Projects

All Projects

Complete project catalog with major builds, hackathon work, and learning projects.

Stock market forecasting with deep time-series models.

Built an end-to-end forecasting system over 1M+ market data points with automated retraining and 30% faster inference.

Time-SeriesTransformersMLOps
  • Feature-engineered forecasting pipeline for noisy financial signals
  • Automated evaluation, retraining, and drift checks
  • Deployment-focused optimization for low-latency serving

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Scoped to ForesightX: The Future Has Signals. We Decode Them.

Transformer-based classification and anomaly detection.

Achieved 91.3% F1 on MIT-BIH/PTB benchmarks with near real-time inference under 150ms per segment.

Deep LearningSignal ProcessingTransformers
  • Dual-model architecture for anomaly detection + rhythm classification
  • Custom ECG preprocessing and multi-label supervision
  • Inference path designed for clinical-style latency constraints

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Scoped to Deep ECG Signal Analysis

Drone-integrated waste detection with YOLO.

Built a drone-assisted detection and routing workflow that streamlines waste monitoring and cleanup operations.

Computer VisionAutomationSystem Design
  • Drone image ingestion pipeline for field conditions
  • YOLO-based object detection integrated with backend workflows
  • Geo-mapped outputs to support operational decisions

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Scoped to BinSavvy: Smart Waste Management System

Coach tracking, food discovery, and trip planning.

Developed a full-featured travel assistant web app focused on real-time utility and reliable fallback behavior.

Full-StackProduct EngineeringUX
  • Built coach tracking and trip planning flows end-to-end
  • Integrated public schedule and station datasets
  • Shipped user-focused interfaces for quick mobile usage

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Scoped to MargDarshak-Mitr: Railway Travel Assistant

Predict GPA and stress levels using lifestyle signals.

Built a 2,000-record data science pipeline with feature engineering, cross-validation, and regression modeling.

Data ScienceRegressionModel Evaluation
  • Structured preprocessing and feature engineering workflow
  • Compared Linear Regression, Random Forest, and SVR
  • Produced interpretable insights for stakeholder communication

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Scoped to Student Lifestyle and Academic Performance Predictor

Cuisine popularity prediction over 10,000+ records.

Implemented an end-to-end analytics and modeling pipeline with ~92% classification accuracy.

Data AnalyticsClassificationVisualization
  • Processed and analyzed 10,000+ global restaurant records
  • Trained Random Forest and XGBoost models for cuisine popularity
  • Built trend visualizations for city-wise and rating-based insights

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Scoped to Restaurant Data Analytics & Cuisine Popularity Prediction

Interactive two-player chess with core mechanics.

Strengthened software engineering fundamentals through object-oriented game-state modeling.

Software EngineeringOOPProblem Solving
  • Implemented piece movement and turn-based game flow
  • Modeled board state and rule validation logic
  • Designed clean class-based architecture for maintainability

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Scoped to Chess Game - Two-Player Board Game

Contact Me

Let's connect

Have a project in mind or want to discuss opportunities? I’d love to hear from you.

I’m open to software engineering, data science, and ML engineering roles — and new collaborations.

aditya.pratap.singh.tomar.1082006@email.com+91-78982-92920Jabalpur, Madhya Pradesh, India (open to remote)