Balagouda Desai
AI Engineer Internship in DelhiAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer Internship in Delhi with less than a year in Data Processing & ML
Aiming to contribute skills in data analysis, machine learning, and AI development to real-world projects. Seeking roles in AI/ML, Data Engineering, or Data Analytics where I can build intelligent, data-driven applications, support development activities, collaborate with teams, and grow professionally in a dynamic environment. Data Analytics Intern with hands-on experience in data processing, analysis, and visualization using Python (Pandas, NumPy), Power BI, and SQL, with a track record of optimizing workflows and reporting for business impact. Proven expertise in machine learning techniques, including Random Forest and KNN, demonstrated through projects like crop yield prediction and AI for cybersecurity threat detection, with a focus on model accuracy and real-world application. Strong capability to build interactive dashboards and visual reports, presenting complex data insights clearly for decision-making, and leveraging Power BI and Matplotlib for effective data visualization. Solid understanding of AI model development and deployment, with experience creating Flask-based applications to integrate machine learning models into real-time user applications.
Visvesvaraya Technological University
MCA
August 1, 2023 – June 30, 2025
SJPN Trust's BCA College
BCA
August 1, 2020 – June 30, 2023
Leosias Technologies
Data Analytics Intern
November 1, 2024 – January 1, 2025
India
AI CRM HCP Interaction System (Latest Project)
January 1, 2025 – June 1, 2026
Developed an AI-powered CRM system to log and manage healthcare professional interactions using natural language. Implemented 5 intelligent tools: Log Interaction, Edit Interaction, Summarize, Suggest Next Action, and Clear Form. Used LangGraph and Groq LLM to extract structured data such as doctor name, topic, sentiment, and date. Built full-stack application using FastAPI (backend) and React with Redux (frontend).
AI for Cyber Security Threat Detection
January 1, 2025 – June 1, 2026
Built a Flask-based web application to detect malicious files and URLs using ML models (Random Forest, Logistic Regression) integrated with Gemini AI. Developed features like user login, scan history, and auto-alert emails to enhance security.
Crop Yield Prediction – Data Analytics with Python
January 1, 2025 – June 1, 2026
Created ML models using Random Forest and KNN to predict crop yields and rainfall with high accuracy. Performed data preprocessing, model training, and visualization for actionable insights.
Data Analytics using Python
Leosias Technologies
January 1, 2025 – Present
Cyber Security Virtual Program
MasterCard (Forage)
December 1, 2024 – Present
Power BI Job Simulation
PwC Switzerland (Forage)
September 1, 2024 – Present
Software Testing
NPTEL
July 1, 2024 – October 1, 2024
Cultural Fit Analysis
The candidate's academic projects show a strong interest in diverse applications of AI, from cybersecurity to healthcare CRM and agricultural analytics. This breadth of interest, combined with certifications in Power BI and Cyber Security, indicates a proactive learning attitude and a willingness to explore different domains. The target role of 'AI Engineer Internship' aligns well with the candidate's current academic focus (MCA) and project experience, suggesting a good cultural fit for an organization that values continuous learning and practical application of AI.
Soft Skills & Operational Fit
The candidate's resume highlights strong communication, self-motivation, a positive attitude, and adaptability. These soft skills are crucial for an internship role, enabling effective collaboration and rapid learning within a dynamic AI engineering environment. The academic projects demonstrate an ability to work on complex problems and integrate various technologies, suggesting a good operational fit for project-based work.