Human Resources Power Bi

Gazi Saif Uddin

Houston, TX ***** • *********@*****.*** • LinkedIn: gazisaifuddin

Data Reporting & Analytics Consultant Data Scientist

Core Competencies: SQL, Tableau, Power BI, Python, PySpark, Data Visualization, Forecasting, Business Intelligence, Cloud Platforms (GCP, Azure)

Professional Summary

Data Reporting & Analytics Consultant with 6+ years of experience delivering predictive models, interactive dashboards, and data-driven solutions across the energy, utility, and engineering sectors. Proven success in translating complex data into actionable insights, enabling strategic business decisions, and partnering with stakeholders to improve operations. Proficient in SQL, Tableau, Power BI, Python, and PySpark with strong communication and consulting skills.

Professional Experience

Data Analyst CenterPoint Energy (via The Select Group), Houston, TX

Nov 2024 – Jul 2025

Supported digital transformation projects by cleansing data and integrating large-scale datasets into GCP, improving efficiency of analytics workflows.

Developed outage prediction and capacity models incorporating weather-based features, enhancing grid reliability.

Built Tableau and Power BI dashboards used by 25+ stakeholders for decision-making on electric distribution systems.

Partnered with engineers and managers to present predictive insights that improved reliability and planning.

Tools: Pandas, NumPy, Scikit-Learn, SQL, Cyme, Carto, GCP, Power BI, Tableau.

Freelance Data Scientist New Neptune Technology, Houston, TX

Jan 2024 – Oct 2024

Conducted EDA on financial data, supporting executives with profitability and revenue insights.

Designed ML models for sales forecasting and pricing optimization, improving forecast accuracy by 18%.

Delivered Power BI dashboards connected to SQL, providing real-time visibility into gross margin and net income.

Presented financial reports that identified cost-saving opportunities worth 12% of operating expenses.

Tools: SQL, Python, Power BI, Tableau.

Data Scientist Consolidated Edison

Aug 2022 – May 2024

Increased pipeline leakage detection accuracy by 33% using Random Forest and Logistic Regression.

Built scalable risk assessment pipelines in PySpark and SQL, boosting prediction precision by 20%.

Automated defect detection via image analysis, reducing manual review time by 40%.

Created Tableau/Power BI dashboards for executives, improving operational decision-making by 25%.

Tools: Python, SQL, Tableau, Power BI.

Project Data Scientist / Data Analyst Kenall Geo

Mar 2022 – Jul 2022

Predicted soil instability with ML, reducing project delays by 15%.

Applied computer vision for geotechnical classification, increasing efficiency by 30%.

Built real-time Power BI dashboards for project monitoring, improving reporting efficiency by 20%.

Tools: Python, SQL, Power BI, Tableau.

Associate Data Analyst / Graduate Student University of Houston Downtown

Aug 2019 – Dec 2021

Developed a life expectancy prediction model with 90% accuracy.

Built an inventory classification system reducing costs by 25%.

Conducted audio feature extraction workflows for telehealth ML use cases.

Tools: Python, R, Power BI, Tableau.

Geo Data Analyst Geotest Engineering Inc

Jun 2015 – Jan 2020

Analyzed geotechnical project data using SQL and Tableau, improving reporting timelines.

Delivered reports and presentations to engineers and stakeholders, ensuring alignment with project goals.

Geologist Bangladesh Petroleum Exploration & Production Company Limited (BAPEX)

Jun 2011 – Jun 2015

Interpreted geological and geophysical data to support exploration projects for oil and gas industry.

Conducted reservoir characterization and subsurface mapping, improving drilling strategy outcomes.

Key Projects

Electric grid capacity forecasting & reliability modeling (CenterPoint Energy).

Pipeline leakage prediction with PySpark & Random Forest.

Steam distribution risk analysis improving asset planning.

Customer segmentation project boosting marketing ROI by 15%.

Image-based leakage prediction using TensorFlow for automation.

Technical Skills

Languages: Python (NumPy, Pandas, scikit-learn, TensorFlow), SQL, R

Big Data & Engineering: PySpark, Apache Spark

Visualization: Tableau, Power BI, Spotfire

Machine Learning: Classification, Regression, Deep Learning, NLP

Cloud Platforms: Google Cloud Platform, Azure ML Services

Tools: Flask, A/B Testing, Model Deployment, CI/CD

Soft Skills: Communication, Stakeholder Engagement, Problem Solving, Analytical Thinking

Education

M.S. in Data Analytics, University of Houston Downtown, 2021

MBA in Finance, American International University, 2010

M.S. in Geology (Geophysics), Jahangirnagar University, 2003

B.S. in Geology, Jahangirnagar University, 2002

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