Open to opportunities

Jeet kachhela

@jeetkachhela

Message

Aspiring Data Scientist and Data Analyst turning complex data into actionable insights.

India

Message

What I'm looking for

I’m looking for opportunities where I can use Python, SQL, NLP, and ML to turn complex data into actionable insights, build reliable preprocessing pipelines, and communicate results through clear dashboards and visualizations while growing as a Data Scientist.

I’m an aspiring Data Analyst/Data Scientist skilled in Python, SQL, and data visualization, and I enjoy turning complex data into actionable insights. I’m building my foundation through my B.Tech Information Technology (Major: Artificial Intelligence | Minor: Machine Learning) and multiple Coursera certificates in Google Data Analytics, Advanced Data Analytics, Business Intelligence, and IT Automation with Python.

In projects like Cryptovol and AnomaScope, I’ve applied time-series forecasting, statistical models, and ML-based anomaly detection, then delivered results through visualizations and dashboards. As a Machine learning intern at SimplifyPI, I built an AI system for medical chronologies using NLP for entity recognition, event sequencing, and timeline extraction; and as a Data Analyst Trainee at MedTourEasy, I developed a classification model for donor eligibility prediction and visualized donation trends to support decision-making.

Experience

Work history, roles, and key accomplishments

Machine Learning Intern

SimplifyPI

Jan 2025 - Apr 2025 (3 months)

Built an AI system to generate medical chronologies from unstructured clinical records. Applied NLP for entity recognition, event sequencing, and timeline extraction, and automated medical PDF report creation using preprocessing and classification pipelines.

Python NLP Timeline Extraction data preprocessing Machine Learning Document Automation Classification

Data Analyst Trainee

MedTourEasy

Aug 2025 - Present (10 months)

Developed a machine learning model to predict potential blood donors and assess donor eligibility. Preprocessed health and demographic datasets and visualized donation trends and prediction results.