Sudarshan Ellora

Business Analyst | MSc Business Analytics Student @ UCD Smurfit | Lean Six Sigma Yellow Belt Certified

About Me

Sudarshan Photo

Business Analyst with strong academic and industry exposure in business operations, data analytics, and cross-functional team management. Proven track record in delivering strategic insights through Python, SQL, Tableau, and Lean Six Sigma methodologies. MSc Business Analytics student at UCD Smurfit Business School, passionate about data-driven decision-making, operations optimization, and client-focused solutions.

Download Resume

Education

Exp 1

Master of Science in Business Analytics

UCD Smurfit Business School

September 2025 - September 2026

Course Work: Optimisation in Business, Statistical Methods, Business Decision Support System, Technology Consulting, Decision and Behavioural Analytics

Exp 1

Bachelor's in Electronics and Communication Engineering

JSS Academy Of Technical Education

August 2019 - June 2023

Coursework: Digital Signal Processing, Embedded System, VLSI, Artificial intelligence (AI), Machine Learning (ML) and Deep Learning

Experience

Exp 1

Wired Mode

Management Trainee | Oct 2024 – July 2025

  • Conducted in-depth analysis of business, production, and supply chain data using Python, SQL, R, Tally, and Tableau to generate strategic insights and optimize performance.
  • Consolidated and analyzed cross-functional datasets to uncover profit leaks from defective production; assessed quality metrics, waste patterns, and delivery timelines driving operational improvements that saved the organization over INR 2 crore (~€220,000) per month.
  • Supervised production processes to ensure quality and improve efficiency, saving 200+ man-hours for the organization.
  • Managed 12 direct reports across materials management, warehousing/transportation, and client service departments, ensuring adherence to KPIs, process compliance, and smooth day-to-day operations.
  • Created interactive dashboards for executive reporting, aligning insights with business goals.
Exp 2

Prasa IP LLP

Patent Associate Trainee | September 2024 – October 2024

  • Conducted in-depth research and analysis of global innovation and market trends, producing reports that influenced strategies impacting €5M+ in business decisions.
  • Analyzed large datasets to identify risks, overlaps, and opportunities, enabling a 20% reduction in potential compliance risks.
  • Translated complex technical findings into clear, data-driven reports, improving stakeholder decision-making efficiency by 30%.
  • Provided strategic recommendations from research insights that enhanced competitive positioning and supported market entry worth €2M+ potential revenue.
Exp 3

Clear Tax

Marketing Analyst Intern | July 2023 – August 2023

  • Conducted data-driven market and customer analysis using Excel, SQL, and visualization tools, providing actionable insights that guided strategic business decisions.
  • Analyzed campaign performance metrics and customer behavior trends, enabling teams to optimize marketing strategies and improve ROI by 20%.
  • Prepared comprehensive analytical reports and dashboards for stakeholders, supporting informed decision-making and operational improvements.
  • Collaborated with cross-functional teams to identify business opportunities, mitigate risks, and recommend process improvements, translating marketing data into business insights.
Exp 4

Autoyos Pvt Ltd

Imagery Analyst Intern | September 2022 - October 2022

  • Collected, processed, and maintained a structured dataset of 170+ images, enabling accurate predictive analysis and model-driven insights for classification tasks.
  • Engineered features and applied machine learning techniques to analyze complex datasets, transforming technical outputs into actionable insights for decision-making.
  • Developed data-driven workflows and visualizations to interpret ML model results, supporting stakeholders in understanding trends and patterns.
  • Collaborated on deploying ML pipelines and deep learning models, translating technical results into business-relevant recommendations for process improvement and strategy planning.
Exp 5

JSSATE Bengaluru AI Club

Co-founder & Events Lead | August 2021 - June 2023

  • Organized and delivered 5 major student events, including workshops and interactive sessions, with strong participation across the department.
  • Collaborated with students, alumni, faculty, and industry professionals to design impactful events and activities.
  • Facilitated connections between students and teachers, helping 1000+ students to build a strong learning community.
  • Co-hosted and often served as the face and lead of the club, representing the team in front of peers and faculty.
  • Collected and evaluated participant feedback which improved the quality and increased the student interaction by 30% every event.
  • Prepared event reports, summaries, and presentations, and regularly acted as a speaker or presenter during sessions.

