Adarsh S
B.Tech AI & Data Science

AI & Data Science Graduate | Finance & Market Analytics

I build practical, data-driven solutions by applying AI, machine learning, and analytical thinking to real-world problems, backed by experience in financial markets.

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About Me

I’m an Artificial Intelligence & Data Science graduate (B.Tech, 2024) with a strong foundation in Python, machine learning, and data analysis. Alongside my technical background, I have practical exposure to financial markets through my work as an Associate Trader and an Authorised Person with Angel One.

My experience in trading and market analysis has strengthened my ability to work with uncertainty, manage risk, and make data-backed decisions — skills that translate naturally into AI, analytics, and system design. I enjoy solving complex problems, breaking them down systematically, and building efficient, real-world solutions.

I am currently focused on deepening my expertise in applied machine learning, advanced AI concepts, and scalable data-driven systems.

Experience

Associate Trader

Maxitome Management Services | May 2024 – Nov 2024

  • Built and maintained Python-based algorithmic trading systems for the F&O segment under supervision, translating market hypotheses into rule-based and data-driven strategies.
  • Analyzed historical market data to backtest trading ideas, evaluate performance metrics, and refine alpha logic across varying market conditions.
  • Integrated real-time market data and APIs to support automated order execution, portfolio monitoring, reporting workflows, and operational research through dataset validation and live strategy monitoring in time-sensitive environments.

Authorised Person

Angel One

  • Worked as a registered Authorised Person at Angel One, supporting clients across Equity and F&O segments through a data-driven, technology-enabled approach.
  • Managed client onboarding, KYC verification, and trading operations, integrating structured processes with systematic execution and regulatory adherence.
  • Applied market data analysis and Python-based tools to monitor client portfolios, evaluate trade performance, identify risk exposure, and support order execution, workflow automation, and audit-ready reporting.

Education

B.Tech in Artificial Intelligence & Data Science

Easwari Engineering College | 2020 – 2024

  • CGPA: 8.23
  • Graduated with a strong foundation in AI, ML, and Data Science fundamentals.

Featured Projects

GenAI-Linkedin-Post-Generator

A Streamlit-based application that leverages the power of Llama 3 via Groq to generate engaging LinkedIn posts. This tool uses few-shot learning to tailor posts based on selected topics, length, and language.

Streamlit LangChain Llama-3 Python

GenAI-Email-Generator

A Streamlit-based application that scrapes job postings from career pages and automatically generates personalized cold emails using Llama 3 via Groq. This tool matches job requirements with your portfolio to craft compelling outreach messages.

Streamlit LangChain Llama-3.1 Python

Technical Skills

Programming & Data

Python SQL Pandas NumPy

Machine Learning

Supervised Learning Unsupervised Learning Model Evaluation NLP Basics Transformers

Generative AI

Large Language Models (LLMs) Prompt Engineering Text Summarization Hugging Face Transformers Embeddings & Tokenization

Tools & Platforms

Git Jupyter Notebook Excel Notion

Get In Touch

LinkedIn GitHub
samadarsh14@gmail.com +91 9791015292