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Name: Anmol Jaiswal

Type: User

Bio: A Data science professional, proficient in ML, NLP, DL and Generative AI. Exceptionally good with statistics and numbers.

✨ Welcome to Anmol's Data Science Realm ✨

👨‍🔬 Who is Anmol Jaiswal?

Greetings, fellow data aficionado! I'm a Senior Data Scientist who thrives on unearthing insights from data and molding them into actionable strategies. With a toolbox full of statistical techniques, machine learning models, and data visualization tools, I've journeyed through data mazes in various industries, leaving a trail of enlightened decisions and predictive insights.

🛠 Tech Toolkit

Languages: Python 🐍, R 📊, SQL 🗃️
Libraries & Frameworks: Pandas, PySpark, Scikit-Learn, TensorFlow, PyTorch, Plotly, Seaborn
Tools: Jupyter Notebook, Tableau, Power BI, Git, Docker 🐳, Kubernetes ☸️
Platforms: AWS, Google Cloud, Azure

💡 Featured Projects

Predictive Modeling for Retail Sales: Utilized XGBoost to forecast sales, achieving a 95% accuracy rate.

# Sample code snippet
import xgboost as xgb
model = xgb.XGBRegressor(objective ='reg:squarederror', colsample_bytree = 0.3, learning_rate = 0.1,
              max_depth = 5, alpha = 10, n_estimators = 10)
model.fit(X_train, y_train)

NLP Sentiment Analysis on Twitter Data: Implemented LSTM networks with TensorFlow to analyze sentiments, with an 88% sentiment classification accuracy.
Dynamic Dashboard for COVID-19 Data Visualization: Created an interactive dashboard using Power BI to track and visualize the pandemic's impact globally.

🌐 Let's Connect

I’m always open to discussing new projects, innovative ideas, or opportunities to collaborate on emerging technologies in data science. Reach out through the links above!

🚀 Quick Stats

📜 Disclaimer

The projects and code hosted in my repositories serve as a showcase of my skills and are primarily intended for educational and demonstrative purposes. They do not carry any license from formal institutions unless explicitly stated.

💼 Crafting Data Stories | 🚀 Fueling Insights | 🌟 Shaping the Future

Anmol Jaiswal
Senior Data Scientist | Machine Learning Engineer | Data Strategist

Anmol Jaiswal's Projects

120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

algorithmic-trading-with-python

Source code for Algorithmic Trading with Python (2020) by Chris Conlan

anmolg1997

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

auto_calibration_bot

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

bank-customer-clustering

Cluster customers on the basis of attributes.

car-price-prediction

model the price of cars with the available independent variables to be used by the management to understand how exactly the prices vary with the independent variables

covid19-webscraping-datamunging

deep-learning-projects

dsa-bootcamp-java

This repository consists of the code samples, assignments, and notes for the Java data structures & algorithms + interview preparation bootcamp of WeMakeDevs.

funtime

generative-ai

house-sales-price-prediction---multiple-linear-regression

Consider a real estate company that has a dataset containing the prices of properties in the Delhi region. It wishes to use the data to optimise the sale prices of the properties based on important factors such as area, bedrooms, parking, etc. Essentially, the company wants — To identify the variables affecting house prices, e.g. area, number of rooms, bathrooms, etc. To create a linear model that quantitatively relates house prices with variables such as number of rooms, area, number of bathrooms, etc. To know the accuracy of the model, i.e. how well these variables can predict house prices.