KARN CHAUDHARY
AI/ML Developer | Data Scientist | Python Specialist
Mathura, Uttar Pradesh | +91-7078117810 | karnchaudhary18@gmail.com
LinkedIn: linkedin.com/in/karn-chaudhary | GitHub: github.com/karn-chaudhary
Professional Summary

Results-oriented AI/ML Developer with proven expertise in building production-ready machine learning models achieving 85-96% accuracy. Demonstrated success across 6+ technical internships, specializing in end-to-end ML pipeline development, predictive analytics, and data visualization. Proficient in Python, TensorFlow, and modern ML frameworks with strong foundation in algorithm optimization and model deployment. Track record of delivering data-driven solutions that improve operational efficiency and drive strategic decision-making.

Education
Bachelor of Computer Application (BCA) - AI & Machine Learning
Sanskriti University, Mathura, India
July 2023 - May 2026
Relevant Coursework: Machine Learning, Deep Learning, Data Structures & Algorithms, Database Management Systems, Python Programming, Java, Web Technologies, Artificial neural network, Natural language processing
Technical Skills
Programming:
Python, Java, C, SQL
ML/AI Frameworks:
TensorFlow, Keras, PyTorch, Scikit-learn, OpenCV, NLP Libraries
Data Analysis:
Pandas, NumPy, Matplotlib, Seaborn,
Visualization:
Tableau, Power BI, Excel, Interactive Dashboards
Tools & Platforms:
Streamlit, Google Colab, GitHub, Jupyter Notebook, DBMS, Git Version Control
Core Competencies:
Machine Learning, Deep Learning, Predictive Modeling, Data Mining, Model Deployment, Hyperparameter Tuning
Professional Experience
AI Powered Data Insight Intern
Aug 2025 - Sep 2025
RIT by Excelerate
  • Engineered AI-driven data analysis pipelines processing complex datasets, extracting actionable business insights that improved decision-making efficiency by 30%
  • Implemented predictive analytics models using advanced ML algorithms to forecast trends and optimize resource allocation
  • Collaborated with cross-functional teams to translate business requirements into technical solutions
AI & Data Analytics Intern
Jun 2025 - Jul 2025
Edunet Foundation
  • Analyzed large-scale greenhouse emissions datasets with 100,000+ records, building predictive models using Random Forest and XGBoost algorithms
  • Designed interactive dashboards with Tableau to visualize environmental trends, enabling stakeholder-driven policy decisions
  • Performed comprehensive data cleaning, feature engineering, and statistical analysis to ensure model accuracy
AI & Machine Learning Intern
May 2025 - Jun 2025
Elevate Labs
  • Developed and optimized ML models for classification and regression achieving 85%+ accuracy through hyperparameter tuning and cross-validation
  • Built complete ML pipelines including data preprocessing, feature selection, model training, and deployment using Python and Scikit-learn
  • Implemented model evaluation frameworks using precision, recall, F1-score, and ROC-AUC metrics
Data Visualization Intern
May 2025 - Jun 2025
Saint Louis University by Excelerate
  • Created dynamic business intelligence dashboards using Tableau and Power BI, translating complex datasets into actionable visual insights
  • Collaborated with business analysts to identify KPIs and design data-driven reporting solutions
Python Development Intern
May 2024 - Jul 2024
Hunar Intern
  • Developed Python applications including game logic systems and CAPTCHA generator, strengthening OOP and algorithm design skills
  • Implemented efficient data structures and algorithms for string manipulation and randomization tasks
Key Projects
Human Emotion Detection from Voice | Python, Librosa, Scikit-learn, Streamlit
  • Built end-to-end speech emotion recognition system classifying 7 emotions with 85%+ accuracy using MFCC feature extraction
  • Trained ensemble models combining SVM, Random Forest, and Neural Networks for robust emotion classification
  • Deployed production-ready web application with Streamlit enabling real-time audio analysis and prediction
Email Spam Detection System | Python, NLP, Machine Learning
  • Developed NLP-based spam classifier achieving 96% accuracy using Naive Bayes, Random Forest, and TF-IDF vectorization
  • Implemented text preprocessing pipeline including tokenization, stemming, and stop-word removal for optimal feature extraction
  • Performed hyperparameter optimization using GridSearchCV to maximize model performance
YouTube Trending Analytics & Shark Tank Investment Dashboard | Tableau, Power BI, Python
  • Analyzed 50,000+ YouTube trending videos using Pandas, identifying engagement patterns and content strategy insights
  • Built comprehensive Shark Tank investment dashboard analyzing 500+ deals, funding trends, and success rate metrics
  • Implemented data aggregation and statistical analysis to derive actionable business intelligence
Certifications
AI Powered Data Insights - RIT by Excelerate
Prompt Engineering - RIT by Excelerate
AI & Machine Learning - Elevate Labs
Data Analysis - Elevate Labs
AI & Data Analytics - Edunet Foundation
Python Development - Hunar Intern
Data Visualization - Saint Louis University
Project Management Associate - Saint Louis University