Faheem Mohammed Abdul

Data Scientist at FliteX

• Canada - Toronto
• My current job since March 2023

As a Data Scientist, I mainly used advanced statistical analytical packages in Python to analyze the data and predict outcomes in data analytics and predictive analysis projects. Detailed responsibilities included Data collection, Data Exploratory analysis, Predictive Modelling, My expertise in statistical modeling, data manipulation, and machine learning has been integral in achieving successful project outcomes and contributing to the overall success of data-driven strategies. I have effectively communicated these findings to clients through comprehensive reports and interactive dashboards.
 Experienced in-depth data analysis, data cleaning, and data exploration to identify patterns, trends, and relationships within large datasets.
 Performed EDA with a target to Identify, Analyze, reveal trends, identify root causes of forecasting errors, and develop innovative features that drive further value.
 Experienced in providing analyses, which included descriptive statistics, forecasting, and predictive models.
 Performed statistical analysis and model validation metrics to conclude the models based on business requirements, feature engineering, model fitting, model tuning, and model validation.
 Experience in Machine learning techniques including Linear and Logistic Regression, Predictive Modelling, , KNN, K-means clustering.
 Developed and deploy machine learning models to create predictive analytics solutions, including regression, classification, clustering, and time-series analysis.
 Evaluated the performance of machine learning models and implement techniques to optimize model accuracy, efficiency, and robustness.
 Utilize advanced statistical techniques and machine learning algorithms to build predictive models that provide actionable recommendations.
 Engaged in effective communication with colleagues and peer groups, providing written reports and delivering presentations that support problem-solving and planning efforts.

Data Science Analyst at Telus Communication

• Canada - Toronto
• August 2021 to February 2023

As a Data Science Analyst, I mainly used advanced statistical analytical packages in Python to analyze the data and predict outcomes in data analytics and predictive analysis projects. Detailed responsibilities included Data collection, Data Exploratory analysis, Predictive Modelling, and development of reports and dashboards for clients.
 Experienced in extracting data using data mining techniques to expose trends and analyze forecasting measures.
 Experience in designing and developing advanced analytic solutions for business problems.
 Experienced in handling large datasets to build statistical models. In addition, implement statistical and machine-learning models using Python.
 Experienced in translating business requirements into useable, high-quality products such as Reports, Analyses, and Dashboards.
 Performed statistical analysis and model validation metrics to conclude the models based on business requirements.
 Experienced in handling large datasets to build statistical models. In addition, implemented statistical and machine-learning models using Python.
 Prepared dashboards based on the model's analysis and findings using PowerBI.
 Strong Knowledge in Machine Learning models with advanced analytical techniques along with grid search and hyper-tuning.

Data Science Analyst at Don Valley Advanced Solutions

• Canada - Toronto
• November 2019 to July 2021

 Experienced in extract data using data mining techniques to expose trends and analyze forecasting measures.
 Experience in designing and developing advanced analytic solutions as per business problems.
 Collected, interpreted, analyzed results using statistical techniques, cleaned, framed data sets for various project initiatives, and provided with ongoing reports.
 Performed EDA with a target to Identify, Analyze, reveal trends, identify root causes of forecasting errors and develop innovative features that drive furthermore value.
 Performed statistical analysis and model validation metrics to conclude the models based on business requirements.
 Experienced in Translate business requirements into useable, high quality products such as Reports, Analyses and Dashboards.
 Experienced in providing analyses, which included descriptive statistics, forecasting, and predictive models.
 Experienced in handling large datasets to build statistical models. In addition, implemented statistical and machine learning models using Python.
 Developed dashboards based on various business requirements and experience with Business Intelligence and Data visualization platforms using Tableau.
 Supported the business by operationalizing reporting, KPIs and dashboards using Tableau

Business Consultant at Trfas Establishment

• Saudi Arabia - Riyadh
• June 2017 to September 2019