Data Analyst with advanced degrees in Data Science and Computer Science. Proficient in Python, SQL, and Tableau, with a strong focus on statistical analysis, machine learning, and data-driven decision-making. Experienced in optimizing customer retention and enhancing marketing strategies. Seeking a role to deliver impactful business insights.
Environments: SQL, Python, Tableau, ML Libraries, GitHub, Jira.
Environments: Java, Spring Boot, Maven, RESTful APIs, GitHub, Jenkins, Swagger, Docker, Kubernetes, JIRA, Postman, and PostgreSQL.
Predicting Future Sales: Conducted data analysis, utilized XGBoost Regressor for 94% accurate sales prediction, and demonstrated proficiency in Python and XGBoost for regression modeling.
Price Prediction of Used Automobiles: Analyzed Car Dekho dataset, built predictive models with linear regression and random forest, and implemented feature engineering techniques for price prediction.
Analyzing Film Popularity on Streaming Platforms: Conducted EDA on a film dataset, used K-Means and O-Clustering data mining models, and analyzed factors influencing film ratings, showcasing skills in data analysis, mining, and visualization. Utilized Tableau to visualize the results.