Gulamali Khorajiya
@gulamalikhorajiya
I build automated data pipelines, predictive models, and Power BI dashboards for business decisions.
What I'm looking for
I've built end-to-end analytics solutions for customer churn and retail inventory, combining Python ETL pipelines, predictive modeling, and interactive Power BI and Streamlit dashboards.
During my Data & AI Analyst internship with Microsoft Elevate (GTU Collaboration), I worked with cloud-based database systems, automation, Azure data infrastructure, Power BI analytics, telemetry, and unified reporting pipelines. At Sparks To Ideas, I cleaned and engineered complex datasets, performed exploratory data analysis, and trained classification and regression models with Pandas, NumPy, and Scikit-learn.
My computer engineering background supports my focus on turning raw enterprise data into actionable business insights through SQL, Python, data preprocessing, time-series analysis, and visualization.
Experience
Work history, roles, and key accomplishments
Data & AI Analyst Intern
Microsoft Elevate
Jan 2026 - Apr 2026 (3 months)
Selected for a competitive 360-hour structured research initiative focused on cloud-based database systems, system automation, and Microsoft Azure data infrastructures. Managed cloud-based storage telemetry and integrated predictive modeling metrics into unified business reporting pipelines.
AI/ML Intern
Sparks To Ideas
Feb 2025 - Mar 2025 (1 month)
Executed data cleaning, missing value treatments, and structural feature engineering across complex analytical datasets using Pandas and NumPy workflows. Conducted deep exploratory data analysis and trained machine learning classification and regression models using Scikit-learn.
Education
Degrees, certifications, and relevant coursework
Pacific School Of Engineering, Gujarat Technological University (GTU)
Bachelor of Engineering, Computer Engineering
2022 - 2026
Grade: CPI 7.88, CGPA 8.40
Pursuing a Bachelor of Engineering in Computer Engineering with a CPI of 7.88 and CGPA of 8.40.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/Gulamali86Salary expectations
Job categories
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