Doing a comprehensive SQL internship at Ivy Professional School, tackling 10 progressively challenging tasks.Mastered basic SQL operations including JOIN and GROUP BY clauses and acquired proficiency in advanced techniques such as Common Table Expressions (CTE), window functions, and self JOINSAnalyzing complex real-life scenarios, identifying top selling products and customer demographics during peak seasons

Conducted two different projects under this internship. Project details are as follows:Project Overview: The 1st project aims to analyze health and medical data, focusing on heart disease diagnosis, to gain insights that can contribute to better future preparation and decision-making. The Iris Classification project focuses on developing a machine learning model to accurately classify iris flowers into three species: Setosa, Versicolour, and Virginica. Dataset Description: The Iris dataset includes 150 samples, with 50 samples for each of the three species. Features: Sepal length, Sepal width, Petal length, Petal width. The dataset is partially linearly separable, with one species easily distinguishable, while the other two are more challenging to separate. Significance: The 1st project seeks to provide valuable insights into heart disease, which remains a leading cause of mortality worldwide. By understanding the factors that contribute to heart disease, the findings can help in preventive measures and policy-making to improve public health outcomes. The Iris dataset is a classic dataset in machine learning, often used to demonstrate the performance of different classification algorithms.

Conducted the accomplishments of small projects with software like, Excel, Mysql, SQL server, Jupyter notebook, Pycharm, Power BI, AutoCAD, SolidWorks, Matlab and others.Carried out an analysis of client behavior by developing reports based on sales data from 40+ geographies.Stored, organized, and examined 100 GB of data by creating a data warehouse using SQL Server and Excel.Developed projects on predictive analysis(linear, logistic, Random Forest) in python, Data manipulation with queries and modelling by building ER-diagram in SQL, Creating Dashboard and presenting with data validation in excel and others.

As a Site Engineer at Alcove Realty, I was responsible for overseeing various aspects of construction projects, ensuring that all activities on-site were executed according to the project plan and within the stipulated timelines. My role involved:Supervision and Coordination: Managed day-to-day operations on-site, coordinating with contractors, suppliers, and workers to maintain a smooth workflow and ensure adherence to safety and quality standards.Project Management: Assisted in planning and executing construction schedules, monitoring progress, and making adjustments as needed to meet project deadlines.Quality Control: Conducted regular inspections to ensure the work met the required specifications and standards, identifying any potential issues and resolving them promptly.Resource Management: Oversaw the use of materials and equipment, ensuring that resources were utilized efficiently and within budget constraints.Reporting: Maintained detailed records of site activities, progress reports, and any challenges encountered, communicating regularly with senior management and stakeholders.This role allowed me to develop a strong foundation in civil engineering practices, project management, and site supervision, contributing to the successful completion of key projects at Alcove Realty.