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Data with less than a year in Python, SQL, and Power BI for actionable business insights.
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Assessing your cultural and operational fit
MCA graduate with a strong technical foundation in Python, SQL, and Power BI. Seeking an entry-level position to apply my passion for transforming raw data into actionable business insights. Seeking to leverage analytical skills and a problem-solving mindset to contribute to data-driven decision-making within a professional team.
Graphic Era Hill University
Master of Computer Applications
August 1, 2023 – June 30, 2025
IHMS-HNBGU
Bachelor of Computer Applications
August 1, 2020 – June 30, 2023
Predictive Supply Chain Risk Analysis
June 20, 2026 – Present
Processed 180K+ records in Python, engineering time-based features and resolving encoding issues with zero data leakage. Engineered an XGBoost classification model to predict late deliveries, isolating 17,700 high-risk pending orders with a >90% delay probability. Built a 3-page interactive Power BI dashboard featuring a 'Predictive Action Center', tracking a 57.28% overall system risk and an average 2-day delay. Identified critical bottlenecks: 'Standard Class' shipping (2.4 days over SLA) and LATAM/Africa regions (60%+ late rate), enabling data-driven logistics renegotiation.
View ProjectTelecom Customer Churn Analysis
June 20, 2026 – Present
Cleaned and analyzed 7,043 records using SQL to ensure strict data integrity for executive reporting. Developed a clean, corporate-grade Power BI dashboard to present executive-level customer retention insights without visual clutter. Formulated complex DAX measures to highlight a 26.54% overall churn rate and quantify potential revenue risk. Segmented demographic and service data to map key churn drivers (e.g., month-to-month contracts), enabling targeted retention strategies.
View ProjectDeloitte Data Analytics Job Simulation
Forage
June 1, 2026 – Present
Generative AI Fundamentals
Google Cloud
June 1, 2026 – Present
Python for Data Science
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying data analytics skills. The certifications in Deloitte Data Analytics Job Simulation and Generative AI Fundamentals show an interest in continuous learning and staying updated with industry trends. The projects are diverse enough to indicate adaptability to different business problems. However, the lack of professional experience limits the assessment of cultural fit in a team environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a problem-solving mindset and an ability to translate raw data into actionable business insights. The focus on executive reporting and identifying critical bottlenecks suggests an understanding of operational impact. However, without direct work experience, it's difficult to fully assess stress handling, team collaboration, or communication clarity in a professional setting.