Anmol Sharma

Software Engineer

Delhi, India1 yr 8 mos experience
Most Likely To Switch

Key Highlights

  • Strong foundation in Mathematics and Computing.
  • Hands-on experience in Machine Learning and Data Analysis.
  • Proven ability to recommend effective marketing strategies.
Stackforce AI infers this person is a skilled candidate in Data Science and Marketing Technology.

Contact

LinkedIn

Skills

Core Skills

Machine LearningData AnalysisAnomaly Detection

Other Skills

Analytical SkillsC (Programming Language)C++EconomicsEnglishFederated LearningFinanceJavaMATLABMarketing StrategiesMathematicsPattern RecognitionProblem SolvingProgramming LanguagesPython (Programming Language)

About

I am a student at IIT Delhi, currently in my final year in Mathematics and Computing Branch, my interests primarily lie in the areas of Quantitative Finance, Machine Learning and Algorithms. I have a good working knowledge of programming languages like C++, C, Java and Python. I have done my internship at Adobe Research Bangalore.

Experience

Indian institute of technology, delhi

2 roles

Teaching Assistant

Jan 2025 – Present · 1 yr 2 mos

  • TA for the course MTL-145 (Number Theory)

Teaching Assistant

Jul 2024 – Jan 2025 · 6 mos

  • TA for the course MTL - 783 (Theory of Computation)

Adobe

Research Intern

May 2024 – Jul 2024 · 2 mos · Bengaluru, Karnataka, India · On-site

  • Worked on recommending marketing strategies by using LLMs and Tabular Customer Data .
Machine LearningMarketing StrategiesData Analysis

Indraprastha institute of information technology, delhi

Research Intern

May 2022 – Jul 2022 · 2 mos

  • I worked on Anomaly Detection using VAE's (Gaussian and Student-t VAE's) in Federated Settings under Prof. Ranjitha Prasad.
Anomaly DetectionVariational AutoencodersFederated LearningMachine Learning

Education

Indian Institute of Technology, Delhi

Bachelors and Master of Technology - BTech and MTech(Dual) — Mathematics and Computer Science

Jan 2020 – Jan 2025

Hansraj Model School - India

Jan 2008 – Jan 2020

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