About Me
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.
Experience
Data Analysis
<p>Conducted comprehensive real-time data analysis for A.R. Medicals.<br>
Employed Python, Pandas, and Matplotlib for data cleaning and visualization.<br>
Developed an interactive Power BI dashboard to deliver actionable business insights and facilitate informed decision-making.<br>
Integrated insights into MySQL for further analysis and storage.</p>
Power BI Job Simulation
<p>Strengthened Power BI skills through a PwC job simulation, enhancing client understanding and data visualization.<br>
Showcased proficiency in crafting impactful Power BI dashboards, conveying KPIs, and delivering well-designed client solutions.<br>
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.</p>
Web scraping and Visualization
<p>Conducted web scraping of IMDb's top 1000 movies using Python and BeautifulSoup.<br>
Transformed and cleaned collected data, formatting columns for analysis.<br>
Designed and created an interactive Tableau dashboard for data visualization.<br>
Derived insights on top directors, highest-rated movies, movies with the most votes, and prevalent genres.</p>
Academic Project
<p>Collaborated on a team project to create a Driver Alert System using Convolutional Neural Networks (CNNs).<br>
Utilized OpenCV for image acquisition, analyzing eye and mouth states from Region of Interest (ROI) images captured via a webcam.<br>
Developed a CNN model to classify driver's eye state as 'Opened' or 'Closed,' triggering drowsiness or yawning alerts.<br>
Demonstrated teamwork and applied deep learning techniques for enhancing road safety.</p>