Sadman Sakib Email & Phone Number

Ontario, Canada

Ontario, Canada

Full-time Data Scientist at EXL Service (EXL Health). Computational data analytics and machine learning to enhance healthcare services, clinical decision-making by identifying high-risk, high-cost members for proactive care management interventions. Working as a Data Scientist with multiple cross-functional teams with numerous exciting projects in healthcare industry for various clients across the USA. My job responsibilities include but are not limited to:- Write code for Exploratory Data Analysis (EDA) using SQL, Pandas, PySpark, Matplotlib, Seaborn- Perform ETL jobs to ensure big data is loaded properly from Azure Databricks, HIVE Data Warehouse using SQL and PySpark- Feature engineering to make sure the data is appropriate for ML models using NumPy, Scikit-learn- Perform correlation analysis and feature selection before the ML analytics- Identify and develop the optimal ML models (by conducting hyper-parameter tuning using AutoML) that outperform existing models in production - Write production-ready code and collaborate with technology team to deploy the model- Query optimization to deliver scalable data solutions both using SQL, Pandas, and PySpark- Write code for performance evaluation (i.e., ROC, AUC Score, Recall, Precision, F1 Score, R2, Average savings/PMPM, Gap prevalence, Condition prevalence etc.) of the existing models with the latest client data to ensure the models are performing appropriately- Develop POC (Proof-of-concept) of ML methodologies from various published manuscripts and implement into production- Gather useful insights to impact business decisions using data transformations, quantitative analysis, causal inference, hypothesis testing, statistical significance test, correlation analysis, feature selection- Creating and maintaining technical document/report for data science or AI models, ensuring that knowledge is shared and the work can be replicated by others.

Halifax, Nova Scotia, Canada

Worked as a full-time Data Scientist & DL Developer (Acoustic) at MERIDIAN (Marine Environmental Research Infrastructure for Data Integration and Application Network), Dalhousie University, Halifax, Nova Scotia, Canada. My role at MERIDIAN briefly involved the following tasks:- Use Python libraries to pre-process low-frequency audio signals- Create data analysis pipeline to classify marine species (i.e., Orca, bow-head whale, etc.) by using acoustic data- Utilized MERIDIAN's Ketos package to extract spectrograms from audio and then trained Deep Learning models to classify spectrograms- Apply data augmentation techniques such as SpecAug to increase the training sample of the DL model, which lead to performance enhancement of the model- Contribute to the development of the Python-based Ketos package (https://docs.meridian.cs.dal.ca/ketos/)- Maintain test data and annotations from various sources- Analyze key performance indicators (KPIs) for multiple test data sources

Thunder Bay, Ontario, Canada

- Courses conducted as a GA: Software Engineering, Computer Architecture, Smart Health Informatics, Computer Vision, Computer Networks, C Programming Language- Delivered tutorial lecture class for graduate students on ML/DL

Thunder Bay, Ontario, Canada

- Conducted literature review of different projects and implemented solutions using state-of-the-art Deep Learning techniques- Worked on several ML/DL-related projects using highly unstructured data in signal processing, time-series data, and medical imaging domains.

Dhaka

- Conducted classes of different programming courses. Also, acted as an academic advisor for the students and a member of the undergraduate thesis defense committee. Supervised more than 10 intern students and 3 project groups- Courses conducted: Java OOP, Data Structures, Algorithm Design, Database Design, Numerical Methods

Dhaka

Worked as a full stack software engineer. Wrote maintainable code for web applications using PHP's Codeigniter framework. Designed and managed MySQL database and developed APIs for mobile applications

Master'S Degree, Computer Science (Specialization In Artificial Intelligence), Cgpa 4.00 Out Of 4.00 (94.6% Marks)

Activities and Societies: Graduate student's poster presentation competition, Teaching assistantship

Bachelor Of Science - Bs, Computer Science, Cgpa 3.66 Out Of 4.00

Activities and Societies: Soccer, Programming Contests