Bhavya

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  The-Committee-Will-Look-Into-It

  Multi-domain EDA and data storytelling project analyzing institutional accountability in India across 5 modules — NLP, time-series, and statistical analysis on government-published datasets (NCRB, SBI/ECI, ADR). Python | Pandas | Matplotlib | Seaborn. In Progress.

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  Autonomous-Lead-Enrichment-Agent

  A Python-based autonomous agent or pipeline that takes target company domains as input, crawls and parses their public web presence, and outputs structured intelligence using Gemini Flash 3.6.

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  Heart-Failure-Prediction

  Heart failure prediction using Logistic Regression, Random Forest & SVC with cross-validation to classify patient survival from clinical records.

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  Message-Spam-Filtering

  Classifying SMS messages as spam or ham using TF-IDF vectorization and a Multinomial Naive Bayes model, with confusion matrix evaluation and support for batch predictions on custom text files.

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  Resume-Screening--Classification

  A structured NLP project that classifies resumes into 25 job categories using TF‑IDF features and Linear SVM, with a full pipeline from cleaning and EDA to model comparison, tuning, and reproducible evaluation.

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  AirBnb-Rental-Price-Prediction

  Predicting Airbnb rental prices in New York City from listing features using Linear Regression and Random Forest Regressor, with outlier removal, cross-validation, and GridSearchCV hyperparameter tuning.

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  Customer-Churn

  Customer churn prediction using Logistic Regression with cross-validation, class balancing, and StandardScaler feature normalization.

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  Automated-AI-Chatbot

  AI-powered Automated chatbot using PyAutoGUI, Groq (LLaMA 3.3), and subprocess. Features include- automated chat monitoring, sender detection, LLM-generated personality-based replies, and autonomous message dispatch.

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  Barbie--Virtual-AI-Assistant

  Voice-activated Python assistant- Barbie, using Groq (Llama 3.3), NewsAPI, and PyWhatKit. Features wake-word detection, automated YouTube playback, and real-time news fetching.

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  Restaurant-Revenue-Prediction

  Predicting annual restaurant revenue from metadata and 37 obfuscated numeric features using seven regression models, with cross-validation, feature engineering, and GridSearchCV hyperparameter tuning on a deliberately small Kaggle dataset (137 rows).

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  Autonomous Lead Enrichment Agent

  Built an autonomous B2B lead-enrichment agent that crawls company domains with a headless browser and extracts structured firmographic data via Gemini Flash, validated with Pydantic schemas. Features async scraping with asyncio.Semaphore concurrency control, temperature=0.0, per-record confidence scores, and a success/partial/failed error taxonomy; tested on 3 sites (0.85-0.95 confidence) with an argparse CLI.
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  The Committee Will Look Into It

  Building a 5-thread data journalism project on Indian institutional accountability (3 complete), using hand-built datasets, NCRB data, and RTI-sourced documents; found 110 exam-paper leaks led to only 8 convictions, with an 8.5-year average time to justice. Analysed 22 years of NCRB data on crimes against women and 99 internet shutdowns (Sep 2024-Jul 2026): showed a 21.3% national conviction rate can hide 98% case pendency (Bihar), and that 64% of shutdowns were preventive, with no triggering event.
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  Message Spam Filtering

  Built and deployed an NLP classifier on 5,572 SMS messages; switched from MultinomialNB to ComplementNB to address 87/13 class imbalance, improving spam recall from 72% to 89% at 97.4% test accuracy. Engineered bigram TF-IDF features (ngram_range=(1,2)) to capture phrase-level spam patterns missed by unigrams; applied stratified train/test split with full-data refit before deployment.

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  Customer Churn Prediction

  Built classification pipeline on telecom churn data; benchmarked Logistic Regression, Random Forest, and SVM under K-Fold CV with 80/20 class imbalance handled via class_weight='balanced' on Logistic Regression. Benchmarked best model at 81% churn recall vs 0% for a naive majority-class baseline scoring 83% accuracy — framed recall, not accuracy, as the metric that actually matters for retention decisions.
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  Barbie – Voice-Activated AI Assistant

  Built real-time voice AI pipeline bridging Google Speech Recognition (ASR) → Groq LLaMA 3.3 70B inference → gTTS/Pygame audio output, achieving sub-3s round-trip interaction latency with autonomous web control. Integrated live NewsAPI headlines, YouTube playback, and custom prompts for a distinct AI personality with modular, extensible skill design.
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  Data Science Intern @ Zappify

  Built end-to-end data science workflows including data preprocessing, exploratory data analysis (EDA), and visualization using Python, Pandas, and Seaborn. Implemented and evaluated machine learning models using Scikit-learn with standard classification metrics including accuracy, precision, recall, and F1-score.
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  Creative Head @ The Empirical Society

  Led a team of 10 designers for college technical events, improving social media engagement by ~35% while coordinating end-to-end design workflows across events, marketing, and editorial teams.
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  GenAI-Powered Data Analytics (Tata iQ) Virtual Intern @ Tata Group / Forage

  Conceptualized an AI-driven credit risk model and collections strategy using GenAI for EDA, predictive risk modeling, and agentic automation.
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  Data Visualization (TCS) Virtual Intern @ Tata Group / Forage

  Designed executive-level visual reports and strategic meeting frameworks for TCS leadership to drive client decision-making.
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  Developer @ HackQube

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  Graphic Designer @ HackQube

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  Brand & Creative Strategy Lead @ InternQuora

  Leading brand and creative strategy at InternQuora, a student-led initiative bridging undergraduate talent with industry opportunities. -> Building and owning InternQuora's visual identity, brand voice, and creative direction from the ground up. -> Designing and producing social media content, promotional graphics, and campaign material for student- and company-facing outreach. -> Shaping how the initiative presents itself to students, companies, and industry professionals across platforms.
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  Creative Head @ The Empirical Society

  Led a team of 10 designers overseeing visual design and communication strategy for college technical events. Coordinated end-to-end design workflows across events, marketing, and editorial teams, ensuring cohesive, timely creative delivery.
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  Graphic Designer @ The Empirical Society

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  Design Team Member @ Wordsmith

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  Content Team Member @ CodeGeeks

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  Data Science Intern @ Zappify

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  Data Visualisation: Empowering Business with Effective Insights

  Certification