About Me
Hello, I'm Kapsa Sharvani
I am a passionate web developer with a strong background in front-end development. I pursing a Bachelor's degree in Computer Science from Sr university , where I excelled in courses like Html,css and Python
During my internships at Coin-cent, Stupath, and Teachnook, I gained valuable experience in marketing, business development, and data analysis. I am proficient in HTML, CSS, and have experience with Python for data manipulation and visualization.
Besides coding, I enjoy exploring new technologies and contributing to open-source projects. I am enthusiastic about leveraging technology to create innovative solutions that solve real-world problems.
Feel free to connect with me on LinkedIn or GitHub to learn more about my work and projects.
Internship
Marketing Executive
Coin-cent
Expanded digital reach by executing targeted online advertising campaigns across multiple platforms. Analyzed market trends to identify new growth opportunities, driving expansion into untapped markets. Conducted market research to identify target audiences and tailor marketing messages accordingly.
Business Developer
Stupath
Utilized strong communication abilities during presentations leading to increased understanding among colleagues regarding project goals and objectives. Developed organizational skills managing multiple tasks simultaneously while adhering to strict deadlines.
Data Intern
Teachnook
Collected and cleaned data from various sources. Analyzed data using Python and Excel. Created visualizations with Tableau. Generated reports and dashboards for stakeholders. Assisted in data projects and research.
Skills
Front-End:
- HTML
- CSS
- FLUTTER
- DART
Back-End:
- Python
- Java
- API INTEGRATION
Databases:
- SQL
Office Suite:
- Microsoft Word
- Microsoft PowerPoint
Design & Communication Skills:
- Adobe Photoshop
- Canva (Certified by Stupath)
- Excellent verbal and written communication skills
- Public speaking
- Team collaboration
Projects
Benchmarking Recruitment Rates in Clinical Trials: A Predictive Dataset| DATA SCIENCE | NOVEMBER 2024
Developed a predictive model using Python to estimate clinical study recruitment rates based on internal and external factors. Achieved high accuracy with an R-squared of 1.0, RMSE of 0.0, and MAE of 2.0. Conducted feature importance analysis and visualizations to identify key predictors
A Prediction of KAP in Hypothyroidism - NLP - Data Visualizations - May 2024
KAP (Knowledge, Attitude, and Practice) studies are used in public health to understand awareness, perceptions, and behaviors regarding specific health conditions. Predicting KAP in hypothyroidism involves assessing how well people know about the condition, their attitudes towards it, and their health practices related to its management.
Emoji-Based Song Recommendation System - ECLIPSE - JAVA - December, 2023
An emoji-based song recommendation system uses emoji inputs to suggest music tracks that match the mood, emotions, or themes conveyed by the emojis. This approach leverages the universal language of emojis to provide personalized music recommendations.