Girish Pathak girishpathakk

Hi there, I'm Girish Pathak!

👤 About Me 💻

class GirishPathak:
    def __init__(self):
        self.name = "Girish Pathak"
        self.role = "Data Analyst | Ex-Chegg Inc. |
        self.location = "Delhi, India 🇮🇳"
        self.experience = "6+ Years | EdTech · Operations · Content Analytics"
        self.current_goal = "Seeking Remote/Hybrid Data Analyst Role"

        self.skills = [
            "Python",
            "SQL",
            "Power BI",
            "Advanced Excel",
            "Data Analytics",
            "NumPy",
            "Pandas",
            "Matplotlib",
            "Seaborn"
            "Machine Learning",
        ]

    def goal(self):
        return "Building AI-powered solutions and solving real-world business problems using data."

me = GirishPathak()
print(me.goal())

📫 Email: girish.pathak.ds@gmail.com

🔗 LinkedIn: https://linkedin.com/in/girishpathakk

💻 GitHub: https://github.com/girishpathakk

📁 Featured Projects

#	Project	Domain	Tools
01	OTT Subscriber Churn Analysis	Data Analytics	Python · Pandas · SQLite · Matplotlib
02	Customer Shopping Behavior Analysis	Data Analytics	Python · Pandas · SQL · EDA
03	E-Commerce Sales Analytics	Excel Analytics	Advanced Excel · Power Query · Pivot
04	Creditwise Loan Approval Prediction	Machine Learning	Python · Scikit-learn · Classification

💼 All projects include: Business Problem → EDA → Insights → Recommendations

🔭 Currently Building & Learning

🛠️ Building

🤖 End-to-end ML pipelines — Regression, Classification with model evaluation (Confusion Matrix, ROC-AUC)
📊 Data Analytics dashboards with Power BI
📈 End-to-end business insight projects from real-world datasets
🧠 Deep Learning models using TensorFlow/Keras (ANN, CNN basics)

🌱 Learning & Exploring

🤖 Large Language Models (LLMs) — Intro course + Prompt Engineering
🧠 Deep Learning — ANNs, CNNs, RNNs (TensorFlow/Keras)
💬 Natural Language Processing (NLP) through NPTEL
Cloud Computing for ML — Azure/GCP
📚 Data Science, Statistics & Model Evaluation Techniques

🛠️ Tech Stack

Category	Tools & Technologies
👨‍💻 Programming Languages
🗄️ Databases
📊 Data Visualization & BI
📦 Data Science Libraries
📈 Analytics & Reporting
🤖 Machine Learning
🔧 MLOps & Tools
☁️ Cloud & DevOps
🌱 Currently Learning