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My Resume. You can download it from the button right there 👉
Basics
| Name | Harshwardhan Fartale |
| Label | Electrical Engineering Student |
| harshwardhanfartale.nith@gmail.com | |
| Url | emharsha1812.github.io/ |
| Summary | B.Tech student in Electrical Engineering at National Institute of Technology, Hamirpur with experience in Machine Learning, Data Science, and Open Source contributions. |
Work
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2024.07 - Present Predoc Associate
DRDO & (IISC) Indian Institute of Science, Bangalore
Leading Open Source Projects at AiREX (AI for Research and Engineering eXcellence) lab under Professor Sashikumaar Ganesan
- Leading Open Source Projects at AiREX lab under Professor Sashikumaar Ganesan
- Developing comprehensive Machine Learning (ML) systems for CASDIC's combat aircraft applications
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2024.01 - 2024.06 Data Scientist
Bajaj Finserv Health
Designed and implemented a high-performance statistical model for fraudulent transaction prediction, achieving the highest abuse detection rate among all models
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2023.06 - 2023.07 Machine Learning Intern
IIT Indore
Developed ML models predicting stock prices using Python, achieving 85% accuracy
- Developed ML models predicting stock prices using Python, achieving 85% accuracy. Incorporated news and market data to improve forecasts
- Implemented time series analysis and feature engineering, boosting model accuracy by 25%. Enabled data-driven decision making
- Collaborated with Professor Vimal Bhatia on applying advanced techniques like RNNs for real-time forecasting
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2023.01 - 2023.06 Open Source Technical Writer
OpenMined
Collaborated with the writing team to improve existing user documentation and beginner tutorials in differential privacy
- Active technical writer and contributor, publishing blog posts and articles about federated learning and privacy-preserving machine learning resulting in increased product adoption
Education
Skills
| Languages | |
| Python | |
| C++ | |
| SQL | |
| Solidity |
| Python Libraries | |
| NumPy | |
| pandas | |
| Matplotlib | |
| Scikit-learn | |
| JAX | |
| OpenCV | |
| spacy | |
| YOLOV8 |
| Deep Learning | |
| Tensorflow | |
| Pytorch | |
| PySyft | |
| OpenCV | |
| Neo4j |
| Other Softwares/Platforms | |
| LaTeX | |
| MATLAB | |
| Linux Kernel | |
| Google Cloud Platform | |
| Firebase | |
| Adobe Illustrator |
| Technical Writing | |
| LLM-Blog | |
| Medium | |
| Hashnode |
Projects
- - Present
Document Tampering Detection using YOLOV8
- Built an extensive dataset of over 600 document images to train the model for accurate manipulation detection
- Designed a Streamlit-based web interface facilitating intuitive document uploads, enabling users to visualize tampering and analyze detailed results of digital forgery assessments
- - Present
Fundus AI
- Developed deep learning smartphone app for efficient ophthalmic disease screening utilizing device camera for accessible healthcare
- Designed 3D-printed smartphone accessory for capturing high-quality fundus imaging compatible with all smartphones and the application
- Technologies used: Python, Keras, Tensorflow, Flutter