Aditya Nain

Data Scientist | Machine Learning Engineer

LinkedIn | GitHub | Email | Phone

[email protected]

+919610729029

Bengaluru, IN

About

Highly analytical and results-driven B.Tech graduate specializing in Data Science and Machine Learning, graduated in May 2025. Proven ability to develop and deploy advanced models for financial analysis, natural language processing, and audio-based emotion recognition, significantly improving system efficiency and prediction accuracy. Eager to leverage expertise in Python, deep learning frameworks, and data engineering to drive impactful solutions in a dynamic tech environment.

Work Experience

Data Science Intern

Xploremate

Sep 2024 - Dec 2024

Remote, N/A, IN

Optimized backend systems for financial data retrieval and refined query understanding, significantly enhancing user experience and data accuracy.

  • Developed backend modules in Python using REST APIs to fetch stock data, reducing data retrieval time by 20%.
  • Achieved an 87% F1-score in intent classification by fine-tuning spaCy with rule-based preprocessing and TF-IDF features.
  • Built robust pipelines to collect 100K+ financial reports for 15K+ companies, ensuring 98% data accuracy and integrity.
  • Optimized backend integration to enable 95% real-time query success for live stock prices and financial metrics.

Summer Research Intern

RGIPT

May 2024 - Jul 2024

N/A, N/A, IN

Engineered and optimized pair trading strategies using hybrid models and smart trade execution, boosting prediction accuracy and profit.

  • Engineered BiLSTM, Transformer, N-BEATS, and TCN models for pair trading, boosting prediction accuracy by 25%.
  • Formulated a hybrid strategy blending mean reversion and forecasts, raising profit-per-trade by 30% (F1: 0.781).
  • Assessed model performance rigorously using RMSE, MASE, and MAPE, with the Transformer Hybrid Strategy demonstrating superior results.

Education

Mathematics and Computing

Rajiv Gandhi Institute of Petroleum Technology

7.36/10

Nov 2021 - May 2025

Bengaluru, Karnataka, IN

Courses

  • Statistical Methods and Data Analysis
  • Numerical Methods
  • Optimization Methods
  • Design and Analysis of Algorithms
  • Graph Theory
  • Soft Computing
  • Big Data Analytics
  • Theory of Computation
  • Computer Vision and Pattern Recognition
  • Deep Learning
  • Data Mining
  • Artificial Intelligence and Machine Learning

Projects

redBus Data Decode Hackathon 2025

Jun 2025 - Jun 2025

Achieved a top 50 ranking in the redBus Data Decode Hackathon 2025 by developing an advanced ensemble forecasting model to predict bus seat demand.

Code Generation using Probabilistic Information Retrieval

Feb 2025 - Mar 2025

Engineered an advanced algorithm for Probabilistic Information Retrieval, enabling efficient code generation directly from natural language queries.

Emotion Recognition from Audio

Jan 2024 - Apr 2024

Developed a fast and highly accurate emotion recognition system leveraging CNN-LSTM and audio feature fusion, optimized for edge device deployment.

Skills

Programming & Tools

  • Python
  • C++
  • SQL
  • Bash
  • Git
  • Docker
  • AWS
  • GitHub Actions

Libraries & Frameworks

  • Scikit-learn
  • TensorFlow
  • Keras
  • PyTorch
  • NLTK
  • SpaCy
  • Optuna
  • Beautiful Soup
  • Requests
  • Selenium
  • BiLSTM
  • Transformer
  • N-BEATS
  • TCN
  • Hugging Face (BERT)
  • SentenceTransformers
  • LibROSA
  • SciPy
  • ONNX
  • LGBM
  • XGBoost
  • Ridge

Data Handling & Visualization

  • Pandas
  • NumPy
  • Matplotlib
  • Seaborn
  • Plotly
  • pyLDAvis
  • SQLite
  • Excel
  • Statsmodels

Machine Learning & AI

  • Deep Learning
  • Natural Language Processing (NLP)
  • Computer Vision
  • Artificial Intelligence
  • Data Mining
  • Ensemble Modeling
  • Feature Engineering
  • Model Evaluation (RMSE, MASE, MAPE, F1-score, R2)
  • Time Series Forecasting
  • Intent Classification
  • Emotion Recognition
  • Code Generation
  • Probabilistic Information Retrieval
  • Pair Trading Strategies