Aakansha Jain

Aakansha Jain

Results-driven Postgraduate seeking roles in AI and Data Science
India
Rajasthani

نبذة عني

Results-driven Postgraduate seeking roles in AI and Data Science

الخبرة

AI Intern

Fynd · Mumbai
Dec 2026

<p>Fine-tuned the PanEcho foundation model using PyTorch to automate Left Ventricular Ejection Fraction estimation; validated the pipeline on the EchoNet-Dynamic dataset to maintain prediction accuracy.<br>
Built a script to handle raw DICOM files, extracting and normalizing ECG signals into structured NumPy arrays and PyTorch tensors for model training.<br>
Mapped LVEF estimation as a 1D CNN Regression problem, focusing on the relationship between signal-based features and actual percentages.<br>
Applied stratified sampling during data splits to maintain a balanced correlation across the full range of heart failure, preventing model bias toward "normal" function cases.</p>

Intern

Sarjen Infotech · Ahmedabad
Jun 2021 - Jul 2021 · 1 شهر

<p>Built a PDF data extraction tool using OCRmyPDF and PyTesseract to automate the tedious process of pulling info from scanned documents.<br>
Wrote parsing scripts with Pandas and NumPy to clean up the messy OCR output, turning raw text into structured data.</p>

intern

Cognizant · Remote

<p>Built and managed Selenium automation scripts to handle repetitive regression and functional testing for the IRCTC portal.<br>
Focused on end-to-end user flows, catching critical bugs in the frontend and ensuring REST API responses were consistent before shipping updates.</p>

Intern

Vedanta · Udaipur

<p>Developed a real-time zinc leaching dashboard by pulling OSPiP sensor data via SQL to give full view of the production line.<br>
Used Power BI and Tableau to automate production metrics, cutting out manual data entry and making it easier to spot process bottlenecks.</p>

المهارات

Python SQL Machine Learning Natural Language Processing Deep Learning Large Language Models PyTorch TensorFlow LangChain Langfuse Langraph Agents Scikit-learn Pandas NumPy PySpark Generative AI Retrieval-Augmented Generation (RAG) Text Embeddings Prompt Engineering A/B Testing Statistical Analysis Time Series Text Classification Named Entity Recognition Vector Databases Transformers Sentiment Analysis BERT Data Analytics Data Visualization Regression Classification Hyperparameter Tunning Tableau Model Evaluation Probability And Statistics Hypothesis testing Finetuning Predictive Modeling Selenium REST API Power BI OCRmyPDF PyTesseract ChromaDB ReAct Streamlit YOLOv8 XGBoost
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