DEENADHAYALAN K
Chennai
Summary
Driven software engineer with a passion for machine learning, seeking a position to apply advanced algorithms and data analysis techniques to solve complex problems, while keeping up with the latest developments in the field.
Overview
2
2
years of professional experience
1
1
Certification
Work History
Software Engineer
IDP Education India Ltd
Chennai
05.2023 - Current
- Developed Python logic and AWS integrations for marketing software, like SAP Marketing Cloud (YMarketing) and Adobe Marketo.
- Experienced in integrating data sources with Sinch, Twilio, and Marketo for campaign creation and lead nurturing via email, SMS, and social media platforms like WhatsApp, and Viber.
- Successfully developed the AWS and Python integration for data migration involving 11 million data with less than 5% errors.
Project Intern
IDP Education India LLP
09.2022 - 05.2023
- Developed AWS integrations using API Gateway, SNS, SQS, Dynamo DB, Cloudwatch, Lambda, S3 etc
- Implemented Security and Vulnerability Assessment, Code Coverage using SonarQube
- Implemented code quality in python using Pylint, Pytest, Pyright
- Experienced in version control systems such as Gitlab and Docker
Education
Bachelor of Engineering - Computer Science And Engineering
Rajalakshmi Engineering College
05.2023
HSC -
John Dewey Matric higher secondary school
04.2019
Skills
- Python
- Amazon Web Services
- Terraform
- Streamlit
- Splunk
- Neo4j
- Gitlab
- Atlassian Jira
Courses
- Completed the Social Network Analysis From NPTEL
- Completed Introduction to Neo4j Graph Data Science and Neo4j Fundamentals from Neo4j GraphAcademy
Projects
Youtube Spam and Bias Detection using Gemini:
- Designed a Python project to analyze YouTube comments by collecting and storing data in N0SQL, including channel, video, and comment details.
- Utilized the Google Gemini model and fine-tuned it on local phrases to analyze comments in regional languages.
- Implemented sentiment and bias detection to tag user perspectives effectively. Enabled structured insights into user biases for specific topics or political entities.
Disease Prediction from symptoms using Neo4j:
- Developed a Python-based system to identify diseases based on user-provided symptoms using a graph network model.
- Leveraged the Neo4j Python package to analyze relationships and insights between diseases and their associated symptoms.
- Enabled efficient querying and visualization of complex medical data for diagnostic support.
Links
https://www.codechef.com/users/deenadhayalank
https://graphacademy.neo4j.com/u/f77d5d36-e094-4a68-90ac-80e9fc9f3ffa
https://www.salesforce.com/trailblazer/deenadhayalank
Certification
Certified in Intro to Machine Learning, Intermediate machine learning and Data Visualization by Kaggle
Timeline
Software Engineer
IDP Education India Ltd
05.2023 - Current
Project Intern
IDP Education India LLP
09.2022 - 05.2023
Certified in Intro to Machine Learning, Intermediate machine learning and Data Visualization by Kaggle
Bachelor of Engineering - Computer Science And Engineering
Rajalakshmi Engineering College
HSC -
John Dewey Matric higher secondary school
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