🔗 LinkedIn | 📧 Email | 🌐 Portfolio : rohangiri.com
Currently Pursuing MS in Business Analytics at McCombs School of Business , University of Texas at Austin
I'm a data-driven professional, blending technical expertise with business acumen. After 3.5 years of experience as Analyst at Accenture, I’m now delving deeper into the world of data science and machine learning.
I’m diving into the intersection of data analysis, advanced machine learning, optimization techniques, and how they can create meaningful, impactful solutions in business. My academic journey is shaping me into a data strategist and problem solver who understands both the numbers and the business context.
- Languages: Python, R, SQL
- Data: Power BI, Tableau, MySQL, Apache Spark, GitHub
- Tools & Software: Advanced Excel, SAP HANA, Snowflake , Gurobi
- ML & Predictive Analytics: Segmentation , Classification , Time Series Forecasting , NLP , A/B Testing
🔗 YouTube Ad Placement Analytics AWS – End to End cloud-based platform for optimizing YouTube ad placements using AWS | Repo
🔗 A Machine Vision Enabled Tactical Scope –A novel, lightweight machine-vision tactical scope employing real-time deep-learning segmentation, IoT sensor fusion, and integrated target masking for unprecedented accuracy Patent | Post
🔗 Luxury Car Consumer Perception Analysis – Analyzed consumer conversations from Edmunds forums to gain insights into the entry-level luxury car market | Code | Medium
🔗 ARES - Advanced Robot for Extraction and Survey – ARES Utilizes EfficientPS for panoptic segmentation, providing object detection in hazardous disaster zones.Its tank-inspired design, remote navigation, and fast data processing enable efficient, safe search and rescue operations in inaccessible areas IEEE Research Paper
🔗 Maersk Supply Chain Optimization – Analyzed and optimized Maersk's supply chain operations through data-driven insights and interactive dashboards using PowerBI | Code
🔗 Decoding the beat – Enhancing music streaming experiences through genre classification using ML and Deep Learning | Code | Medium
🔗 Forecasting Houston Dynamo FC Game Attendance – Using Supply Chain Analytics to Forecast Attendance by forecasting models like ARIMA , ETS and Naive Forecasting | Code | Medium