Hi 👋 I'm Sunita.

As a Data Scientist, I am dedicated to leveraging data-driven insights to solve complex problems and drive strategic decision-making. With a strong background in statistics, machine learning, and programming, I specialize in extracting actionable insights from large datasets and developing predictive models to optimize business processes. My passion lies in uncovering patterns, trends, and correlations within data, ultimately driving innovation and enhancing organizational performance. With a commitment to continuous learning and a collaborative approach, I thrive in dynamic environments where I can contribute my analytical skills to drive impactful outcomes.

• 🌱 I’m currently learning Computer Vision.
• 💼 Data Scientist
• 🎓 Bachlore of Science (Physics).

Here are my few projects:

• Scania Truck Failures Detection
• Thyroid Disease Detection
• Stores Sales Prediction
• Instagram Reach Analysis
• Loan Approval Prediction

• Programming Language : [Python, SQL]

• Machine Learning : [Linear Regression, Logistic Regression, Decision Tree, Random Forest, KNN, SVM, Naive Bayes, AdaBoost, XG Boosting, K-Means Clustering, Dimensionality reduction etc.]

• Deep Learning : [Artificial Neural Network (ANN), Multilayer Perceptron, Recurrent Neural Network (RNN), Convolution Neural Network (CNN)]

• Libraries/Framework : [Pandas, Numpy, Flask, Scikit-learn, Tensorflow, Keras, PyTorch, NLTK, Spacy, Textblob, SciPy etc.]

• Data visualisation : [Matplotlib, Seaborn, Power BI]

• NLP, Statistics, Data Analysis, Excel

• Database : MySQL, MongoDB

• Statistical Analysis : [Hypothesis Testing, Confidence Intervals, Regression Models]