Srivardhini Reddy Subbagari

AI & Machine Learning Engineer • Data Engineer • Data Analyst • Dallas, TX, US

Apache Spark

Version Control

Git

Microsoft Azure

Amazon Web Services

scikit-learn

Perl

NumPy

Keras

Alteryx

Deep Learning

Databases

GPT-3

Streamlit

Embedded Systems

NLTK

Computer Science

Natural Language Processing

Machine Learning

Python

PyTorch

Available for hire fromNegotiable

Contracts

Data Science and Analytics Professional | Master's in Business Analytics

With a Bachelor's degree in Biotechnology from the National Institute of Technology Warangal and currently pursuing a Master's degree in Business Analytics and Data Science at The University of Texas at Dallas, this individual has a strong academic background. Their professional experience includes roles such as a Data Science and Analytics Intern at CBRE, where they developed a budget prediction model and designed a user-friendly dashboard for data visualization. As a Student Assistant at The University of Texas at Dallas, they utilized web scraping techniques and engaged in comprehensive social media analytics. Additionally, their internship at Fractal involved market research on spend analytics and accounts payable solutions, while their role at Toppr focused on conducting in-depth analysis of 12th-grade students. These experiences demonstrate their expertise in data analysis, visualization, and utilizing various tools and techniques to derive insights.

Projects

Emotion Detection in Social Media Using Advanced Language Models

Developed a multi-label emotion classification model using DistilBERT, RoBERTa, FLAN-T5, GEMMA-1.1-2b. • Explored parameter-efficient fine-tuning techniques such as LoRA, QLoRA.See More

Natural Language-Driven Data Visualization and Reporting Platform

Built a data visualization platform leveraging LLMs fine-tuned on SQL Queries for query generation. • Implemented Plotly based real-time report generation with interactive data visualization capabilities. • Prioritized data privacy concerns by restricting LLM access to sensitive information. • Delivered ad-hoc analysis, speeding up data reporting workflows by up to 80% with an accuracy of 85%.See More

Credit default and strategy using Classification

Constructed a credit card strategy using Neural Network and boosting models on 500k rows of data. • Performed Hyperparameter tuning and selected XGBoost as the final model with an AUC of 0.93. • Determined conservative approach better than aggressive cutoffs to achieve desired default rate and profitability.See More

Commercial Building Management System using Anomaly Detection

Developed a website and chatbot for monitoring of critical assets like HVAC systems, elevators. Implemented Local Outlier Factor, SVM, DBSCAN algorithms (LOF: 0.2753, SVM: 0.2463, DBSCAN: 0.8481)See More

Work History

Student Assistant

The University of Texas at DallasUtilized web scraping techniques to systematically extract data from approximately 300 educational institutions in the Dallas area, leveraging APIs to procure essential metrics such as distance parameters, institutional ratings, and feedback metrics. This data was instrumental in informing budgetary estimations for an Outreach program. Additionally, engaged in comprehensive social media analytics, encompassing follower counts, engagement rates, reach metrics, and impression analytics, providing a nuanced understanding of digital presence and impact.

Data Science and Analytics Intern

CBREJun 2023 - Aug 2023 • 3 mosDeveloped a budget prediction model using XGBoost regressor, Random Forest regressor, and Neural networks for Asset data, achieving a commendable 89% R-square value. Designed and implemented a user-friendly dashboard and UI to enhance data visualization. Utilized Regrid and Local Logic database APIs to efficiently retrieve and analyze site data and demographic information, supporting data-driven decision-making.

Imagineer Intern

FractalMay 2021 - Aug 2021 • 4 mosMarket Research on Spend Analytics and Accounts Payable Solutions. Extracted data from Snowflake schema and presented the analysis on a PowerBI dashboard. Generated insights on tail and maverick spend that can cut annual expenditure by 5-10%.

Internship

TopprMay 2019 - Dec 2019 • 8 mosConducted in-depth analysis of the 12th grade students based on attendance, test series and assessment metrics. Analyzed question-level attempts to identify challenging concepts resulting in 30% improvement of scores.

Education

The University of Texas at Dallas

Master's degree, Business Analytics, Data Science Cohort2022 - 2024

National Institute of Technology Warangal

Bachelor of Technology - BTech, Biotechnology2018 - 2022

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