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Isha1600/README.md

👩‍💻 Isha Gupta

Data Science | Machine Learning | Applied Mathematics

🎓 M.Sc. Mathematics graduate with strong foundations in mathematical modeling, optimization, and computational methods.
💡 I leverage mathematics, statistics, and programming to build data-driven intelligent systems.
🌱 Currently strengthening expertise in Python, OOP, Data Science, and Machine Learning.
📌 Open to opportunities in Data Science, ML, AI, and Analytics roles.


🔹 Technical Skills

💻 Programming

Python • R • SQL • MATLAB • R Programming

📚 Libraries & Frameworks

NumPy • Pandas • Scikit-learn • TensorFlow • PyTorch • Matplotlib

📊 Core Competencies

  • Data Analysis & Visualization
  • Predictive Modeling
  • Optimization Techniques
  • Mathematical Modeling
  • Machine Learning

🔹 Research Experience

🏛 Research Intern – IIT Indore

  • Mathematical modeling & numerical simulations in biomedical applications
  • PDE-based heat transfer modeling in biological tissues
  • Applied computational & interdisciplinary problem-solving techniques

🔹 Featured Projects

📊 Online Retail Exploratory Data Analysis

Coursera
Exploratory data analysis of retail transaction data to identify purchasing trends and customer behavior.

🔧 Tools: Python, Pandas, Matplotlib, Seaborn
🔗 https://github.com/Isha1600/Online_Retail_EDA

🚲 Bikeshare Demand Forecasting (Time Series)

Coursera
Forecasted bikeshare demand using time series models in R to analyze usage patterns and predict future demand.

🔧 Tools: R, Time Series Modeling, Data Visualization
🔗 https://github.com/Isha1600/Bikeshare-Demand-Forecasting


📌 Gradient-Based Interval Optimization

Master’s Dissertation – JIIT
Developed an optimization framework using interval analysis and gradient-based techniques for decision-making under uncertainty.
Tools: Python, MATLAB

🔬 Biomedical Heat Transfer Modeling

Research – IIT Indore
Built PDE-based models simulating temperature distribution in biological tissues under electromagnetic exposure for hyperthermia optimization.
Tools: MATLAB

🤖 Fine-Tuning Large Language Models

DeepLearning.AI – Coursera
Implemented fine-tuning techniques for Large Language Models (LLMs) using custom datasets to improve task-specific performance.

🔧 Tools: Python, TensorFlow, PyTorch, NLP
🔗 https://github.com/Isha1600/LLM-Finetuning


🔹 Ongoing Development & Upcoming Projects

📚 Currently Strengthening

  • Object-Oriented Programming (OOP)
  • Advanced Python & Problem Solving
  • Data Science Foundations
  • Machine Learning Theory & Implementation

🚀 Upcoming Projects

  • End-to-End Machine Learning Pipeline
  • Optimization-Based ML Model
  • NLP with Transformer Models
  • Applied Mathematical Modeling in AI

🔹 Certifications

  • Machine Learning – Stanford & DeepLearning.AI
  • Python for Data Science, AI & Development – IBM
  • Power BI & SQL Essential Training – LinkedIn Learning
  • AI for Entrepreneurship – Intel & NSDC

🔹 Connect With Me

📧 Email: ig.ishagupta.16@gmail.com
🔗 LinkedIn: linkedin.com/in/isha-gupta0106
🔗 GitHub: github.com/Isha1600


“I build systems where mathematics meets intelligent computation.”

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  1. Isha1600 Isha1600 Public

    Config files for my GitHub profile. Data Science & Machine Learning Portfolio | Python • SQL • Analytics

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