I'm Priya Dharshini

My Projects & Certificates

Cyber Security - Shape AI

It covers foundational concepts in cyber security, including threat analysis, risk management, and best practices for securing digital assets.

Focuses on web development with JavaScript and React, teaching how to build dynamic, responsive user interfaces.

JavaScript & React - Developer Students Club

Provides hands-on experience in JavaScript and React, enabling the creation of scalable web applications with a focus on front-end development.

Python & Cyber Security - Developer Students Club

Combines Python programming with key cyber security principles, emphasizing how to use Python for automation and security tasks.

Python & Machine Learning - Google Developers

Offers in-depth knowledge of machine learning algorithms and their implementation in Python, preparing for real-world AI applications.

Python & Cyber Security - Google Developers

Teaches how to leverage Python in the field of cyber security, covering topics like encryption, penetration testing, and data protection.

JavaScript & React JS - Shape AI

Key Contributions / Projects

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1. Social Media Sentiment Analysis Pipeline

• Technologies Used: Python, NLP (SpaCy, NLTK), Twitter API, Apache Kafka, Spark Streaming, AWS S3, Tableau

• Project Description:
  Built an end-to-end sentiment analysis pipeline to process real-time social media data (e.g., tweets) and analyze public sentiment (positive, negative, or neutral). Integrated the system with Twitter’s API to gather real-time data, and used NLP models to classify the sentiment. The project leverages cloud storage for scalability and provides visual insights through dashboards for quick business decisions.

• Impact:
  This system enables businesses to understand public sentiment and adjust their marketing strategies in real-time, improving brand positioning and campaign success.

2. OTNexa: Clinician Decision Support App

• Technologies Used: React, Node.js, MongoDB, AWS (EC2, S3)

• Project Description:
  Designed and developed a clinician decision support app aimed at improving patient care and decision-making. This web-based application allows clinicians to easily access and process critical patient data, improving efficiency and accuracy in clinical environments. The system is hosted on AWS for scalability and reliability.

• Impact:
  Improved workflow efficiency by 20%, allowing clinicians to make quicker, data-informed decisions, ultimately enhancing patient care.

3.Water Purifier Using Sensor System (Smart India Hackathon)

• Technologies Used: Arduino, IoT, Java

• Project Description:
  Developed an IoT-enabled water purification system with real-time automation for water quality control. The system adjusts purification parameters automatically based on sensor feedback, providing clean water efficiently. Led a cross-functional team to meet project deadlines and present at the Smart India Hackathon.

• Key Outcomes:

  • Real-time automation improved system responsiveness and overall accuracy.

  • Successfully presented at the Smart India Hackathon, demonstrating scalability and real-world impact.

About Me

Hi, I’m Priya Dharshini, a passionate Data Science enthusiast currently pursuing my Master's at Gannon University. With a background in Data Science and hands-on experience in Python, R, SQL, Tableau & power BI ,machine learning, I enjoy diving deep into data to uncover patterns, solve complex problems, and help businesses make data-driven decisions.

From leading cross-functional teams at Wipro to building personal projects around IoT and machine learning, I’ve gained practical experience in areas like predictive analytics, data visualization, and cloud computing. I’m always excited to explore new technologies and work on projects that have a real-world impact.

Looking forward to applying my skills and continuing to grow in the field of Data Science, while collaborating on exciting projects that challenge me to think creatively and make a difference.

Get in Touch

I’m eager to connect and discuss potential opportunities.