ARPITT PANDEY

Data Scientist & ML Engineer | Building intelligent systems that turn data into insight | Skilled in Python, ML, Deep Learning, NLP, MLOps & deployment | Passionate about solving real-world problems with scalable, production-ready AI solutions

👋 About Me

I’m a Data Scientist with a passion for transforming data into actionable intelligence.
My expertise lies in Machine Learning, Deep Learning, and Statistical Modeling, with hands-on experience in building end-to-end data pipelines, predictive models, and deployed AI applications.

I love working at the intersection of data, code, and business impact — whether it’s forecasting demand, detecting anomalies, or designing NLP models that understand human language.

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🧠 What I Do

• Data Science & Analytics: EDA, feature engineering, hypothesis testing, and visualization
• Machine Learning: Regression, classification, clustering, and model tuning
• Deep Learning: CNNs, LSTMs, Transformers (BERT, GPT)
• MLOps & Deployment: MLflow, Docker, FastAPI, Streamlit, and AWS

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🧩 Tools & Technologies

• Languages: Python, SQL, Bash
• Libraries: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, XGBoost
• Visualization: Matplotlib, Seaborn, Plotly, Power BI
• Workflow: Git, Jupyter, Airflow, MLflow
• Cloud: AWS, GCP, Azure

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📈 Current Focus

• Building scalable ML pipelines and feature stores
• Improving model reproducibility with MLOps
• Exploring cutting-edge NLP techniques (LLMs, fine-tuning)
• Sharing knowledge through open-source projects and notebooks

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🚀 What You’ll Find in My Repositories

• 📊 Exploratory Data Analysis (EDA) — real-world datasets & insights
• 🤖 Machine Learning Models — from regression to XGBoost & ensembles
• 🧠 Deep Learning Projects — NLP, computer vision, and time-series
• ☁️ Deployed Apps — Streamlit dashboards & FastAPI endpoints
• 🧩 Reusable Code Templates — data cleaning, pipelines, and utils

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📬 Let’s Connect

• 💼 LinkedIn:(https://linkedin.com/in/e8arpit)
• 🐦 Twitter: (https://twitter.com/e8arpit)