Highly motivated and results-oriented Data Science Master's student Having one year of experience as a Data Analyst, seeking to leverage strong analytical skills and proficiency in (Python, SQL, BI tools, and Machine Learning) skills to solve complex problems and extract actionable insights from data. Eager to contribute to a team environment and apply academic knowledge to real-world data science challenges.
Leveraged data processing skills to streamline workflows and ensure accurate data availability for analysis. Utilized Power BI to create insightful reports and dashboards visualizing key metrics for stakeholders. This enabled data-driven decision-making for clients.
Built a user-friendly single-page web application (SPA) using Java FSD technology to serve as a centralized hub for COVID-19 information and resources. Leveraged my skills in UI/UX design and front-end development (HTML, CSS, JavaScript) to create a dynamic interface for functionalities like displaying real-time data, enabling resource searches, and potentially including interactive elements. This project addressed a critical need during the pandemic by providing the community with easy access to accurate and up-to-date COVID-19 information.
Sharpened Python programming abilities through a summer internship at ExotrixLearning. Contributed to the development of Sentiment Analysis by implementing Python code. This experience broadened my understanding of Machine Learning concepts and provided valuable insights into the software development lifecycle through collaboration with experienced developers.
Skills
Soft Skills
SQL(Hacker Rank)
Skill certification at Basic and Intermediate Levels
https://www.hackerrank.com/certificates/iframe/9472676b89ed
Access to Quality Health Care: Web-based application stores the records of Patients and Doctors for better communication to diagnose the issues. The main objective is to facilitate the services for a particular area that are currently not served due to geographical and impaired reasons.
SPOT-Q: Designed Website for content aggregation. The purpose of the system is to provide Effective content and minimize the time delay between client and server. content accuracy depends upon the available resources.
ML-Based Offensive Tweet Accuracy Detector: The purpose of the system reaches a present accuracy equal to 78% that takes place to be going to belong to the ternary class that belongs to tweets into hate, offensive during the same time that properly all through the equal time that neither instructions.