About
2025 Bachelor's degree graduate (Electronics and Communication Engineering) with less than 1 year of experience, and hands-on project experience in data analytics — SQL programming, data cleaning, exploratory data analysis, and statistical analysis (probability, hypothesis testing, correlation analysis) — backed by strong data visualization skills (Power BI, Matplotlib, Seaborn) and working familiarity with Google Workspace tools (Docs, Sheets, Gmail). Built and deployed an AI-powered data analyst application automating data cleaning, EDA, and natural-language-to-SQL querying end-to-end. Comfortable working independently and within a team, navigating ambiguous tasks, and communicating data-driven insights clearly to both technical and non-technical audiences. Fluent in English.
Skills & Expertise (41)
Work Experience
Developer
AI Data Analyst Demo
Present - Present
Built an AI-powered data analyst app automating a full data-cleaning workflow, with natural-language data querying. Built an LLM-driven cleaning advisor that recommends and executes missing value treatment, outlier handling, and column removal. Implemented automatic EDA summary generation, ML readiness assessment, and dataset quality reporting. Converted natural language questions into SQL queries for analytical data exploration, with automatic chart generation. Validated generated insights against SQL query results and source datasets using benchmark business questions.
Developer
AI-Powered Founder BI Agent (Monday.com Integration) Demo
Present - Present
Built a conversational Business Intelligence chatbot answering operational queries using live Monday.com data, integrated via GraphQL. Built automated ETL workflows for data ingestion, normalization, and analytical computation. Implemented natural language query interpretation for business metric analysis, with transparent tool/API call tracing for explainability. Automated recurring operational reporting, reducing manual query effort for business metric tracking. Deployed publicly on Streamlit Cloud.
Developer
Sensitive Data Detection & Compliance Assistant Demo
Present - Present
Built an AI-powered document compliance chatbot supporting PDF, TXT, and CSV uploads for automated sensitive data detection. Combined Regex-based structured entity detection with Groq LLM for compliance analysis, risk assessment, and remediation recommendations. Built a RAG pipeline using LangChain, Hugging Face embeddings, and FAISS for natural-language Q&A over uploaded documents. Designed the full document workflow: text extraction, chunking, embedding generation, semantic retrieval, and context-aware LLM responses. Deployed on Streamlit Cloud with an interactive interface for compliance reporting. Validated sensitive entity detection using labeled sample documents containing PAN, Aadhaar, email, phone numbers, API keys, and credit card information.
Developer
Brain Tumor Detection Using Transfer Learning Demo
Present - Present
Applied transfer learning with MobileNetV2 (pretrained on ImageNet) on MRI scans, handling class imbalance with image augmentation. Achieved 95% training accuracy, 92% validation accuracy, 86% test accuracy; evaluated with precision, recall, F1-score, confusion matrix. Built a Flask REST API and deployed the model on Hugging Face for real-time inference.
Education
Bachelor of Engineering in Electronics and Communication - St. Joseph College Of Engineering And Technology Palai
2021 - 2025 · Afghanistan
Higher Secondary - St. Ephrem's HSS Mananam
2019 - 2021 · Afghanistan
Certifications
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Open to Relocation
Skills (41)
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