Satya Swaroop Panigrahi

Associate Consultant

Bengaluru, Karnataka, India1 yr 11 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in AI-driven solutions for business optimization.
  • Leadership experience in IEEE fostering industry-academia collaboration.
  • Proficient in deploying machine learning models for risk management.
Stackforce AI infers this person is a Data Scientist specializing in AI and Machine Learning for Fintech and Software Development.

Contact

Skills

Core Skills

Data ScienceMachine LearningBlockchainSoftware Development

Other Skills

A/B TestingAIAI AgentsAI Software DevelopmentAPI DevelopmentAmazon S3Amazon Web Services (AWS)Analytical SkillsAndroid StudioApache ZooKeeperArtificial Intelligence (AI)Artificial Neural NetworksAthenaC (Programming Language)C++

About

WNS empowers teams to leverage data science and machine learning to deliver impactful solutions. As a Senior Analyst, current contributions include applying supervised learning and classification techniques to optimize workflows and solve complex challenges for clients. Pursuing a BTech in Information Technology at RGIPT, with a focus on emerging technologies like machine learning and blockchain. Leadership roles, such as Vice Chairperson of IEEE_RGIPT, have fostered collaboration between academia and industry, enabling impactful AI-driven projects.

Experience

1 yr 11 mos
Total Experience
1 yr 1 mo
Average Tenure
10 mos
Current Experience

Wns

Senior Analyst (Data Science)

Aug 2025Present · 10 mos · Bengaluru, Karnataka, India · Hybrid

  • Part of the WNS AI Research team where we build products driven by data for the clients to transform the business process which are human centric but AI driven.
Data ScienceMachine LearningAI

Riskopsai™

Data Scientist

May 2024Aug 2025 · 1 yr 3 mos · San Diego, California, United States · Remote

  • We work on building AI products for Risk Managment to help fortune 500 companies mitiage risk and increase their revenue.
  • Built deployable API's for Risk assesment and associated tasks.
  • Tweaking hugging face models and latest LLM models to fine tune to match the accuracy for the clients.
  • Quantising LLM using QLoRa to be able to utlise LLM on limited compute reasource.
  • Legacy risk modelling using statistic techniques for Risk parameter prediction.
  • Carrying out market research ,comparative and suggestive study to build new product
  • Automated scraping of EDGAR sites and other tasks using Selenium,Playwright and Crawl4ai
  • Applying CoT ans React frameworks for efficient prompting to improve the accuracy and avoiding LLM halucinations.
API DevelopmentHugging Face ProductsLLMMarket ResearchSeleniumPlaywright+3

University of north texas

Research Project Intern

Aug 2023Sep 2024 · 1 yr 1 mo · Texas, United States

  • Supply chain Management in Smart Agriculture using Blockchain.
BlockchainSupply Chain Management

Indian institute of space science and technology

Research Internship

May 2023Jul 2023 · 2 mos · Thiruvananthapuram, Kerala, India · On-site

  • Developed a mobile application in Java JDK and Android Studio to view parsed Wikipedia XML Dump data in a lab-scale test bed approach.
  • Built WebSockets to connect ground station IoT to satellite payload, utilizing LoRa and Wi-Fi for data transfer.
  • Conducted a comparative study on data transfer using UDP and TCP/IP protocols in Wi-Fi module.
JavaWebSocketsIoTSoftware Development

Education

Rajiv Gandhi Institute of Petroleum Technology (RGIPT)

Bachelor of Technology - BTech — Information Technology

Jan 2021May 2025

Viswaprakash central school

Class 12

St Thomas Central School

Class 10 — AISSE

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