About
Data Analyst with hands-on experience in SQL, Python, Power BI, Tableau, and Advanced Excel. Experienced in data cleaning, exploratory data analysis, dashboarding, and translating ambiguous requirements into stakeholder-ready insights.
Experience
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Data Science (GenAI) InternInnomatics Research LabsNov 2025 – May 2026
Education
- 2025
Skills
Tools / apps / platforms
Projects
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Worldwide Energy Consumption AnalysisSQL
Analyzed multi-country energy data covering GDP, production, consumption, emissions, and per-capita metrics across multiple years and geographies.
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Amazon Review Sentiment ClassificationTensorFlow, Keras, RNN, LSTM, BiLSTM
Built and trained three RNN architectures to classify customer sentiment from product-review text, with oversampling, evaluation, and a Streamlit deployment.
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AI-Powered Resume Screening SystemLangChain, Python
Built a structured-scoring pipeline for extracting, matching, scoring, and explaining resume-job fit with validation and offline testing.
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Brain Tumor Detection & ClassificationPython, CNN
Built a CNN to classify brain tumor types from MRI scans, covering preprocessing, training, prediction, and performance evaluation.
Courses & certifications
- McKinsey Forward Program · McKinsey & Company
- Certificate of Excellence in Power BI · Innomatics Research Labs
🎯 Hobbies & interests
- Stock Market Analysis
- Back testing strategies
- Cosmology