Samar Abbas Email & Phone Number

London, England, United Kingdom

- Collaborated with clients to enhance operational efficiency and reduce shipping delays. Leveraged advanced analytical techniques and technologies to provide impactful recommendations, resulting in significant operational cost reduction.- Specialized in developing and implementing cutting-edge algorithms, machine learning models, and Natural Language Processing systems. Achieved notable improvements in shipment tracking accuracy, ensuring streamlined logistics.- Managed large volumes of structured and unstructured data, ensuring scalable and high-performance data solutions for faster processing, contributing to enhanced operational efficiency.- Quantitative analysis of data issues revealed valuable patterns and optimization opportunities, leading to a reduction in cargo damage incidents. Effective communication of findings through oral presentations and written reports fostered collaboration with Data & Analytics teams and clients, contributing to increased client satisfaction.

Houston, Texas, United States

Lahore, Punjab, Pakistan

I teach wide variety of courses, like Programming, Mathematics, Probability, Operation Research, Machine Learning, Stochastic Processes etc

Lahore

I teach wide variety of courses, like Programming, Sequential Optimization, Probability, Operation Research etc

Lahore, Punjab, Pakistan

- I worked on uplifting sales, customer retention for Auto & General, ENEL and TIM by employing statistical modelling, bayesian statistics, predictive modelling and forecasting, business intelligence and machine learning algorithms. - Designed and implemented models using regression techniques, classification methods and bayesian statistics using STAN through analyzing client’s historical data and optimizing the client’s overall revenue. Implemented a process of creating customer segments for marketing purposes using gradient boost algorithm.

Lahore, Punjab, Pakistan

I was part of Research and Development team and I have worked in different areas:- Time series data is regularly generated from production processes and I developed mechanism to identify anomalies in run time to avoid any future hazardous situation.- Production process often enters into phases where can help to predict the future behaviour of processes. To deal with such challenges I worked on timer series pattern detection.- In a production process, proper inventory management and scheduling is required. Ideal scenario is not to dump a lot of raw material on production site or not to observe stock out. To provide a solution for Unilever Pakistan, I used inventory modeling, routing, sequencing algorithms etc.- In production process, often the data generated by sensors are not aligned due to Gross Errors, Random Errors, Systematic Errors. To tackle these challenges, I worked on data reconciliation using Non-Linear Optimization.- When processes fail, identification of Root Cause is first and foremost important step. I developed statistical Root Cause Analysis mechanism to help management identify the critical components.- When process enters into alarm state, it takes some time to fail. This is the time to avoid severe consequences and it is called Remaining Useful Life (RUL). I used Hidden Markov Model, Deep Learning to identify this grace period.

Doctor Of Philosophy (Ph.D.), Machine Learning

My research area was time series forecasting to enhance human comfort using cheap cooling and heating devices

Master Of Science (Ms), Machine Learning, Data Mining, 3.9

I completed my MS in Data Science with Gold Medal. My thesis focused on identification of a segment of population which can be persuaded.

Master In Information And Operational Management, Optimization, 4.0

Activities and Societies: Incharge of Sport Gala, Member of Protocol Group in International Statistical Conference I completed this degree.

Cma, Accountancy, Costing

Bachelor Of Science (Bsc), Mathematics And Physics