Passionate Undergraduate with a Bachelor's degree in Computer Applications specializing in Data Science. Proficient in Python, SQL, Power BI, and Excel. Experienced in transforming complex data into actionable insights, …
Passionate Undergraduate with a Bachelor's degree in Computer Applications specializing in Data Science. Proficient in Python, SQL, Power BI, and Excel. Experienced in transforming complex data into actionable insights, as demonstrated by successful real-time pharmacy data analysis. Skilled in data cleaning, processing, and visualization. Seeking opportunities to leverage expertise to deliver actionable business insights and drive data-driven decisions.
Conducted comprehensive real-time data analysis for A.R. Medicals.
Employed Python, Pandas, and Matplotlib for data cleaning and visualization.
Developed an interactive Power BI dashboard to deliver actionable business insights and facilitate informed decision-making.
Integrated insights into MySQL for further analysis and storage.
Strengthened Power BI skills through a PwC job simulation, enhancing client understanding and data visualization.
Showcased proficiency in crafting impactful Power BI dashboards, conveying KPIs, and delivering well-designed client solutions.
Applied analytical problem-solving to identify root causes for executive-level gender balance issues in HR data, emphasizing a commitment to data-driven decision-making.
Conducted web scraping of IMDb's top 1000 movies using Python and BeautifulSoup.
Transformed and cleaned collected data, formatting columns for analysis.
Designed and created an interactive Tableau dashboard for data visualization.
Derived insights on top directors, highest-rated movies, movies with the most votes, and prevalent genres.
Collaborated on a team project to create a Driver Alert System using Convolutional Neural Networks (CNNs).
Utilized OpenCV for image acquisition, analyzing eye and mouth states from Region of Interest (ROI) images captured via a webcam.
Developed a CNN model to classify driver's eye state as 'Opened' or 'Closed,' triggering drowsiness or yawning alerts.
Demonstrated teamwork and applied deep learning techniques for enhancing road safety.
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