Vagadheeswari Kona

AI Researcher

Bengaluru, Karnataka, India1 yr experience

AI EnabledAI ML Practitioner

Key Highlights

Developed a machine learning model improving bug prediction accuracy by 30%.
Automated network operations, enhancing efficiency and reliability.
Certified in Google Data Analytics and API Development.

Stackforce AI infers this person is a Data Scientist with expertise in machine learning and automation in the networking industry.

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Skills

Core Skills

Machine LearningPythonAutomationData Science

Other Skills

Data PreprocessingRoot Cause AnalysisExploratory Data AnalysisData CleaningTime-Series ForecastingData AnalysisWeb ScrapingBusiness Intelligence (BI)Test AutomationAI AgentsAPI Development (Flask)ETL ProcessesTableauData VisualizationStatistical Analysis

About

✨ Welcome, and I appreciate your time. I am a detail-oriented professional passionate about solving problems through data-driven and agent-based approaches. I enjoy working with data and technology, combining analytical thinking with hands-on technical expertise to deliver practical and impactful solutions. Key Skills & Certifications: ✔ Proficient in SQL, Excel, Tableau, and APIs for data analysis, visualization, and system integration ✔ Experienced in Python, Machine Learning, and AI Agents (multi-agent systems) for automation, modeling, and intelligent workflows ✔ Strong foundation in networking and infrastructure, supported by CCNA and DevNet certifications ✔ Certified in Google Data Analytics and API Development & Integration, demonstrating expertise in data analysis and system integration With a consulting mindset and solution-focused approach, I support organizations through data-driven decision-making, intelligent automation, and process optimization. 🤝 Let’s connect and collaborate!

Experience

1 yr

Total Experience

1 yr

Average Tenure

Current Experience

Cisco

Network Consultant Engineer

Nov 2022 – Nov 2023 · 1 yr · Bengaluru, Karnataka, India

Developed a Python-based machine learning model to predict ISO router and switch bugs, improving prediction accuracy by 30%, reducing critical bug incidents, and cutting manual effort by 25% through automation.
Automated deployment, UAT, regression testing, and defect tracking, improving operational efficiency and release reliability.
Performed root cause analysis on high-severity network issues and implemented configuration fixes, reducing critical customer issues by 15%.
Collaborated with Customer Experience (CX) and Business Critical Services (BCS) Automation teams to gather requirements and streamline network operations using Python-based automation.
Applied data preprocessing and validation techniques to ensure reliable bug estimation and actionable network insights.

PythonMachine LearningAutomationData PreprocessingRoot Cause Analysis

Smart bridge educational services pvt. ltd.

Data Science Intern

May 2021 – Jul 2021 · 2 mos

Built a time-series forecasting model using Prophet (Python) to predict car sales and support pricing and investment decisions.
Conducted exploratory data analysis (EDA) on historical sales data to identify seasonal trends, anomalies, and demand patterns.
Cleaned and preprocessed raw datasets to ensure data quality and forecasting accuracy.
Delivered actionable insights to stakeholders to support data-driven business planning.

PythonExploratory Data AnalysisData CleaningTime-Series ForecastingData Science