Saamarth Sharma

Machine Learning Engineer

Delhi, India0 mo experience

Key Highlights

  • Strong foundation in data science and machine learning.
  • Developed impactful sales prediction model during internship.
  • Keen interest in technology and finance intersection.
Stackforce AI infers this person is a Data Science and Machine Learning enthusiast with a focus on Fintech applications.

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Skills

Core Skills

Data ScienceMachine Learning

Other Skills

Data AnalysisData PreprocessingExploratory Data AnalysisFeature EngineeringModel EvaluationMicrosoft ExcelStatistical AnalysisQuantitative ResearchSql liteBootstrap (Framework)Cascading Style Sheets (CSS)HTMLFull-Stack DevelopmentPython (Programming Language)

About

I am a Computer Science and Technology student at Maharaja Agrasen Institute of Technology with a strong interest in data science and machine learning. I have completed a 3-month Data Science internship at Excitel Broadband, where I developed a machine learning–based sales prediction model. This experience strengthened my skills in data preprocessing, exploratory data analysis, feature engineering, and model evaluation, enabling data-driven insights to support business decision-making. I have a solid foundation in computer science fundamentals and data science methodologies, with a particular interest in applying machine learning to real-world problems. I am also keenly interested in the intersection of technology and finance, including FinTech, quantitative finance, and algorithmic trading. I thrive in collaborative, fast-paced environments and am eager to contribute to impactful, data-driven projects.

Experience

Excitel broadband

Data Science Intern

Nov 2025Jan 2026 · 2 mos · On-site

Data AnalysisMachine LearningData PreprocessingExploratory Data AnalysisFeature EngineeringModel Evaluation+1

Education

Maharaja Agrasen Institute Of Technology, Delhi

Bachelor of Technology - BTech — Computer Science

Aug 2023Sep 2027

San Francisco State University

Summer Course: Decision Science 312 — Data Analysis using Computer Application

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