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Faisal Fizz

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United States

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Jobs verified_user 0% verified
  • M
    Sr. Data Analyst
    MTech, LLC
    Jan 2024 - Current (2 years 7 months)
    As Sr. Data Analyst one of the main projects I did was to work on improving our server deployment processes which essentially made data management a simple process with the help of Power Automate plugins. I have created a system that acts as an efficient assistant: to constantly verify our dataset is valid and available for use, at all times. Crafted data visualizations with Microsoft Power BI dashboards to ensure everyone on the team could understand our server deployments, not just the engineering geniuses. The dashboards are designed to be user-friendly and serve as an intuitive nudging father that will slow you down or stop your activities if key data is not in the position. I went a step further to make it admit seamless integration. I
  • F
    Data Analyst
    FixelCloud Onlife Health Inc
    Jan 2023 - Dec 2023 (1 year)
    Brain .. Segmentation of brain MRI images for better diagnosis and treatment, directed and focused analysis. Collected MRI scans with the help of radiologists. Applied normalization, reduction of noise, and augmentation for better-quality data. .. Applied machine learning methods for the development of segmentation models using CNNs, in particular U-Net. Extracted and analyzed features by applying statistical methods and ML algorithms that discriminate between tumor and non-tumor tissue. ... Model performance was evaluated with the Dice coefficient, Jaccard index, precision, recall, and F1 score. Designed automated pipelines for efficient data processing and model evaluation. Worked with medical professionals and data scientists. Created de
  • Ascension Health
    Microsoft Power BI Developer
    Ascension Health
    Aug 2021 - Feb 2022 (7 months)
    Led the development of engaging dashboards to enhance the visualization and reporting of health data. Designed ETL pipelines using SQL and Python to integrate and cleanse voluminous data streams of healthcare. .. Developed enhanced dashboards using Tableau and Power BI with involved visualizations and interactive elements. . Carried out statistical analysis and applied machine learning to find trends and insights within healthcare data. . Enhanced dashboard performance through indexing, query optimization, and data modeling. . Completed user training and developed complete documentation.
  • G
    Jr. Data Analyst
    Gameloft (Vivendi Mobile Games Publisher)November
    Jan 2019 - May 2020 (1 year 5 months)
    Churn Detection, Lifetime Value Prediction, and Automation Projects Prototyped and deployed a Random Forest model detecting paying users, then integrated it into the production systems under the mobile game publisher Gameloft at Vivendi. Used varied machine learning models such as GBM, LSTM, etc., in predicting the cohort cumulative lifetime value for DMLegends using the data fromthe first 3 days. This reduced the error rate to 18%. Developed automated reports, developed APIs, and analyzed survey data for different clients, which streamlined the data analysis processes and increased the quality of decision-making. Implemented data governance protocols to ensure data integrity and compliance; ran A/B testing to assess the efficacy of marketi
  • S
    Data Analyst
    ScrollTab
    Led the creation of an intuitive recruitment analytics dashboard, providing clear insights into hiring trends and candidate pipeline. Actively sought and incorporated feedback to continually refine and improve the dashboard's usability and effectiveness. . Ensured stakeholders received concise, actionable insights, enabling informed decision-making in recruitment processes. ... Collaborated closely with teams to tailor the dashboard to meet their specific needs and preferences. Kept a sharp eye on data accuracy and reliability, maintaining trust in the insights provided. Focused on making complex data accessible and understandable, empowering teams to make smarter hiring decisions.
Education verified_user 0% verified
  • University of Phoenix
    BACHELOR'S IN
    University of Phoenix
Projects (professional or personal) verified_user 0% verified
  • P
    Predictive Analytics and Text Mining
    Developed a regression model that predicts high-street customers' binary spend levels with 94% accuracy and 0.9 AUROC. Implemented an LSTM model in the prediction of athlete medal-winning outcomes with 100% recall and a 50% false positive rate. Explored comparable generalized additive mixed models for validation. Applied word embeddings for contextual analysis of unstructured earnings transcripts and patent data, which provided trends into technologies and areas of focus across various industries.
  • M
    MRI Tumor Analysis and Segmentation Project
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