Projects

Project 6

Forex Exchange Rates Dashboard & Analysis

  • Designed and deployed interactive dashboards in Streamlit + Plotly analyzing daily forex data (50+ currencies), featuring trend analysis, gainers/losers, volatility ranking, and heatmaps to enable data-driven financial decision-making.
  • Performed data cleaning, transformation, and statistical analysis (percent change, volatility, high/low values) using Python (Pandas, NumPy), delivering insights on safe-haven assets (BTC, Gold, CHF) vs. hyperinflated currencies (VEF, ARS, LBP).
  • Presented findings through management-style reports and PowerPoint presentations, translating complex financial data into actionable business recommendations for risk management, hedging strategies, and investment planning.

    • Duration: July 2025 – August 2025

Project 5

Non-Invasive Method of Hemoglobin and Glucose Level Detection

  • Spearheaded a collaborative effort with a team of four to efficiently gather PPG signals and metadata using the advanced max30102 pulse oximeter sensor, resulting in accurate hemoglobin and glucose levels during the data collection phase.
  • Applied statistical analysis techniques to extract essential morphological features, contributing to comprehensive data interpretation.
  • Devised a highly effective KNN regressor model, enabling prediction of hemoglobin and glucose levels. Secured funding from KSCST for the project and showcased work at the IEEE conference.

    • Duration: August 2022 – August 2023

Project 4

Health Monitoring System using Raspberry Pi

  • Led a team of 4 to design a health monitoring system using Raspberry Pi and collected input data using the max30102 high-sensitivity pulse oximeter sensor.
  • Generated heart rate via peak-to-peak sampling and implemented a deep neural network model for blood pressure prediction using the MIMIC-3 dataset with 20.1115% loss.

    • Duration: April 2022 – July 2022

Project 3

Surveillance Robot using Raspberry Pi

  • Built a mobile robot using 2 DC motors, motor driver circuit, and Raspberry Pi 3B+ model.
  • Designed the robot to move forward, backward, and sideways while capturing live data from a Logitech camera mounted on the robot.
  • Programmed using OpenCV to navigate and capture live streaming simultaneously with time delay less than 1 second.

    • Duration: August 2021 – October 2021

Project 2

Multiclass Radiography Classification

  • Collaborated with 6 individuals to extract image features from 21,164 X-Ray images with an imbalanced dataset.
  • Programmed to classify X-Ray images into Covid, Lung Opacity, Normal, and Viral Pneumonia using ResNet, U-Net, CNN, and MobileNetV2 with accuracies of 70.13%, 93.30%, 95.42%, and 89.75%, respectively.
  • Published work at Emitter International Journal of Engineering Technology, June 2022.

    • Duration: April 2021 – August 2021

Project 1

Covid-19 Chest CT-Scan Classification

  • Collaborated with 6 peers to post-process and extract statistical information (mean, median) from 2,481 CT images to classify Covid or Non-Covid conditions.
  • Analyzed images by extracting Gray-Level Co-occurrence Matrix (GLCM) features and performed classification using SVM and Random Forest models achieving 91% and 94.5% accuracy, respectively.

    • Duration: October 2021 – January 2022

Skills & Techniques

Tools & Languages

Analytics & Techniques

Testimonials

"I had the pleasure of working with Sudarshan, and I can confidently say he is a dedicated, reliable, and highly professional individual. He brings great energy to the team, takes ownership of his work, and consistently delivers quality results. Any team would be lucky to have him."

- Abhijith Ravikumar

General Manager at Wired Mode

"Sudarshan was a valuable asset to our team, demonstrating a keen aptitude for patent searching and analysis. He consistently produced high-quality patent search reports that were well-organized, comprehensive. His attention to detail and commitment to accuracy ensured that our team had the information needed to make informed decisions. Beyond his technical skills, Sudarshan was a pleasure to work with. He was a team player, always willing to lend a hand and contribute to the success of the team. His positive attitude and enthusiasm were contagious and helped to create a positive work environment."

- Sridevi R

Senior Intellectual Property Administrator at Prasa IP

Contact

sudarshanelluru01@gmail.com

sudarshan.ellora@ucdconnect.ie

LinkedIn

GitHub

HackerRank

+91 7349309041

+353 (89) 9713371