Rashmi Shree Veeraiah's Portfolio

Work Experience

Data Analyst - Business Intelligence

May 2023 - August 2023

Developed critical BI dashboards integrating data from multiple sources to enhance Customer Success reporting at a leading zero-trust segmentation company. My responsibilities included creating automated solutions for tracking key business metrics such as product renewals, sales data integrity, customer engagement, and churn analytics. By implementing data governance measures and collaborating across teams, I contributed to improved data reliability, streamlined reporting processes, and provided executives with comprehensive insights for informed decision-making.

SQL Dashboards & Reporting Salesforce

Software Engineer

Fidelity Information Services

March 2021 - Aug 2022

Developed software components for FIS Profile Banking System using object-oriented Profile Scripting Language, following Agile SDLC and executed QA for 2 releases meeting financial industry regulatory requirements. Led UAT, collaborating with BA and dev teams to resolve 95% of functional and UI defects in core banking software and mentored junior QAs on the team.

Quality Assurance User Acceptance Testing Software Development

Data Science Intern

Fast In Fast Out Solutions Pvt Ltd.

May 2020 - Jan 2021

Data Scientist focused on optimizing coffee supply chain operations. Leveraged Tableau for exploratory data visualization and Python for predictive modeling, forecasting sapling yield and workload demand. Implemented data-driven strategies to enhance efficiency, resource allocation, and yield prediction accuracy across the farm-to-store value chain.

Python Data Analysis Project Management

Data Science Intern

Prodevans Technologies

April 2019 - May 2019

Preprocessed ~1M customer reviews of e-commerce products, implementing NLP techniques for text cleaning, tokenization, and feature extraction. Developed and trained sentiment analysis models using Logistic Regression and Support Vector Machine to classify customer sentiments on various products. Formulated and presented recommendations to enhance customer experience and assisting buyers in making informed purchasing decisions.

NLP Classification Algorithms Machine Learning

Data Engineering Intern

PES University (Satellite Research & Innovation Lab)

April 2018 - May 2018

Developed Python scripts to parse continuous satellite telemetry data streams, enabling efficient file handling, formatting, data analysis, and visualization for subsystem validation. (SindhuNetra (Research Satellite) captures AIS signals from ships across vast oceanic regions, relaying them to ground stations for processing and extracting data on visible-area ship activity.)

Pandas NumPy Matplotlib Seaborn PySpark Statistical Analysis Exploratory Data Analysis Data Validation

Part-time

Executive Board IT Co-ordinator - NSLS at SJSU

October 2023 - May 2024

Spearheaded social media content creation and collaborated with chapter leaders to build and maintain online community, develop engaging events for new members, promote chapter initiatives through social media, design event posters, and actively participated in board meetings.

Graduate Teaching Assistant - San Jose State University

January 2023 - May 2023

Instructor teaching Python programming labs for the Computer Applications course in the Mechanical Engineering department.

Projects

Intelligent AI Chatbot with Azure Cosmos DB and OpenAI

Azure AI Services Azure CosmosDB for MongoDB Vector Search API integration Retreival Augmented Generation Cloud Computing

Developed an Azure-based AI chat application integrating GPT models with Azure Cosmos DB for MongoDB. The app uses vector search and document retrieval to augment responses with contextual customer, product, and sales data stored in Azure Cosmos DB. Built and deployed the solution using Python, focusing on vCore-based Cosmos DB, Vector Search, and Azure OpenAI services.

SkillShift: Dynamic Skill Demand Analysis

Relational Data Modeling Graph Data Modeling Neo4J Redshift Glue PySpark ETL

SkillShift provides insights on evolving skill requirements across industries with detailed analysis on skill demand, workplace culture, and industry trends, helping professionals make informed decisions about career development in a dynamic job market.

View on GitHub

JobGPT: AI Resume Assistant

Python Fine-tuning NLP Prompt Engineering GenAI

Personalized resume assistant using few-shot fine-tuning of GPT-3.5 Turbo to streamline job specific customization of resumes.

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Medicare Claims Fraud Detection | Machine Learning

Python AWS Tableau

Medicare claims fraud detection to identify fraud indicators and unusual patterns using Decision Trees and XGBoost. Enhanced detection accuracy, providing actionable insights to improve healthcare claims integrity.

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ATM Networks Optimization | Big Data Analysis

JavaScript React Node.js

Analyzed over 2.5 million ATM transaction records from Spar Nord Bank to optimize ATM usage patterns and enhance customer service using AWS Services and Big Data Analytics.

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NYC Gun Violence Analytics | DBMS

Machine Learning TensorFlow Docker

Analysis of NYPD shooting incident data providing insights into gun violence patterns and support efforts to mitigate incidents, enhance public safety and policing strategies in New York City.

View on GitHub