Delivery Duration Prediction: DoorDash

Used Machine Learning Algorithms to predict the estimated delivery duration from DoorDash

Analysis of Trends on Twitter, Reddit, HackerNews

Implemented Python based data crawler to collect an extensive dataset comprising 37 million entries and utilizing PostgreSQL to ensure seamless accessibility. Applied advanced Natural Language Processing techniques, including TF-IDF, K-Means Clustering, to analyze the massive dataset.

COVID-19 Data Exploration Using SQL and Tableau

Utilized SQL to dissect COVID-19 datasets of ourworlddata.org from February 2020 to February 2022, employing advanced methodologies such as joins, CTEs, temp tables, window functions, and more to gain deep insights into pandemic effects across global regions.

Netflix Movies and TV-Shows using Tableau

Designed an interactive dashboard highlighting Netflix Movies and TV shows content insights featuring top 10 genre distribution, description, ratings distribution, along with a world map showcasing global distributing trends.

Data Profissional Roles-DashBoard

Performed Average Salary Analysis, Salary and Work-Life Satisfaction Metrics, Gender Based Salary Analysis, Programming Language Trends among Data Science roles

Telco Customer Churn: IBM Dataset

Analyzed and preprocessed a customer churn dataset using pandas and NumPy libraries. Performed feature engineering techniques including one-hot encoding and handling missing values.Implemented a machine learning pipeline for training, validating, and testing models.