Hi, I'm Kaveya Sivaprakasam.
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I'm an enthusiastic and creative individual, always eager to explore new challenges and broaden my horizons. I excel in diverse roles and am recognized for my responsibility, approachability, and strong communication skills. I am deeply passionate about leveraging my expertise to drive meaningful change and foster innovation in my field
About
Hello, I'm currently pursuing my Masters in Data Science at the University of California, San Diego. I am a vibrant and proactive person, constantly seeking out new opportunities for growth and learning. My technical proficiency spans data analysis, optimization of data processes, and enhancing data-driven decision-making. I am committed to applying my skills to create impactful solutions and promote innovation in every endeavor I undertake.
- Languages: Python, R, Java, JavaScript, C, HTML/CSS, Bash
- Databases: MySQL, PostgreSQL, NoSQL (MongoDB), GraphQL
- Libraries: NumPy, Matplotlib, Pandas
- Frameworks: Flask, Django, Node.js, Keras, TensorFlow, PyTorch, Bootstrap, Apache Beam
- Tools & Technologies: Tableau, Power BI, AWS, Git, Alteryx, Neo4j, Excel (Pivot, VBA), Apache Spark, Kafka
Looking for an opportunity to work in a challenging position combining my skills in Data Science, which provides professional development, interesting experiences and personal growth.
Experience
- Taught SQL and database management, earning high praise from 96% of students.
- Created and graded a curriculum that improved students' data handling skills. Tools: SQLite, PostgreSQL, Object- Oriented Data Model, XML databases, SPARQL, Presentation
- Improved machine learning model accuracy by 25% and reduced data latency by 40% using TensorFlow, Scikit-learn, and Azure.
- Enhanced decision-making and workflow efficiency by 15-20% through Agile, Tableau, and optimized database management.
- Automated reports with Power BI dashboards that integrate data from MySQL and data warehouses for timely business insights.
- Tools: MySQL, Power BI, Python, TensorFlow, Scikit-learn, Azure, Tableau
- Conducted live coding sessions in C programming, delivering over 120 hrs of instruction to a students.
- Covered topics on control statements, functions, arrays, strings, pointers, dynamic memory allocation, and error handling.
- Tools: C
- Enhanced data processing and model accuracy by 30% and 35% respectively using advanced machine learning techniques and Python.
- Streamlined data management and reporting on AWS, MongoDB, and Power BI, significantly improving efficiency and decision-making.
- Tools: SQL, Power BI, AWS, Python, MongoDB
Hobbies
My Me Time :)
Art
Read
Gym
Surf
Trek
Cook
Projects
Machine Learning Model to detect frauds.
- Tools: Scikit-learn, LightGBM, Matplotlib, Kolmogorov-Smirnov (KS) test
- Developed predictive models using advanced feature engineering from 10 data fields
- Achieved a 3% false discovery rate with a Random Forest classifier.
- Projected to save $45 million annually by reducing fraud and false positives.
A comprehensive data analysis on different data models
- Tools: SQL, Neo4j GraphQL, NoSQL
- Conducted a comprehensive analysis of data science subreddits using PostgreSQL, Cypher, and MongoDB.
- Integrated relational, graph, and JSON data from Kaggle and Reddit in a Docker environment.
- Derived insights on subreddit growth, engagement, and community trends.
A digital platform for reserving seats at academic activities
Leadership and Volunteering
- Organized data regarding donations and budget reports into detailed pivot tables which helped to speed up the analytics processing by 2x
- Managed the CSI team for all the activities conducted by CSI-VIT.
- Conducted 12 successful events including webinars, workshops, competitions and also streamlined collaborative events with GitHub, Spark AR, CESA-VIT.
- Coordinated with the companies and onboarded them for hiring which resulted in increased internship and placement opportunities for students of IITM
- Responsible to lead the design group and designed visual content for the official social media pages to improve the engagement of students with the committee
- Improved the engagement and increased the reach of the event by 20% using appealing posts on social media.
Education
University of California, San Diego
San Diego, USA
Degree: Master of Science in Data Science
CGPA: 4.0/4.0
- Statistical Model
- Fraud Analytics
- Causal Inference
Relevant Courseworks:
Mumbai, India
Degree: Bachelor of Engineering in Computer Engineering
CGPA: 4.0/4.0
- Big Data Analytics
- Social Media Analytics
- Finance Management
Relevant Courseworks: