Rishiraj Sinharay

I'm a Data

About

Rishiraj is a data analytics professional with strong command of Python, SQL, and R, and hands-on experience building Streamlit applications and LLM-powered data pipelines. He enjoys transforming raw, unstructured data into clear insights and creating tools that are practical, scalable, and production-ready.

His work spans OCR microservices, executive dashboards, analytics solutions, and sports data insights — reflecting a growing focus on the intersection of data and sport. With a lifelong passion for cricket, football, and performance analysis, he aims to apply analytical rigor to enhance decision-making in the sports domain. Beyond data, Rishiraj brings operational discipline and leadership from his experience in hospitality, fostering teamwork, precision, and reliability in every project.

Tech Stack
Python SQL R Streamlit LLM Pipelines AWS Textract FAISS / RAG Selenium Power BI Microsoft Azure SAP BODS Apache Hadoop

Resume

Professional Experience

Data Scientist (Internship)

June 2025 - September 2025

QUINFY Technology Pvt. Ltd.

  • Built an OCR to LLM microservice (Rails 8, AWS Textract, Anthropic Claude) achieving close to 95% field-level accuracy.
  • Automated end-to-end document processing reducing manual effort by more than 80%.
  • Shipped secure REST APIs and webhook delivery for downstream JSON sync; S3-backed storage via Active Storage.

Data Scientist (Internship)

February 2025 - May 2025

Dell Technologies

  • Built data pipelines to extract 1,500+ job listings and 300+ news articles (Selenium, BS4, SerpAPI, PyPDF2).
  • Implemented RAG (LLaMA-3.3-70B + FAISS) and a Streamlit dashboard with company/region filters and executive summaries.
  • Delivered insight reports highlighting high-synergy sectors (Manufacturing, Finance, HR) to support leadership decisions.

Associate Professional Software Engineer

July 2020 - January 2022

DXC Technology

  • Supported and optimized SAP BODS ETL pipelines in production.
  • Maintained the Apache Hadoop analytics platform (job health, access, incident triage).

Education

Private Master Degree in Sports Analytics

2025-present

Escuela Universitaria Real Madrid Universidad Europea, Madrid, Spain

Master of Data Science

2022-2023

Monash University, Melbourne, Australia

Bachelor of Technology, Electrical & Electronics Engineering

2016 - 2020

Manipal Institute of Technology, Manipal, India

Extra-Curriculars

Hospitality & Customer Service

April 2022 - January 2025

Melbourne, Australia

  • Operations management in high-volume venues; maintained more than 99% service efficiency and smooth workflows.
  • Inventory control and demand forecasting; reduced stock-outs by 30% through regular audits.
  • Team leadership; trained and mentored more than 15 staff, improving efficiency by 25%.
  • Client service; boosted repeat business by approximately 20% via personalized, timely support.
  • Event coordination; planned and executed private functions end-to-end.
  • Compliance; upheld 100% health, safety, and hygiene standards.

Portfolio

Explore my portfolio of data-driven projects, where I apply advanced analytics, machine learning, and visualization techniques to extract meaningful insights. From predictive modeling to real-world problem-solving, each project highlights my expertise in SQL, Python, and data science, showcasing my ability to turn raw data into actionable solutions.

  • All
  • Sports
  • Coursework
  • GenAI
  • Others

Master of Data Science, Minor Thesis

A Novel Machine Learning Framework for Identifying Predictive Biomarkers of FGFR Targeted Therapy in Breast Cancer

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News Summarization and Text-to-Speech Application

Akaike Internship Assignment

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Master of Data Science, Data Visualization Project

Spotify Streaming Data Analysis

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GenAI Market Intelligence Dashboard

A data-driven platform for tracking Generative AI initiatives, competitor analysis, and partnership opportunities for Dell

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Bayer 04 Leverkusen’s Unbeaten Bundesliga Season

A data-driven analysis of Bayer 04 Leverkusen’s unbeaten Bundesliga season under Xabi Alonso

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Leicester City’s 2015/16 Title Winning Premier League Season

The 5000-to-1 Miracle: How Leicester City Won the Premier League. A Data-Driven Tribute to Jamie Vardy and Co.

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Inside the Numbers: How Aitana Bonmatí Dominated the 2023 FIFA World Cup

A data-driven analysis of her performance leading to Spain's victory in the 2023 FIFA World Cup and her well deserved Golden Ball award.

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Player Scouting Dashboard

An interactive Streamlit-powered scouting dashboard that enables data-driven football player analysis through advanced filtering, radar chart visualizations, and side-by-side performance comparisons.

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Certifications

Azure AI Essentials Professional Certificate Microsoft & LinkedIn · 2025
Azure Fundamentals (AZ-900) Microsoft · 2021
ITIL Foundation: ITIL 4 Edition AXELOS
Generative AI Fundamentals Databricks Academic Accreditation
Introduction to Football Analytics Hudl Statsbomb · 2025
Introduction to Sports Analytics Rajasthan Royals · 2025
Power BI Internshala · 2025

Contact

Let's connect! Feel free to reach out for collaborations, inquiries, or just to say hello.

Address

Madrid, Spain

Email

rishiraj1998.rs@gmail.com