AI Intern with less than a year in Python & Power BI
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B.Tech graduate in AI & Data Science with 3 internships and 4+ projects in data analytics, AI/ML, and business intelligence. Proficient in Python, SQL, Power BI, Machine Learning, data visualization, and ETL development. Delivered dashboards, predictive models, and stakeholder reports driving measurable outcomes. Seeking entry-level roles in Data Analytics, Data Science, or Business Intelligence.
College of Technology and Engineering
B.Tech · Artificial Intelligence & Data Science
September 30, 2022 – May 4, 2026
IBM SkillBuild
AI Intern
June 30, 2025 – August 30, 2025
Udaipur, Rajasthan, India
Infosys Springboard 5.0
AI Intern
September 30, 2024 – December 30, 2024
Udaipur, Rajasthan, India
MeetPilot AI — AI-Powered Meeting Intelligence Platform
January 31, 2026 – April 30, 2026
Architected a full-stack AI meeting assistant automating transcription, summarization, and action-item extraction from audio; built with React.js frontend, Flask backend, and PostgreSQL database with RESTful API integration • Integrated OpenAI Whisper for high-accuracy speech-to-text; implemented NLP pipelines covering tokenization, stopword removal, and TF-IDF vectorization for downstream text analysis • Trained ML classifiers (SVM, Logistic Regression, Naive Bayes) on QMSum, MeetingBank, and AMI datasets for action item detection; evaluated with Accuracy, Precision, Recall, and F1-Score • Implemented LLaMA-based LLM workflows to generate structured meeting summaries, key decisions, and action items for improved meeting intelligence and productivity
E-Commerce Funnel Drop Analysis — Conversion Rate Optimization
December 31, 2025 – January 31, 2026
Analyzed end-to-end sales funnel (Home to Product to Cart to Checkout) across 50,000+ user sessions; pinpointed Product to Cart as critical bottleneck with 60% user drop-off via cohort analysis and device segmentation • Applied hypothesis testing to validate conversion rate differences across traffic sources; delivered actionable UX and CTA recommendations projected to lift conversion by 20%
SmartStack AI — Full-Stack SaaS AI Platform
October 31, 2025 – December 31, 2025
Built a full-stack MERN SaaS platform with 6 AI-powered tools (Text Summarizer, Code Explainer, AI Chat, Article Generator, Resume Analyzer, Image Generator) using React frontend and backend with JWT authentication
View ProjectCryptocurrency Trader Behavior vs Market Sentiment Analysis
August 31, 2025 – October 3, 2025
Analyzed Hyperliquid trader data correlated with Bitcoin Fear & Greed Index; engineered 10+ features (PnL, leverage, win/loss ratio, trade frequency) and applied PCA + K-Means clustering (K=5, silhouette-optimized) to segment traders into 5 behavioral profiles • Identified emotion-resilient trader clusters with consistent PnL across market sentiment regimes; delivered structured analytical report with cluster visualizations and sentiment correlation analysis
View ProjectCultural Fit Analysis
The candidate's diverse project portfolio, including personal projects and internships, showcases a strong initiative and passion for AI and data science. Their involvement in projects like 'AquaBot' (aligned with UN SDG 6) suggests an awareness of broader societal impact, which can be a positive cultural fit. The breadth of skills across AI, ML, data analytics, and full-stack development indicates a versatile individual who can adapt to various technical challenges and potentially collaborate across different teams. The target role of 'AI Intern' aligns well with their current experience level and career trajectory.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through project work (e.g., identifying e-commerce funnel bottlenecks, segmenting trader behavior). Their experience in presenting model evaluations and stakeholder reports indicates good communication and analytical reporting abilities. The diverse project portfolio suggests adaptability and a proactive learning attitude. The internships at IBM SkillBuild and Infosys Springboard indicate an ability to work in structured environments and contribute to team projects.