Motivated BCA graduate with hands-on experience in Python, data analytics, and Azure Cloud. Skilled in data analysis, visualization, and developing AI-based applications.
TENCON INFRA
3 mos
Completed a comprehensive internship focused on Microsoft Azure cloud platform. Gained hands-on experience and in-depth understanding of : Cloud concepts, terminology, and Azure fundamentals. Azure networking, virtualization, and storage services. Azure CLI and Resource Manager (ARM) deployment. Identity and Access Management (IAM) and Azure Kubernetes Services (AKS). Server less computing with Azure Functions and monitoring services.
ADITYA DEGREE COLLEGE INTERNSHIP PROGRAM
12/2025 – 03/2026 · Tuni, Andhra Pradesh
Performed data analysis using Pandas, NumPy, Matplotlib, and Seaborn; conducted Exploratory Data Analysis to identify patterns and trends; developed bar charts, histograms, and scatter plots; used Jupyter Notebook for data processing; improved understanding of data cleaning, analysis, and visualization techniques.
TENCON INFRA
15/04/2025 – 15/06/2025
Completed an internship focused on Microsoft Azure, gaining hands-on experience with cloud concepts, Azure fundamentals, networking, virtualization, storage services, Azure CLI, Resource Manager deployment, Identity and Access Management, Azure Kubernetes Services, Azure Functions, and monitoring services.
Bachelor of Computer Applications, Computer science
Aug 2023 - Aug 2026
12th
Aug 2022 - Aug 2023
10th
Jul 2019 - Jul 2020
Bachelor of Computer Applications (BCA)
2023 – 2026
7.0 CGPA; Tuni, Andhra Pradesh
Analyzed the TMDB movie dataset using Python, Pandas, and NumPy; performed Exploratory Data Analysis and created visualizations with Matplotlib and Seaborn; developed a content-based movie recommendation system using CountVectorizer and Cosine Similarity from Scikit-learn; implemented it in Jupyter Notebook to recommend similar movies based on genres and keywords.
Developed a real-time WhatsApp chatbot to detect phishing or malicious URLs. Integrated the Twilio WhatsApp API with a Python Flask backend, used the VirusTotal API for AI-based threat analysis, extracted URL features, and deployed the application using Ngrok or cloud hosting for live testing and real-time responses.