Mohsin Ali Abbas Email & Phone Number

· A member of Performance Improvement Team, reporting to the Business Performance GroupHead.· Responsible for the provision of analytical reports to key Station Delivery Team Meetings.· Preparing Performance Improvement/Training Committee meeting reports to identify learning.· Contributing to the Quarterly Performance Improvement Health Report.· Responsible for supporting the monthly KPI Metric updating process and ensuring that fleet deadlines are complied with.· Supporting the annual KPI setting and Business Planning rounds.· Liaising with the Business Planning peer group to share best practice and to continually improve local and fleet performance.· Providing analyst support to other Departments.· Preparing analytical reports from Coaching Database / Task Observation Database.· Updating Station Accountability metrics.· Collecting and trending Key Station statistics (such as Post Trip Cooling system performance).· Maintaining and communicating local Business Plan statistics.

Stockton-On-Tees, England, United Kingdom

• Analyzing data base entries for accurate inventory records and possible problems.• Employing a proactive approach to promptly address and resolve inventory issues, ensuring minimal disruption to operations.•Ensuring the accuracy and precision of data used in issue resolution, utilizing data validation techniques and meticulous attention to detail.•Working in fast paced enviornment and Implementing Analytical Problem Solving strategies for warehouse inventory issues to provide Solutions and actionable insights for immediate stakeholders.•Effectively communicating data-driven solutions to both technical and non-technical audiences.•Creating day to day reports for data anomalies and solving problems.

Stockton-On-Tees, England, United Kingdom

Middlesbrough, England, United Kingdom

Provided valuable insights through data analysis and visualisation, supporting informed decision-making. Assisted in research and experimentation of new machine learning techniques and technologies. Created documentation for code, models, and experiments and collaborated on data collection, preprocessing, and annotation tasks.• Drove 14% reduction in operational costs for clients by streamlining surveillance processes.• Achieved 79% accuracy by developing/optimising real-time human detection and counting algorithm using HOG and OpenCV algorithms.

Pakistan

Performed data analysis, visualisation, and feature engineering to identify relevant insights. Utilised Python and SQL to analyse and visualise extensive sales datasets. Interacted with data scientists and engineers to develop, test, and deploy machine learning models. Gathered and processed large datasets, ensuring data quality and accuracy.• Accelerated a remarkable 17% improvement in operational efficiency by identifying trends, patterns, and anomalies.• Facilitated over 20 accurate sales forecasts, leading to an 11% reduction in excess inventory, through active participation in the development and optimization of machine learning predictive models.• Contributed to a notable 15% enhancement in sales strategy implementation, providing stakeholders with actionable insights. This was achieved by creating interactive data visualizations after pulling and cleaning data from more than 20 sources using SQL queries.• Spearheaded a 20% boost in sales revenue within two quarters by skilfully implementing data-driven solutions and fostering collaboration with cross-functional teams. The process involved extensive data cleaning, querying, and the creation of insightful interactive dashboards using Power BI.

Wah Cantt

During my time in internship I have visited and equaly worked with the technical staff to tackale the real time problems that are usualy faced. I have seen the praticle implementation of my technology.

Master'S Degree, Artificial Intelligence, Merit

Progressed in field of data analytics machine learning and deep learning.

Ms Electrical Engineering, Artificial Intelligence And Machine Learning

Bachelor'S Degree, Electrical And Electronics Engineering, Cgpa 3.43/4.00