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Entry-level Data Analyst with AI/ML and Full-Stack Development skills
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Assessing your cultural and operational fit
Results-driven Computer Science undergraduate at VIT Chennai with hands-on experience building and deploying ML models, performing end-to-end data analysis, and developing full-stack applications. Completed 6+ months of AI/ML internship experience working with Python, TensorFlow, and Scikit-learn. Proficient in SQL, Python, and data visualization — seeking an entry-level Data Analyst role to drive data-informed decisions.
VIT Chennai
B.Tech · Computer Science Engineering
N/A – Present
Narayana Junior College
12th Standard
N/A – Present
Narayana High School
10th Standard
N/A – Present
Pratinik Infotech
Python Intern
September 1, 2025 – October 1, 2025
India
Labmentix
AI & ML Intern
June 1, 2025 – December 1, 2025
India
Fire Detection & Extinguishing Robot
January 1, 2026 – June 1, 2026
Programmed an autonomous Arduino-based robot integrating real-time flame sensor data with a relay-controlled water pump, achieving sub-second detection-to-response latency.
Calories Burnt Prediction Model
January 1, 2026 – June 1, 2026
Built a regression model with XGBoost to predict calorie expenditure from activity data, applying feature engineering techniques that improved prediction accuracy. Performed full EDA using Pandas — identified key correlating features, removed outliers, and validated model performance using cross-validation and RMSE metrics.
College Placement System
January 1, 2026 – June 1, 2026
Designed and deployed a full-stack recruitment portal managing student registrations, company listings, and placement offer workflows for 100+ simulated users. Built normalized MySQL schema with relational integrity across 5+ tables; implemented backend APIs in Django handling authentication and offer letter generation.
Intelligent Pesticide Spraying Mechanism
January 1, 2025 – January 1, 2026
Engineered a Raspberry Pi 4B-based automated crop inspection & spraying system integrating U-Net deep learning segmentation across 7 tomato disease classes, enabling objective and quantitative disease detection. Reduced pesticide usage by up to 97% — calculated spray volume as low as 0.273 ml per diseased plant vs. 10 ml uniform application — through an adaptive variable-rate spray formula. Delivered end-to-end plant analysis and spraying in ~8 seconds per plant (peak 220 MB RAM) via a 7-phase modular pipeline combining deep learning and classical CV (HSV/LAB color spaces, Laplacian variance focus detection). Cut hardware costs by 75–90% (~₹10,000 build cost vs. 5–20 lakh commercial NDT systems), supporting precision agriculture and UN SDG 12 sustainability goals.
IBM DevOps Fundamentals
IBM
June 1, 2026 – Present
Oracle Cloud Infrastructure
Oracle
June 1, 2026 – Present
Oracle AI Foundations
Oracle
June 1, 2026 – Present
Agile & Design Thinking
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from precision agriculture and robotics to ML prediction models and full-stack web development, indicates a broad interest and adaptability. The target role of 'Data Analyst' aligns well with the candidate's core competencies in analytics, ML/AI, and visualization, as well as their internship experience. The focus on impactful projects (e.g., UN SDG 12) suggests a potential alignment with organizations valuing social responsibility. The breadth of skills and technologies used across projects demonstrates a willingness to learn and apply diverse tools, which is beneficial for dynamic team environments.
Soft Skills & Operational Fit
The candidate lists problem-solving, communication, teamwork, and time management as soft skills. Project descriptions indicate an ability to work independently (e.g., 'Independently researched and implemented supervised learning algorithms') and collaboratively ('Collaborated with senior engineers'). The focus on efficiency and cost reduction in projects (e.g., 'Reduced pesticide usage by up to 97%', 'Cut hardware costs by 75–90%') suggests a results-oriented mindset. The academic projects demonstrate initiative and practical application of theoretical knowledge.