OJASVI PATHANIA
Pre Final Year Computer Science Student
Chennai
Summary
Dynamic and results-driven third-year Computer Science undergraduate specializing in Bioinformatics, with a proven track record in developing end-to-end data-driven applications leveraging NLP, speech processing, computer vision, and analytics. Leadership experience as Vice Chair of a technical club demonstrates the ability to guide teams and foster collaboration while delivering impactful real-world projects. Passionate about harnessing data to create meaningful solutions that enhance user experiences and operational efficiency.
Overview
1
1
year of professional experience
Work History
Intern
Sophos IT Services
05.2025 - 06.2025
- During my internship at Sophos, I worked on developing a web application, where I learned a new templating language, Pug, and gained hands-on experience with modern web development tools and practices. I also gained hands-on experience with Argus Software.
Frontend Developer Intern
Ideogram Technology Solutions
05.2024 - 07.2024
- During this period, I successfully applied my technical skills in HTML, CSS, and JavaScript to work on various projects.
Education
B.Tech - Computer Science Engineering (Bioinformatics)
VIT Vellore
Vellore, India01-2027
Skills
Programming in Python, SQL, C, C, and Java
Web & App Tech: HTML, CSS, JavaScript, TailwindCSS
Power BI
Responsive Web Design
Computer Networks
Database Management
Leadership & Experience
Vice Chair – VBC (Technical Club) Led and coordinated technical and non-technical initiatives for club operations. Collaborated with cross-functional teams for events, promotions, and flagship programs. Mentored juniors and reviewed technical work, incorporating peer feedback. Event Coordinator & Marketing Team Member Organized large-scale college events, handling logistics, promotions, and execution. Worked under deadlines and high-pressure environments while coordinating multiple stakeholders.
Projects
Retails Sales Data Analysis and Insights
- Improved sales forecasting accuracy by 25% by analyzing seasonal and regional trends.
- Identified 60% revenue contribution from consumer products and highlighted top-performing regions for technology products
- Accelerated insights by 30% using Python and Kaggle Notebooks for efficient data cleaning and analysis.
- Enhanced inventory management and product positioning by 15% through sales pattern analysis and Excel pivot tables.
- Tools: Python, MS Excel, Kaggle
VOICE BASED ADR REPORTER
- Increased ADR reporting efficiency by 35% using voice-based and document-based inputs.
- Converted unstructured voice notes and scanned documents into structured data using Speech-to-Text, NLP, and OCR.
- Improved data accuracy by 25% through automated extraction, cleaning, and validation.
- Enabled faster trend analysis by applying NLP to identify key medical terms while ensuring data privacy.
- Tools: Python, NLP, OCR, Speech-to-Text APIs