Hansag Gupta

Data Scientist

Saraswati Vihar, Delhi, India0 mo experience

Key Highlights

  • Strong expertise in machine learning and data analytics.
  • Proficient in Python and deep learning frameworks.
  • Passionate about leveraging AI for real-world solutions.
Stackforce AI infers this person is a data scientist specializing in Fintech and AI-driven analytics.

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Skills

Core Skills

Machine LearningData Analysis

Other Skills

C (Programming Language)C++EnglishFinancial AnalysisFrenchHindiProgramming LanguagesPythonSQLSnowflake

About

I am a passionate and motivated data scientist with a background in Computer Science engineering from Delhi Technological University. Through my academic journey and hands-on internship experiences, I have developed strong problem-solving skills and expertise in data analytics, machine learning, and deep learning models. My goal is to leverage AI and machine learning to solve real-world problems and drive meaningful business insights. With proficiency in Python, deep learning frameworks like TensorFlow and PyTorch, and experience in Git and cloud platforms, I am eager to collaborate on innovative projects and contribute to the growing field of AI.

Experience

Piramal capital & housing finance limited

Data Scientist

Jun 2023Jul 2023 · 1 mo · Bengaluru, Karnataka, India · On-site

  • Led data-driven projects: Communication Framework, Sequential Market Basket Analysis, CXI Analysis and Exploratory Data Analysis on EF Base using Python, SQL, JupyterHub, and Snowflake.
  • Delivered insights, optimized customer engagement strategies, and conducted predictive modeling and segmentation analysis.
  • Strengthened data preprocessing and analysis skills, overcoming data quality challenges.
Data AnalysisPythonSQLSnowflakeMachine Learning

Education

Delhi Technological University (Formerly DCE)

Bachelor of Technology - BTech — Computer Engineering (Minor in Information Technology)

Jan 2020Jan 2024

Montfort Secondary School

Mathematics and Computer Science (Non Medical)

Apr 2007May 2019

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