Graduated from The University of Texas at Dallas with a Masters in Information Technology Management.
I have a passion for Python, SQL and Working in Data Science.
I worked as a Data Analyst Intern at Loopback Analytics and proficient in technologies like Python, SQL, R, Snowflake, Tableau, MongoDB, R, and MS-Excel.
Worked as a Real World Data Analyst at Loopback Analytics a healthcare analytics company providing IT solutions to health systems Analyzed Data in Snowflake, Databricks and Excel.
Completed an Internship from The Sparks Foundation Worked on analyzing datasets provided to creative meaningful visualizations.
Worked on Python Development, Student outcome analysis and created meaningful visualizations from student data to create data science models to predict student test scores.
Worked with a team of 6 people. Led the UI Design team and made the entire UI and UX using Adobe Illustrator. Created elements in Android Studio.
Proficient in Python, I have leveraged its rich libraries and frameworks for data manipulation, statistical analysis, and machine learning tasks. My coding skills have enabled me to develop custom solutions and automate repetitive data processes. Completed courses in Python, solving problems on HackerRank and Competitions in Kaggle. I've gotten my HackerRank Python Certification.
Databricks has been a fundamental tool in my data analysis toolkit. This collaborative data engineering platform, built on Apache Spark, allowed me to process and explore data efficiently, collaborate with teams seamlessly, and develop sophisticated data pipelines for advanced analytics.
Snowflake is a powerful cloud-based data warehousing platform that I have extensively utilized to manage and analyze large-scale datasets. Its scalable architecture and efficient query processing capabilities have enabled me to write optimized SQL queries and deliver robust insights and data-driven solutions. Additionally, I have completed courses on Snowflake.
I have a solid grasp of SQL, which I've employed to perform data querying, filtering, and aggregation tasks. Using SQL, I can extract meaningful information from databases and contribute to data-driven decision-making processes.
Tableau has been my go-to tool for creating interactive and visually compelling data visualizations. With a keen eye for design and storytelling, I have effectively used Tableau to communicate complex insights in a clear and accessible manner. Created numerous Tableau Visualizations. Along with that I've also completed Tableau Coursework on their official website.
As an experienced data professional, I have worked extensively with MongoDB, a leading NoSQL database platform. MongoDB's flexible document-based structure has allowed me to handle diverse and unstructured data sets with ease. Leveraging its powerful querying capabilities and indexes, I have efficiently managed, stored, and retrieved large volumes of data for various projects. I have also completed courses on the official MongoDB University and studied MongoDB in Database coursework.
As a proficient data analyst and statistician, I have extensive experience utilizing R programming for various data-centric tasks. R has been my go-to language for data exploration, statistical analysis, and visualization, empowering me to gain valuable insights from complex datasets.
Graphic Designing has been my hobby since childhood. I have made a lot of desings that I sell on RedBubble.
n HTML, I have mastered the art of structuring content, organizing information hierarchically, and utilizing semantic elements to enhance accessibility and SEO. Through clean and well-structured HTML code, I ensure that websites are not only visually engaging but also user-friendly and easily navigable.
As part of my Database Foundation Course's Final Project, I made PayrollPal database for a Payroll Management System.
As our Final Year BE Computer Engineering Project, me and my group made a bridge health monitoring system. An IoT based device which monitors the health of the bridge and send data to the maintainance engineer.
A Python based YouTube video scraper and video data analyzer that scrapes videos based on user input and gives out a detailed analysis
College Task Manager for adding, removing and updating tasks.
