Abhishek Ghongade

Conducted EDA on large datasets, identifying patterns and trends to guide decision-making processes. Implemented data preprocessing and feature engineering techniques to enhance model performance and reduce prediction errors. Also done imputation, on large datasets for missing values, including MICE. Created interactive data visualizations and dashboards to effectively communicate insights and key findings to stakeholders. Employed Excel functions, VBA macros, and leveraged advanced features including pivot tables, and conditional formatting to efficiently analyze and visualize scraped data. Effectively presenting the findings, enabled stakeholders to derive valuable insights and make informed decisions based on the data. Built ML algorithms to analyze large amounts of information to forecast customer behavior and optimize marketing strategies. Conducted a comprehensive evaluation of the classification models by employing suitable metrics, including accuracy, precision, recall, and F1-score. Deployed various algorithms to increase overall accuracy of the model. These include BIRCH, K-Means, DBSCAN, and a Deep learning method as well for stakeholders to effortlessly explore and engage with the predictions. In forecasting tried approaches like, ARIMA, Data-driven, and deep learning-based models like LSTM (long short term memory), including FBProphet. Implemented these models on the Streamlit platform, developing a user-friendly and interactive interface. Conducted an in-depth analysis of various classification models, including linear and logistic regression, decision trees, random forest, XGBoost, SVM, naïve Bayes. Additionally, employed bagging and boosting techniques to further enhance model performance. Actively participated in team brainstorming and knowledge sharing sessions, contributing to the advancement of data science practices within the organization. Provided actionable insights and recommendations based on the data analysis, contributing to informed deci

Savitribai Phule Pune University