Tableau: How to Analyze and Deep Dive any type of Data (June 2020) REFERENCES Available upon request.