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Athharv5/README.md

πŸ‘‹ Hi, I'm Atharv Kadam!

πŸŽ“ I'm a passionate Data Science graduate student at the University of Colorado Boulder, building impactful projects across Machine Learning, Data Engineering, and Analytics. I aim to solve real-world problems by blending clean code with deep business insight.

πŸ” I'm especially interested in roles like:

  • Machine Learning Engineer
  • Data Engineer
  • Data Analyst
  • Data Scientist

πŸ’Ό Skills & Tech Stack

🧠 Languages & Tools

Python
R
SQL
Git


πŸ“Š Data Analytics & BI

Excel
Power BI
Tableau


πŸ“š Libraries & Frameworks

Pandas
NumPy
Scikit-Learn
XGBoost
LightGBM
Seaborn
Matplotlib


☁️ Data Engineering Tools

Snowflake
PySpark


🌐 Others

Jupyter
LaTeX


πŸš€ Featured Projects

🧠 Suicide Prediction System: A Socioeconomic Analysis

Built a predictive ML system analyzing GDP, happiness index, suicide rates, and more to assess suicide risk.
πŸ“ˆ Models Used: XGBoost, KNN (97% Accuracy), Random Forest
πŸ”¬ Focus: Socioeconomic risk factors, real-time prediction planning

😰 Calmlytic: Anxiety Severity Analysis & Prediction

Analyzed anxiety levels using lifestyle, physiological, and behavioral data.
πŸ“Š ML Stack: PCA, K-Means, Apriori, Naive Bayes, SVM, XGBoost
πŸ’‘ Insights: Stress, caffeine, and sleep patterns heavily impact anxiety


πŸ“Š GitHub Stats

Top Langs
Atharv's GitHub Stats


🌐 Connect with Me

πŸ”— LinkedIn
πŸ“‚ GitHub Portfolio

Let’s collaborate and build something impactful! πŸš€

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  1. Calmlytic Calmlytic Public

    An end-to-end machine learning project that predicts anxiety severity using classification models (Naive Bayes, Decision Tree, SVM, Logistic Regression, XGBoost), based on lifestyle, health, and be…

    Jupyter Notebook 1

  2. Suicide-Prediction-System Suicide-Prediction-System Public

    A machine learning project predicting suicide risk based on multiple socio-economic and environmental factors using data mining techniques.

    Jupyter Notebook 1

  3. Netflix-rating-predictor-StreamPulse Netflix-rating-predictor-StreamPulse Public

    Full-stack machine learning project that predicts viewer satisfaction (high ratings) on Netflix using demographic data and TMDB movie metadata. Includes EDA, XGBoost modeling, and real-time enrichm…

    Jupyter Notebook 1

  4. RetailStrategyDashboard RetailStrategyDashboard Public

    πŸ“Š Interactive Excel dashboard analyzing retail orders, sales, and profit using Pivot Tables, slicers, and charts for dynamic insights.

    1

  5. CO2-emissions-Dashboard CO2-emissions-Dashboard Public

    Interactive Tableau dashboard exploring global COβ‚‚ emissions trends, rankings, and growth from 2000–2022 using public OWID climate data.