Hallo!
I'm Mohammad Faizal Shaikh
About Me
Get in touch with me
With a passion for turning complex data into clear insights, I help organizations leverage data to drive smarter strategies. My work spans predictive modeling, visualization, reporting automation, and customer analytics — powered by Python, SQL, R, Tableau, and Power BI.
Vision
To bridge the gap between data and decision-making, empowering organizations with transparency and clarity through advanced analytics and machine learning.
Mission
Deliver data solutions that not only meet business goals but also foster a culture of data-driven thinking and innovation.
My Skills
Data Analysis and Visualization
Expert in uncovering trends through statistical analysis and creating visual dashboards in Tableau, Power BI, and R to support executive decision-making.
Machine Learning Model Development
Designed classification and regression models to forecast outcomes like customer churn and service demand using Python, R, and advanced SQL.
Predictive Analytics and Forecasting
Applied time-series forecasting, logistic regression, and trend modeling to anticipate user behavior, optimize resource allocation, and reduce churn rates.
Statistical Modeling
Applied logistic regression, time-series forecasting, and multivariate analysis to solve business problems like churn prediction and demand forecasting with measurable impact.
Business Intelligence Tools
Built executive dashboards using Power BI and Tableau, enabling real-time insights and reducing reporting time by 35% through automation and centralized access.
ETL and Data Management
Experienced in SQL Server, PostgreSQL, and Alteryx for ETL workflows, data cleansing, and integrating disparate data sources to build consistent, analytics-ready datasets.
Elementor
Statistical Analysis
2021 - Present
Novotoc Infotech Pvt. Ltd (KEEV)
Marketing Campaign Manager
October 2020 – November 2021
Digimaze Marketing
Junior Data Analyst
November 2021 – May 2022
Yonge Street Mission (YSM.ca)
Data Analyst Intern
September 2023 – April 2024
My Experiences
Let's Work Together
Recent Projects
Predictive Modeling for US Health Insurance Premium Costs
Remote
January 2023 – March 2023
Engineered a regression pipeline using Python, achieving an R² score of 0.75. Conducted exploratory data analysis and multivariable plotting to identify the top 6 predictors influencing insurance premium costs. Helped uncover cost-saving opportunities through detailed model interpretation and visualization.
Customer Churn Analysis and Prediction Model
Remote
March 2023 – May 2023
Built a logistic regression-based churn prediction model using customer data. Reduced churn rate by 15% through targeted scoring. Utilized Salesforce visualizations to identify and eliminate retention bottlenecks, resulting in a 20% increase in customer satisfaction and loyalty metrics.
Impact and Sentiment Analysis of ‘The Apple in the Orchard’
Remote
May 2023 - Present
Led the development of a sentiment analysis pipeline using Python and NLP techniques. Improved classification accuracy by 31% through automated labeling and clustering. Extracted 9 key sentiment groups from over 6,000 text records using unsupervised learning, delivering insights to enhance stakeholder understanding of audience feedback.