Aditya Pingat

Data Scientist @ Bristlecone

About

A curiosity-driven data scientist, eager to leverage machine learning, Deep Learning and data analytics to extract meaningful insights, make informed decisions and solve challenging business problems. I ensure to contribute with my knowledge, logical thinking and analytical skills towards the consistent growth and development of the organization, and enhance my experience through continuous learning and teamwork. I have also preferred skills like python, Machine Learning algorithms such as Classification, Regression, Decision Tress, Association Methods, Time Series Modelling, Ensemble Methods, NLP, Deep Learning. Also have an experience working on OCR (Optical Character Recognition) Technology.

Country

India

City

Pune

Industry

Higher Education

Skill

Amazon Web Services (AWS), Generative AI, Large Language Models (LLM), Artificial Intelligence (AI), Python (Programming Language), Machine Learning, Supervised Learning, Exploratory Data Analysis, Deep Learning, Natural Language Processing (NLP), Predictive Analytics, MySQL, Data Science, Data Analysis, Tableau, Java, Analytical Skills, Soft Skills

Experience

Data Scientist

Bristlecone

2021-12 - Present · 4 yrs 10 mos

Pune, Maharashtra, India

I have an experience working on an Optical Character Recognition (OCR) technology based product called Document AI. This product aimed to create an automated solution for digitizing various types of documents, including invoices, text documents, bills, etc. It involved the extraction of complex information based on client requirements. During this project, utilized several technologies, including Python ,Postgres SQL, NLP, Deep Learning, FlaskAPI, Additionally, leveraged various Amazon Web Services such as Lambda, S3 buckets, Cloudwatch, SQS services, and API Gateway to enhance the functionality of the system. Worked with Large Language Models (LLM), specifically those provided by OPEN AI and Hugging Face. Used Langchain framework to create a chatbot capable of engaging in conversations with PDF documents and extracting information in response to user prompts. Worked on internal projects for building predictive and decision models using Machine Learning algorithm for various business study cases.

Data Scientist Intern

Innodatatics - GenAI | Data Science | BI | Advanced Up-Skilling

2021-4 - 2021-10 · 7 mos

Building predictive and decision models using Machine Learning algorithm for various business study cases. EDA, Feature engineering Built various regression and classification algorithms such as Linear Regression , Decision Tree , Random Forest, XGBoost and SVM. Deployed the machine learning model using Flask API.