About me

I’m Rohan Giri, a Master’s in Business Analytics student at the McCombs School of Business, University of Texas at Austin, with over 3.5 years of experience as an Analyst at Accenture.

My expertise lies in Data Science and Predictive Modeling, with a strong foundation in Data Analysis and Machine Learning. I’m proficient in tools like Python, R, SQL, and Azure, and have hands-on experience in building models to predict trends and outcomes across various domains.

Currently in Austin, focused on enhancing my career in Data Analytics and Machine Learning, I’m excited about solving real-world problems and creating data-driven solutions.

RESUME

SKILLS

Tools & Techniques :

Data Visualization Tools :

Statistics / Modelling :

LLMs

• Tableau, Power BI, Matplotlib, Pyplot

• Machine Learning, NLP,Time Series Forecasting(ARIMA), A/B Testing, Hypothesis Testing

• RAG , AI Agents, Prompt Engineering , Hugging Face ,Transformers

• Python (Pandas, NumPy, TensorFlow, Keras), SQL, R, Excel (VLOOKUP, VBA), Git, PySpark

Research Projects

ARES – Advanced Robot for Extraction and Survey

Powered by the EfficientPS architecture, ARES processes data quickly, providing valuable insights to rescue teams for faster and safer decision-making during crisis situations.

• Tech - Python ,Panoptic Segmentation, ROS

•Link for IEEE Publication

Human Pose Estimation Based Robust Gait Generation and Estimation in Humanoid Robot​

Awarded Gold Medal for Best Presentation and Content

• Published in IJSCAI Journal Publication

• Published in ICEECT Conference Publication

Classification of Retinal Diseases Using Transfer Learning Approach

• The research proposes a transfer learning approach for Retinal Disease Classification using Deep Learning.

• Tech - Python , Deep Learning Frameworks,TensorFlow Transfer Learning ,Classification

Link for IEEE Publication

SNAPBot : Self Navigation and Positioning Robot

• The paper proposes a methodology to achieve adaptive and autonomous gait generation and correction mechanisms in humanoid robots.​

• Tech - Python , ROS

• Link for IEEE Publication

Predictive Modeling

Youtube End to End Data Analytics

Implemented AI-driven solutions to optimize data analysis and insights generation.

Forecasting Houston Dynamo FC Game Attendance

Analyzes historical game data and various factors to predict Houston Dynamo FC game attendance using models like Naive Forecasting, ETS, ARIMA, and ARIMAX

Tech Stack: R , Python , Selenium , Weather APIs

Powered by the EfficientPS architecture, ARES processes data quickly, providing valuable insights to rescue teams for faster and safer decision-making during crisis situations.

• Real-Time Analysis: ARES uses Panoptic Segmentation for instant disaster zone insights.

• Rugged Mobility: Navigate hazardous terrain with a tank-inspired design.

• Efficient Processing: EfficientPS enables fast object detection and data analysis.

ARES - Advanced Robot for Extraction & Survey

Leveraged big data technologies to extract meaningful insights for healthcare and finance sectors.

Link for the IEEE Publication

Tech Stack: Computer Vision, Deep Learning frameworks (TensorFlow),Panoptic Segmentation , Python

HawkEye - Machine Vision Enabled Tactical Smart Scope

Decoding the Beats

Enhancing music streaming experiences through genre classification using machine learning and deep learning, powered by Python, CNN

Tech Stack: Computer Vision, Deep Learning frameworks

Luxury Car Consumer Sentiment Analysis

Analyzed consumer discussions from Edmunds forums using co-occurrence matrices, lift ratios, and MDS to uncover brand comparisons, associations, and aspirations, providing actionable insights into entry-level luxury car market dynamics and consumer preferences for strategic positioning.

Tech Stack: Unstructured Data , NLTK , Python , Beautiful Soup

Tech Stack: R , Python , Selenium , Weather APIs

Electronics And Communication Engineering

July 2024 - May 2025

University of Texas at Austin , McCombs School of Business

Master of Science in Business Analytics

June 2016 - June 2020

SRM Institute of Science and Technology

Relevant Coursework: Advanced Machine Learning, Optimization, Data Storytelling, Unstructured Data, Supply Chain Analytics, Finance Analytics, Information Management

EDUCATION

EXPERIENCE

General Motors

• Accomplished the identification of optimal EV charger locations as measured by maximized EV adoption by leveraging geospatial analysis and creating interactive data visualizations using Tableau to communicate predictive insights

• Leveraged AI-driven analytics and LLMs to uncover insights along with managing a 10 + team

• Engineered predictive analytics models to optimize inventory distribution across multiple channels, resulting in a 25% reduction in overstock costs and a 20% increase in turnover rates for retail clients.

• Developed and deployed a dynamic pricing model that adjusted prices in real-time based on market demand, competition, and inventory levels, boosting gross margins by 15%

• Utilized Pandas and scikit-learn to transform into actionable insights, increasing promotional effectiveness and achieving more accurate shelf share distributions that drove a 20% increase in sales during promotional periods in

Data Scientist - Capstone

Jan 2021 - June 2024

Austin , Texas

Data Scientist

• Engineered SAP inventory systems that reduced stock discrepancies and improved supply chain responsiveness, contributing to an estimated $1.2M annual savings in logistics costs

• Collaborated with cross-functional teams to develop AI-driven solutions, optimizing inventory management and production workflows, resulting in a 25% increase in operational efficiency and enhanced supply chain

• Performed comprehensive data analysis and product integration testing for 10 manufacturing plants in US utilizing advanced statistical methods leading to significantly improving stakeholder satisfaction.

Bangalore , India

Dec 2024 - May 2025

Accenture

Associate Data Scientist

CERTIFICATIONS

SAP Certified Application Associate

SAP S/4HANA Production Planning and Manufacturing

(C_TS422_2021)

Deep Learning Specialization

AZ 900

Azure Fundamentals

DP 900

Azure Data Fundamentals

DP 203

Azure Data Engineer Associate

AI 900

Azure AI Fundamentals

Databricks

Generative AI

Snowflake

Data Warehouse

1. Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

2. Structuring Machine Learning Projects

3. Convolutional Neural Networks

4. Sequence Models

5. Neural Networks and Deep Learning

Google Scholar

Skillsoft

ORCiD

ResearchGate

Research

Get in touch

© Rohan Giri 2025. All rights reserved.

rohangirius@gmail.com

+1.512.666.9161

Portfolio