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Deepakkumar165/README.md

👋 Hi, I’m Deepak Kumar

I’m an aspiring Data Scientist passionate about transforming raw data into actionable insights. Skilled in Python, SQL, Statistics, Machine Learning, NLP, Excel, and Power BI, I enjoy solving real-world problems using data-driven approaches.
Currently, I am focusing on strengthening my expertise in Python programming, database management, and business intelligence tools.

💻 Skills & Tools

Programming & Data Analysis

Python Pandas NumPy Matplotlib Seaborn SQL

Machine Learning & Analytics

Scikit-Learn Statistics ML

Natural Language Processing (NLP)

NLP Text Analysis

Business Intelligence & Visualization

Excel Power BI

Tools & Platforms

Jupyter GitHub

📂 Featured Projects

1️⃣ Twitter Sentiment Analysis

Python Pandas NLP ML EDA

  • Collected and cleaned Twitter data, removing noise like URLs, mentions, and emojis.
  • Performed NLP preprocessing and applied machine learning models for sentiment classification.
  • Visualized insights using word clouds, bar charts, and sentiment distribution graphs.

2️⃣ Heart Disease Prediction (98% Accuracy)

Python Pandas ML

  • Built ML model to predict heart disease using patient clinical data.
  • Preprocessed data, performed EDA, and trained classification models.
  • Achieved 98% accuracy; aids early detection of high-risk patients.

3️⃣ Student Performance Analysis

Python Pandas NumPy

  • Analyzed student exam performance data to find key influencing factors.
  • Conducted statistical analysis and visualizations using Matplotlib & Seaborn.
  • Insights help in improving academic outcomes and identifying trends.

4️⃣ MarketMetrics: Grocery & FMCG Pricing Trends

Python Pandas Matplotlib

  • Tracked price fluctuations in grocery & FMCG product categories.
  • Conducted EDA to identify trends, seasonality, and pricing patterns.
  • Supports market research, competitive analysis, and retail strategy decisions.

📊 GitHub Stats Deepak's GitHub Stats Top Languages

📫 Connect & Contact

I’m open to collaboration and data-driven projects. Feel free to reach out:

👁️‍🗨️ Visitor Count

Visitor Count

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  1. student_performance_analysis student_performance_analysis Public

    This project analyzes student performance data using Python. It explores how gender, parental education, lunch type, and test preparation affect math, reading, and writing scores. Includes data cle…

    Jupyter Notebook

  2. Sumaiyyaustad/MarketMetrics-Analyzing-Grocery-FMCG-Pricing-Trends Sumaiyyaustad/MarketMetrics-Analyzing-Grocery-FMCG-Pricing-Trends Public

    This project analyzes pricing patterns, brand distribution, and discount dynamics in the online grocery & FMCG sector using a real-world BigBasket dataset of 28,000+ products. It leverages SQL (que…

    Jupyter Notebook 1

  3. twitter_sentiment_analysis twitter_sentiment_analysis Public

    A sentiment analysis project on Twitter tweets using Python for text preprocessing and visualization. The project includes Exploratory Data Analysis (EDA) and sentiment classification using Logisti…

    Jupyter Notebook

  4. heart_disease_risk_model heart_disease_risk_model Public

    A machine learning project that predicts heart disease risk using patient health data. Includes data preprocessing, EDA, model training, and evaluation using Python and scikit-learn. Demonstrates c…

    Jupyter Notebook