Sunny Likhith
@sunnylikhith
Network automation and data scientist skilled in cloud, Python, CI/CD, and AI-driven predictive solutions.
What I'm looking for
I am a technology-focused professional with hands-on experience in network automation, cloud infrastructure (AWS & Azure), and data science. I build scalable, repeatable deployments and automate operational workflows to reduce manual effort and accelerate delivery.
In network automation roles I developed Python workflows, implemented IaC, and integrated CI/CD pipelines, which cut configuration time and downtime significantly while improving deployment speed. I also automated ticketing and incident correlation to boost operational efficiency.
As a data scientist I designed predictive models (ARIMA, LSTM, XGBoost), optimized ETL pipelines, and created interactive analytics and visualization tools that improved forecasting accuracy and decision-making. I applied NLP and sentiment analysis to enhance market insights and risk evaluation.
I seek to apply my combined cloud, automation, and machine learning expertise to high-impact projects that optimize operations and deliver measurable results for engineering-led teams.
Experience
Work history, roles, and key accomplishments
Network Automation Engineer
CONNX AI
Oct 2024 - Oct 2025 (1 year)
Developed Python-based network automation workflows and IaC in AWS/Azure that reduced manual configuration by 40%, cut downtime by 50% via self-healing rules, and improved deployment speed by 35% through CI/CD integrations.
Data Scientist
AI Variant
Jan 2024 - Oct 2024 (9 months)
Built ARIMA/LSTM/XGBoost forecasting models and optimized ETL to increase forecasting accuracy by 20% and reduce data processing time by 30%, plus delivered Streamlit/Flask apps and Tableau dashboards to speed decision-making by 25%.
Education
Degrees, certifications, and relevant coursework
Sree Vidyanikethan Engineering College
Bachelor of Technology, Computer Science Engineering
Grade: 7.5
Completed Bachelor of Technology in Computer Science Engineering with a final grade of 7.5.
Availability
Location
Authorized to work in
Job categories
Skills
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