Dedicated and results-oriented professional with years of experience in leveraging data-driven insights to drive business decisions. Skilled in machine learning, big data analytics, and statistical modeling to deliver actionable insights. Strong in communication, problem-solving, and quick learner. Eager to contribute to a dynamic team and support organizational goals.
[Python, C, R, Javascript]
[Pandas, NumPy, SciPy, Matplotlib, Seaborn]
[Hypothesis test, ANOVA]
[Linear Regression, OLS, Ridge and Lasso, Logistic Regression, DT, RF, KNN, SVM, Bayes Algorithm, K-Means, Hierarchal, DB Scan, PCA, LDA]
[Microsoft SQLServer, ]
[MongoDB]
[Deep Neural Network, CNN model, NLP: RNN, LSTM, GRU, LLM]
[Hadoop, Spark]
[Power BI, Tableau, Plotly, Ggplot]
Sudoku Solver, Built a model to solve sudoku by uploading the image of one such problem using computer vision.Integrated trained models into web applications using Flask framework.
Customer Purchasing Intention Prediction, Built a solution that can predict customer purchase intention through the activity log of users. Explanatory data analysis, Model Selection and Model Building was done to attain an accuracy of 89.6%.
Sentiment Analysis, Customer’s response towards products and services were evaluated through sentimental analysis. Feedbacks and reviews were used for data modelling.