HEMANT KUMAR OJHA
Summary
Data Analysis Intern – Analysis of Global Tides, 05/2024 - 07/2024.
IIT Kharagpur | Prof. Narita Pal
- Analyzed tidal data from netCDF files to extract elevation stats across multiple resolutions (360x180, 720x180, 3600x1800) for 15 tidal constituents.
- Visualized tidal elevation amplitude at z nodes and phase hp superimposed on amplitude ha using contours.
- Technologies used: NumPy, Pandas, Matplotlib, Xarray, netCDF4, Cartopy.
Overview
1
1
year of professional experience
1
1
Certification
Work History
Sea-Surface CO₂ Prediction Using Advanced ML
MTP | IIT Kharagpur | Prof. M. K. Dash
08.2024 - 04.2025
- Predicted pCO₂ and fCO₂ using XGBoost (DMatrix API) on SOCAT datasets, analyzing CO₂ dynamics at various missing data rates ranging from 15% to 90% for the Arabian Sea & Bay of Bengal.
- Technologies used: NumPy, Pandas, Matplotlib, Seaborn, Cartopy, Shapely, GeoPandas, Scikit-learn, XGBoost.
BCG Data Science Job Simulation on Forage
BCG X
03.2025 - 03.2025
- Built a comprehensive ML pipeline utilizing Random Forest (achieving 90% accuracy) for churn prediction using client and price datasets.
- Technology used: NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, and Random Forest.
Port Operations Automation | CNN + MobileNetV2
Deep Learning | IIT Kanpur
01.2025 - 02.2025
- Developed a CNN to classify nine types of boats, achieving 76.29% accuracy.
- Optimized with MobileNetV2 for mobile deployment, improving accuracy to 97.12% with early stopping over 50 epochs.
- Technologies used: NumPy, Matplotlib, TensorFlow, Keras, Max Pooling, Global Average Pooling, Early Stopping, Dropout, Batch Normalization, MobileNetV2.
Employee Turnover Analytics
Machine Learning | IIT Kanpur
11.2024 - 12.2024
- Built three ML models using Logistic Regression, Gradient Boosting Machine, and Random Forest (achieved 99.2% accuracy) to classify left (or stay) employees using SMOTE-balanced HR data, and derived retention strategies from clustering.
- Technologies used: Numpy, Pandas, Matplotlib, Seaborn, K-Means Clustering, Scikit-learn, Imbalanced-learn, SMOTE, Logistic Regression, GBM, Rabdom Forest.
Education
M.TECH - Earth System Science and Technology
Indian Institute of Technology, Kharagpur
04-2025
Master of Science - Mathematics
Nalanda Open University
Patna12-2021
B.Sc.(Hons) - Mathematics
Nalanda Open University
Patna05-2018
Skills
- Languages and DBMS: Python, SQL
- ML Tools: Scikit-Learn, SVM, KNN, Decision Trees, Random Forest, AdaBoost, Gradient Boosting, Regularization, Stacking
- DL Tools: DNN, CNN, RNN, LSTM, GRU, Autoencoder, GANs, VAE, Transformers
- Computer Vision Tools: OpenCV, YOLOv5, VGGNet, MobileNetV2
- LLMs & NLP: BERT, Transformers, OpenAI API
- Frameworks: XGBoost, CatBoost, Tensorflow, Keras, Pytorch
- Platforms: VS Code, Spyder, JupyterLab
Certification
- Generative AI and Machine Learning | IIT Kanpur
- Certificate of Proficiency in Python, Finlatics
Accomplishments
Organizer | Entrepreneurship Cell | IIT Kharagpur
• Secured Second position in StartUp BootCamp 6.0 Pitch Deck Competition and won INR 25,000
Timeline
BCG Data Science Job Simulation on Forage
BCG X
03.2025 - 03.2025
Port Operations Automation | CNN + MobileNetV2
Deep Learning | IIT Kanpur
01.2025 - 02.2025
Employee Turnover Analytics
Machine Learning | IIT Kanpur
11.2024 - 12.2024
Sea-Surface CO₂ Prediction Using Advanced ML
MTP | IIT Kharagpur | Prof. M. K. Dash
08.2024 - 04.2025
M.TECH - Earth System Science and Technology
Indian Institute of Technology, Kharagpur
Master of Science - Mathematics
Nalanda Open University
B.Sc.(Hons) - Mathematics
Nalanda Open University
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