Data Analyst
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Data Analyst with expertise in SQL, Python, and Power BI, blending analytics with automation to deliver scalable insights. Founder of DashFlow, a SaaS platform for automated dashboards. Experienced in data cleaning, visualization, and predictive modeling, with a focus on driving business performance through data-driven solutions.
Data Analyst Internship – Stypix (Jun 2024 – Aug 2024) Conducted quantitative research and built analytical models to support strategic decision-making. Translated business requirements into actionable insights, improving operational efficiency and enabling data-driven decisions.
Founder & Developer – DashFlow (2025 – Present) Designed and launched a SaaS platform for automated dashboards with multi-tenant architecture. Implemented data cleaning workflows, AI-powered insights (Gemini API), and one-click reporting exports to streamline analytics for clients.
AI Insight Chatbot Project (2025) Built a conversational AI chatbot integrated with n8n workflows to deliver real-time insights from structured and unstructured data. Automated pipelines for data cleaning and reporting, showcasing expertise in AI + automation for business intelligence.
Customer Segmentation & Recommendation (2025) Developed clustering models in Python (KMeans) to segment customers, applied the Elbow Method for optimization, and visualized spending patterns. Delivered predictive functions for targeted promotions and engagement strategies.
Ecommerce Sales Analysis (2024) Created interactive Power BI dashboards to track sales performance, revenue trends, and customer behavior. Automated data refreshes and improved reporting efficiency.
Customer Churn Analysis (2025) Applied SQL + Tableau to analyze churn patterns, automate reporting pipelines, and deliver actionable insights for retention strategies.
Bachelor of Engineering in Information Technology – Monark University (2025–Present) Currently pursuing advanced coursework in IT with a focus on data analytics, programming, and business intelligence. Building strong foundations in SQL, Python, and visualization tools to support data-driven decision-making.
Diploma in Information Technology – R.C. Technical Institute (2022–2025) Graduated with an 8.58 GPA, gaining practical skills in software development, database management, and applied analytics. This program provided the technical base for your transition into data analysis and automation projects.
