Ramya Sekar
Melbourne
Summary
Postgraduate student pursuing Masters of Data Science from Deakin University.I possess a deep passion for extracting valuable and meaningful insights from data, which can help in business decision-making processes. I strongly believe to make a positive impact to any workplace or institution I'm part of.
Overview
6
6
years of professional experience
1
1
Certification
Work History
Data Science Intern
Job Search Ninja
09.2023 - 02.2024
- Langchain and Large Language Models (LLM): Optimize and increase accuracy of job matching algorithms, resulting in generation of match scores for every job, ensuring users find the most suitable opportunities.
- Resume and Job Description Categorization: Enhanced accuracy through systematic categorization of resumes and job descriptions, facilitating better job matches for users.
Programmer Analyst
Cognizant Technology Solutions
11.2017 - 11.2020
- Experience working in multiple domains such as Manufacturing Logistics, Healthcare and Insurance with clients to establish system designs.
- Tools- INSYNC,SPUFI,XPEDITER,Changeman,Endevor and SCLM.
- Experience working with Teradata scripts.
- Good knowledge in extracting Business rules from Legacy system to support Transformation programs.
- Experience working in Agile project and Agile tools.
Education
Master of Data Science -
Deakin University
Melbourne, VIC06.2024
Bachelor's - Computer Science Engineering
Anna University
India2017
Skills
- Python
- R
- Machine Learning
- Data Analysis
- Data Visualisation
- Deep Learning
- Cloud Computing
- Power BI
Additional Information
- Student Company Leader at Redback Operations (Deakin University): Collaborated on strategic planning, decision-making, and demonstrated effective teamwork and leadership skills.
- Won Spot Award for significant contribution to project implementation
at Cognizant.
ACADEMIC PROJECTS
- Sports Performance Analysis- Deakin University
Data Visualization with PowerBI: Connected GCP BigQuery with PowerBI for user data analysis. Conducted data cleaning, and visualized key user attributes like altitude and heart rate.
Football Game Analysis: Examined a spectrum of player activities, calculating various attributes to gain insights into player performance, team tactics, and fitness levels.
Developing ML models for Football prediction: Leveraged machine learning models to predict football game outcomes, enhancing insights through data exploration, analysis, and optimization.
Certification
- Certified Azure Fundamentals, Microsoft- AZ900
Timeline
Data Science Intern
Job Search Ninja
09.2023 - 02.2024
Programmer Analyst
Cognizant Technology Solutions
11.2017 - 11.2020
Master of Data Science -
Deakin University
Bachelor's - Computer Science Engineering
Anna University
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