Ani Chitransh | AI-Driven Histopathology Analysis for Early Cancer Detection

Ani Chitransh

Data Scientist/Analyst/ML Engineer proficient in data modeling, AI, NLP & Deep Learning.

Based in Tucson

About

●Data Scientist with over 5+ years of experience in predictive modeling, data integration, & analytical reporting, leveraging Python, R, SAS, & SQL along with data science tools like pandas, Scikit-Learn, and NumPy, facilitating Excel & Tableau in business operations and data-driven decision-making by 20%. ●Working experience with data warehousing & ETL pipelines using Hadoop, Hive, AWS RedShift, Spark, & Airflow, enhancing data extraction & manipulation efficiencies across cloud platforms including Azure, Google cloud up to 15%. ●Proficient in implementing machine learning, Gen AI & NLP techniques such as A/B testing, time series, regression models,& gradient boosting, improving predictive accuracy.

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AI-Driven Histopathology Analysis for Early Cancer Detection

Skills

About this project

Develop an advanced artificial intelligence (AI) system that leverages deep learning techniques to detect and classify cancerous cells in histopathology images at an early stage to reduce diagnostic times and increase the accuracy of cancer diagnoses by automating the detection process.