Bridging Analytics and AI
I started with traditional analytics and evolved into AI-powered solutions. Now I build systems that don't just report what happened, but predict what's next.
Passionate about turning data into actionable insights that drive business decisions
I'm currently pursuing my Master's in Information Systems at Northeastern University, where I'm diving deep into the intersection of data engineering and AI. With a background in software engineering from India and now studying in Boston, I've had the unique opportunity to work across different tech ecosystems and approaches to data.
I specialize in building end-to-end data solutions - from cleaning messy datasets to creating predictive models that actually get used. Whether it's designing ETL pipelines in Azure, building interactive Tableau dashboards, or implementing AI systems using LangChain and RAG, I focus on solutions that bridge the gap between complex data and clear business decisions.
Started with traditional analytics and database work, then evolved into AI and machine learning. Now I'm passionate about building systems that don't just analyze what happened, but can predict what's coming next and suggest what to do about it.
Comprehensive expertise across the data science and engineering stack
Building impactful solutions across data science and software development
Northeastern University - Research Enterprise Services
Nov 2024 - May 2025 | Boston, MA
Byteridge Software Private Limited
July 2023 - June 2024 | Hyderabad, India
Byteridge Software Private Limited
Feb 2023 - June 2023 | Hyderabad, India
Keshav Memorial Institute of Technology
Jun 2021 - Nov 2021 | Hyderabad, India
Academic foundation in Information Systems and Computer Science Engineering
Northeastern University
Sep 2024 - Dec 2026 | Boston, MA
Relevant Coursework:
Data Management and Database Design, DBMS, SQL, Application Development and Engineering
Keshav Memorial Institute of Technology (JNTU Affiliated)
Graduated July 2023 | Hyderabad, India
Leadership & Activities:
Showcasing innovative solutions across data science, AI, and software development
Built hybrid Reinforcement Learning + Generative AI system for job application optimization, achieving 20.6% improvement in response rates (32.0% → 38.6%) and 23.4% increase in interview rates. Integrated Q-Learning for timing optimization, Thompson Sampling for messaging strategy, and RAG with 12K+ word career guidance knowledge base.
Built AI-powered task manager using MCP and OpenAI API, achieving adaptive task prioritization based on user history patterns. Developed SQLite backend with Flask interface, enabling automated ranking algorithms for task management workflows.
Achieved 95.8% classification accuracy using Logistic Regression, LDA, and Decision Trees in R, improving diagnostic reliability. Identified key tumor predictors through statistical testing, creating ggplot2 visualizations for medical decision support.
Improved data quality by 25% by cleaning and standardizing 350K+ inspection records using Alteryx. Built ETL pipelines with Databricks and Azure Data Factory, creating Power BI dashboards that deliver actionable safety insights.
Standardized 30M+ records using Alteryx and designed comprehensive Snowflake data model. Created interactive Tableau dashboards analyzing movie trends and genres, delivering regional market insights for content strategy decisions.
Developed AI-based misinformation detection system using advanced NLP techniques, achieving real-time article reliability assessment. Built intuitive Streamlit interface for credibility scoring with explainable evidence for fact-checking workflows.
Designed comprehensive database architecture with detailed ER diagrams, enabling efficient patient data access for healthcare operations. Implemented HIPAA-compliant security using SQL grants/triggers and created performance reporting views.
Built role-based Java Swing application, achieving streamlined collaboration between students, NGOs, and donors. Automated workflows for request handling and scheduling, improving operational efficiency by eliminating manual processes.
Continuous learning in AI, Machine Learning, and Data Science
DataCamp
Issued Aug 2025
DataCamp
Issued Jul 2025
Google Cloud Skills Boost
Issued Jul 2025
Coursera
Issued May 2020
Cambridge English
Issued Jan 2020
Building communities and leading creative initiatives
Designed and executed visual content strategies using Canva and Figma, doubling pre-event visibility and boosting social media engagement. Led end-to-end promotional campaigns, collaborating with student leaders to ensure cohesive storytelling and brand consistency.
Directed a 60+ member creative team, organizing campus cultural events and managing the club's Instagram page for impactful visual storytelling. Established a consistent design language for social media, enhancing cultural brand presence and student engagement.
Coordinated virtual sports tournaments and managed official documentation, ensuring smooth event execution and operational compliance. Implemented a social media growth strategy, increasing online audience engagement and sports event participation during the pandemic.
Ready to discuss data opportunities and innovative solutions
barla.g@northeastern.edu
(857) 351-9272
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Boston, MA | Ready to relocate
I'm actively seeking opportunities in data science, analytics, and AI. Let's discuss how I can contribute to your team's success.
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