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AI Engineer with 4+ years in Data Analytics & Machine Learning
Data Analyst and AI-focused Data Science undergraduate with practical experience in business intelligence, data visualization, machine learning, and full-stack application development. Skilled in transforming complex datasets into actionable insights using SQL, Power BI-style analytical workflows, dashboard systems, and modern data visualization techniques. Experienced in building scalable data-driven applications, designing analytical reporting systems, and optimizing data pipelines for performance and usability. Proficient in Python, SQL, TypeScript, JavaScript, data modeling, dashboard analytics, REST APIs, and cloud-integrated application workflows. Strong understanding of enterprise data systems, reporting automation concepts, and analytical problem-solving with experience collaborating across technical and non-technical domains. Passionate about leveraging AI, analytics, and modern business intelligence technologies to support enterprise decision-making and digital transformation initiatives.
Bachelor of Science in Data Science
Bachelor of Science · Data Science
N/A – June 30, 2026
Independent Digital Content Production
Creative Media & Technical Content Producer
January 1, 2023 – Present
India
Independent Technical Projects & Research Work
Data Analytics & AI Research Projects
January 1, 2022 – Present
India
Interactive Data Visualization Platform
January 1, 2022 – June 30, 2026
Designed and developed an interactive analytics and dashboard platform for dataset visualization and reporting. Implemented dynamic dashboards, chart rendering systems, and data interaction workflows. Built data upload, transformation, and analytical visualization functionalities for business-style reporting experiences. Focused on dashboard usability, analytical insights presentation, and scalable frontend architecture. Applied data cleaning and structured visualization approaches for effective reporting workflows.
EEG Seizure Detection System
January 1, 2022 – June 30, 2026
Built a deep learning-based EEG seizure detection model using Convolutional Neural Networks. Processed and segmented EDF EEG datasets into seizure and normal activity classes. Achieved approximately 87% classification accuracy through preprocessing and optimized model training. Applied signal processing techniques and model evaluation methodologies for healthcare-related AI analysis.
doc_scanner
January 1, 2022 – June 30, 2026
Developed a high-performance offline document scanner Android application using Flutter. Implemented OCR-based text extraction and PDF generation workflows. Designed the application as an open-source alternative to CamScanner with privacy-focused offline functionality. Optimized mobile scanning performance and document processing efficiency.
AI Real Estate Platform
January 1, 2022 – June 30, 2026
Developed an AI-focused real estate application using modern TypeScript technologies. Built scalable frontend structures and responsive user interfaces. Focused on intelligent property interaction workflows and modern application architecture.
Synthetic Data Augmentation Experiment
January 1, 2022 – June 30, 2026
Conducted a comparative machine learning experiment to evaluate the impact of synthetic data augmentation on predictive model performance. Evaluated 5 datasets including Titanic, Adult, Breast Cancer, Wine, and Diabetes using Logistic Regression, Random Forest, and XGBoost models. Generated synthetic samples using lightweight Gaussian noise augmentation techniques across multiple synthetic data ratios. Observed that small synthetic ratios (5–10%) improved generalization and acted as effective regularization for several models. Identified performance degradation trends at higher synthetic ratios due to signal dilution and distribution distortion. Analyzed model sensitivity differences, showing Logistic Regression maintained stable performance while XGBoost demonstrated higher sensitivity to synthetic noise. Produced performance heatmaps and comparative analytical visualizations to validate findings across datasets.
AI Wardrobe Recommendation System
January 1, 2022 – June 30, 2026
Built an AI-powered wardrobe assistant application for intelligent outfit recommendations. Integrated CLIP-based AI models with FastAPI backend services. Developed responsive cross-platform interfaces using Flutter. Implemented recommendation workflows for personalized fashion suggestions.
LIFE-OS Productivity System
January 1, 2022 – June 30, 2026
Created a production-ready habit tracking and productivity SPA using vanilla JavaScript. Implemented analytics dashboards, progress tracking, and interactive visual reporting. Built a lightweight zero-build-step architecture optimized for performance and simplicity. Applied clean UI/UX principles for productivity-focused digital experiences.
Distributed Scientific Data Processing System
January 1, 2022 – June 30, 2026
Engineered a distributed multithreaded scientific processing system in C++. Implemented priority queues, load balancing, and thread-safe logging mechanisms. Optimized concurrent task execution and computational resource management. Applied systems programming principles for scalable scientific workloads.
Cultural Fit Analysis
The candidate's portfolio showcases a strong passion for AI and data science, aligning well with an AI Engineer role. The diversity of personal and academic projects (AI, mobile, data visualization, distributed systems) indicates a broad interest and willingness to explore different technical domains. Their open-source contributions and focus on practical, privacy-focused solutions (doc_scanner) suggest a value for innovation and user-centric design. However, the lack of traditional corporate experience might require some adjustment to established team dynamics and processes.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative through independent projects and research, indicating self-motivation and a proactive approach. Their experience in technical content creation suggests good communication and the ability to explain complex topics. The project descriptions highlight an iterative development approach and focus on usability, which aligns with agile methodologies. However, without direct team experience in a corporate setting, the extent of their collaboration and stress handling in a structured environment is not explicitly demonstrated.