About
Highly analytical and results-driven B.Tech student in Computer Science and Engineering with a strong foundation in Python, SQL, Machine Learning, and Business Intelligence. Proven ability to develop data-driven solutions, optimize processes, and deliver actionable insights, as demonstrated by achieving a 92% accuracy in fake news detection and reducing forecast errors by 25% in market analysis. Eager to apply advanced analytical and technical skills in a challenging Data Science, Machine Learning, or Business Intelligence role.
Work
Bhopal, Madhya Pradesh, India
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Summary
Led the development of an AI-powered fake news detection system, integrating advanced NLP and UI/UX features to enhance content credibility and user experience.
Highlights
Engineered a real-time fake news detection system using Python, logistic regression, and Natural Language Processing (NLP) techniques, achieving a 92% classification accuracy for misinformation.
Improved content credibility assessment by processing user-submitted articles and text inputs, ensuring reliable information dissemination.
Designed and implemented an intuitive, responsive user interface with Streamlit, incorporating auto-refresh, dark mode, and minimalistic design to enhance accessibility and user engagement for diverse users.
Utilized Python, Streamlit, Scikit-learn, and NLP to build a robust and user-friendly analytical solution.
Bhopal, Madhya Pradesh, India
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Summary
Developed a comprehensive Power BI dashboard and performed in-depth time-series analysis to provide actionable insights for a 5-star hotel, significantly reducing forecast errors.
Highlights
Designed and implemented a comprehensive Power BI dashboard, integrating over 100 data metrics to diagnose declining market share for a fictional 5-star hotel chain.
Optimized Key Performance Indicators (KPIs), including RevPAR, ADR, and Occupancy, to pinpoint 7 critical underperforming areas, guiding strategic adjustments.
Leveraged advanced DAX and robust data modeling techniques to deliver actionable insights, successfully reducing forecast errors by 25%.
Conducted time-series analysis of occupancy and revenue trends across seasonal periods, enabling management to implement targeted pricing strategies that boosted peak-season bookings and improved off-season revenue stability.
Bhopal, Madhya Pradesh, India
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Summary
Performed comprehensive sales analysis on a large dataset, leveraging SQL and BI tools to identify critical revenue trends and optimize strategic planning.
Highlights
Executed detailed sales analysis on a dataset of over 50,000 pizza orders, identifying peak hours, top-selling items, and critical revenue trends to inform business strategy.
Engineered complex SQL queries utilizing joins, aggregations, and subqueries to identify 15% increase opportunities in sales and optimize inventory management.
Translated complex data into clear, actionable business insights through Excel and Power BI visualizations, enhancing strategic planning for marketing campaigns by 20%.
Education
VIT Bhopal University
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B.Tech
Computer Science and Engineering
Indian Public School
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High School Diploma
Grade XII (CBSE)
Awards
Lam Research Challenge - Round 2 Advancement
Awarded By
Lam Research
Recognized among the top 10% of participants for advancing to Round 2 of the prestigious Lam Research Challenge, demonstrating strong problem-solving and technical aptitude.
Code Clash 2025 - Top Ranking
Awarded By
Let's Code Community
Achieved a top 15% ranking (294 out of 2000+ participants) in the competitive Code Clash 2025 by Let's Code Community, showcasing exceptional coding and algorithmic skills.
Nokia 'Accelerate Her in Tech' Hackathon - Round 2 Advancement
Awarded By
Nokia
Progressed to Round 2 in the Nokia 'Accelerate Her in Tech' Hackathon, demonstrating innovative problem-solving and rapid prototyping abilities.
Languages
English
Skills
Programming Languages
Python, C++, SQL, HTML, CSS, JavaScript.
Data Analysis & Business Intelligence
Power BI, MS Excel, Google Colab, Data Modeling, Statistical Analysis, Time Series Analysis, KPI Optimization, Market Research, DAX.
Machine Learning & AI
Scikit-learn, Natural Language Processing (NLP), Logistic Regression, Fake News Detection, Predictive Analytics.
Database Management
MySQL, Query Optimization, Database Design, Complex SQL Queries, Data Extraction.
Data Visualization
Power BI, Matplotlib, Seaborn, Excel Visualizations, Streamlit UI.
Tools & Frameworks
Git, Pandas, NumPy, Streamlit.