Data Science Intern at an MNC | BTech Computer Engineering

• 📊 Building data pipelines, ML models, and extracting insights from complex datasets
• 🔬 Currently working on data modelling, statistical analysis, and predictive analytics
• 🧠 Passionate about Deep Learning, NLP, and Computer Vision

🚀 Skills at a Glance:

• Data Analysis & Visualization (Python, SQL, Power BI, Excel)
• Machine Learning & Deep Learning (Sklearn, TensorFlow, PyTorch)
• Data Engineering (PySpark, Kafka, AWS, ETL Pipelines)
• Backend Development (Java, Spring Boot, Node.js)
• Problem Solving: 250+ LeetCode problems | CodeChef 4★ | Codeforces Specialist

Data Science & ML

Data Engineering

Databases & Query

Programming & Scripting

Tools & Platforms

Backend Technologies

• Image Caption Generator - CNN-LSTM Deep Learning

  Python | TensorFlow | DenseNet201 | LSTM | Flickr8K

  Encoder-decoder architecture using pre-trained DenseNet201 for image feature extraction and LSTM network for sequential caption generation. Includes custom data generator and residual connections.

• Deep Learning Lab - DL Implementations

  Python | TensorFlow | Neural Networks | CNNs | RNNs

  Comprehensive repository of Deep Learning implementations covering neural network architectures, optimization techniques, and model training strategies.

• GreenWallet - ML-Driven Carbon Analytics

  Python | Machine Learning | Predictive Analytics

  ML-powered platform with predictive analytics for carbon footprint tracking. Features real-time data processing and trend analysis.

• HealthAI - Predictive Health Analytics

  Python | Machine Learning | Data Visualization

  Intelligent health monitoring system using ML to analyze health metrics, identify patterns, and provide data-driven wellness insights.

• IICPC Preliminaries 2025: AIR 1222 among 40,000+ participants

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