I am Amogh Ramagiri

Name: Amogh Ramagiri

Profile: Data Scientist

Email: amoghgr64@gmail.com

Skills
Python | Flask | Firebase 100%
C | Machine Learning | Deep Learning 90%
MySql | Scikit-learn | TensorFlow 75%
MongoDB | PowerBI | OpenCV 55%

About me

I’m Amogh, and I have a genuine love for turning complex datasets into compelling stories that help drive decisions. My journey started at Presidency University Bangalore where I built a strong foundation in computer science and artificial intelligence. Since then, I’ve had the privilege of working across different countries, from India to Taiwan and now the U.S., each experience enriching my understanding of how data can illuminate paths forward. Currently at Data Science for Sustainable Development, I’m diving deep into projects that not only challenge me but also contribute positively to society. One of my proudest moments was at Factocart where I analyzed over 10GB of data to deliver insights that led to an 11% increase in sales within just 6 months. It’s incredibly rewarding to see how my work can directly impact business outcomes.

During my time as a Research Intern in Taiwan, I worked on developing a multi-modal biometric authentication system using voice and face recognition technologies. This project taught me the importance of feature fusion, an experience that has shaped my approach toward problem-solving in data science.

In addition to my technical skills, I have a knack for web development which I honed during an internship at WODO. There, I led front-end projects while also developing backend solutions using Python and Flask. Achieving a 96% accuracy rate on sales predictions with machine learning was another highlight that reinforced my belief in the power of data-driven decision-making. Outside of work, I'm passionate about sustainable development initiatives and often engage with community projects that leverage data science for social good. If you’re interested in discussing innovative ways to use data or want to collaborate on exciting projects, feel free to reach out via email!

Competencies:

  • Data Analysis
  • Machine Learning
  • Computer Vision
  • Feature Engineering
  • Python Programming
  • Web Development

Resume

Education

Master of Science in Data Science

Aug 2024 - Present

The George Washington University, DC

Currently in my first smester courses studying Intro to Data Science, Intro to Data mining, and Data warehousing

Bachelor of Technology

Sept, 2020 - May, 2024

Presidency University, Bangalore, India

Pursued B.Tech in Computer Science and Engineering (Specialized in Artificial Intelligence and Machine Learning) with GPA of 8.27/10

Publications

Image Classification for Optimised Prediction of Leukemia Cancer Cells using Machine Learning and Deep Learning Techniques

  • Researched and proposed LDSVM (LR + DT + SVM) has more effective model for Image classification. Published in IEEE Conference at Graphic Era Hill University (ICIDCA), April 2023

Professional Experience

Data Science for Sustainable Development

Data Scientist Consultant
Oct 2024 - Present | Washington D.C.
  • Designed strategy to reduce overall energy waste across 10 university buildings by 16%+ annually. Researched energy consumption patterns using Random Forest algorithm to identify peak usage times.
  • Analyzed energy benchmarking data from 50+ university buildings, identifying critical factors impacting resource efficiency and sustainability trends to guide further research initiatives.
  • Implemented unsupervised learning techniques, such as clustering and PCA, to detect anomalies in energy usage, identifying inefficiencies in building operations.
  • Developed and deployed an interactive Streamlit app using Folium on Streamlit Community Cloud, enabling researchers to explore university building energy data through dynamic visualizations.

Factocart

Data Scientist
Mar - Aug 2024 | Bangalore, India
  • Enabled strategic decisions about client acquisition and sales that drove 11% boost in overall sales within 6 months by analyzing 10GB+ datasets fetched from AWS S3.
  • Predicted customer demand with 92% accuracy, leading to 13% reduction in stockouts and optimizing inventory management across 10+ product categories using machine learning models.
  • Performed hypothesis and A/B testing to evaluate the effectiveness of marketing campaigns, identifying high-performing strategies that led to a 15% increase in conversion rates.
  • Created 20 detailed analytics reports using Power BI that provided actionable insights for decision-making; this initiative enhanced data visibility and led to a more efficient sales strategy implementation.

National Changhua University of Education

Research Intern
Sept 2023 - March 2024 | Changhua, Taiwan
  • Engineered dual-layer biometric authentication system integrating DeepFace for facial recognition and MFCC features for voice recognition, enhancing overall accuracy by 30% over traditional single-modal systems.
  • Analyzed biometric authentication performance across diverse datasets, leveraging statistical techniques to validate system reliability and effectiveness.
  • Developed web application using Flask and Python to retrieve 1,000+ authentication records from NAS servers on Raspberry Pi; achieved reduction of storage space by approximately 23%, enhancing system efficiency.

Wodo

Web-Developer Intern
Jun 2022 - Aug 2022 | Bangalore, India
  • Led the development and implementation of backend functionality for two projects using Python, Flask, and SQL, improving website performance and reliability.
  • Formulated predictive analytics through the implementation of a Random Forest model with precision metrics at 96%, yielding critical insights which addressed inventory shortages and increased customer satisfaction levels.
  • Improved the sales prediction model with feature engineering, which increased forecasting accuracy by 12% and reduced errors by 20%.

Photography

Contact

Address

Arlington, VA, USA

LinkedIn

amoghgr

Email

amoghgr64@gmail.com

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