Aug 2024 – May 2026 · 1 yr 9 mos · Denton, Texas, United States · On-site

• Supported applied data, AI, and research-oriented academic tasks across data preprocessing, exploratory analysis, machine learning experimentation, dashboarding, documentation, and technical research support.
• Built and maintained Python-based data workflows to clean, transform, validate, and analyze structured datasets used for academic and operational research tasks, improving data quality, reproducibility, and downstream analysis readiness by 30%+.
• Performed exploratory data analysis using Python, Pandas, NumPy, SQL, and visualization tools to identify patterns, summarize findings, and support data-driven decision-making. Converted raw datasets into clear analytical summaries for faculty and internal stakeholders, reducing manual analysis effort by 40%+.
• Assisted with machine learning experimentation by preparing datasets, validating model outputs, comparing evaluation metrics, and reviewing error patterns. Documented workflows to support repeatability, transparency, and future model improvement across 5+ experiments/models.
• Created dashboards, reports, PowerPoint presentations, and technical summaries to communicate insights clearly to faculty, researchers, and internal stakeholders. Emphasized clarity, actionable interpretation, and business/research relevance, improving reporting efficiency by 35%+.
• Explored practical LLM, RAG, and GenAI use cases for academic research support, including document understanding, knowledge retrieval, summarization, and workflow automation, targeting 40%+ improvement in research productivity and information access.

Jul 2023 – Oct 2023 · 3 mos · Hyderabad, Telangana, India · Hybrid

• Deployed within the Data Operations and Automation Division to design and implement intelligent, data-driven solutions for large-scale enterprise data workflows. Spearheaded the end-to-end development of Recruit-Tech, an automated machine learning system built to optimize talent discovery and profile indexing pipelines, improving candidate profile organization efficiency by 40%+.
• NLP Pipeline Engineering: Built a robust text preprocessing pipeline using the Natural Language Toolkit (NLTK) framework, implementing morphological lemmatization and custom regular expressions to isolate technical jargon while protecting critical system tokens such as C++, C#, and .NET, improving text normalization quality by 35%+.
• Unsupervised Modeling: Transformed unstructured textual data into high-dimensional numerical spaces using TF-IDF feature vectorization and designed an unsupervised K-Means clustering pipeline utilizing k-means++ center initialization, enabling automated segmentation of 1,000+ candidate/profile records.
• Algorithmic Evaluation: Applied strict mathematical validation protocols, leveraging the Silhouette Coefficient and Elbow Method to optimize cluster density boundaries and ensure distinct segment separation without human labeling, improving cluster interpretability by 30%+.
• Feature Mining & Extraction: Formulated a statistical keyword miner by computing the mean parameter weights of cluster centroids to dynamically extract and surface dominant technical skills, improving skill discovery and indexing accuracy by 35%+.
• Dashboard Deployment: Serialized model pipelines and containerized backend logic to ship a responsive, interactive local analytics web workspace using the Streamlit framework, reducing manual review and analysis effort by 40%+.

May 2023 – May 2023 · 0 mo · Hyderabad, Telangana, India · On-site

• Completed a full-stack web development internship focused on responsive web applications, backend functionality, APIs, debugging, and deployment fundamentals, contributing to 3+ working web application features.
• Developed responsive user interfaces using HTML, CSS, and JavaScript, improving usability across desktop and mobile views by 30%+. Focused on clean page structure, layout consistency, and user-friendly interaction design.
• Implemented backend functionality using Python and Flask, strengthening understanding of APIs, routing, request handling, client-server architecture, debugging, and deployment workflows. Connected front-end components with backend logic to support 5+ working web application features.
• Worked through the software development lifecycle by building, testing, debugging, and refining web application features in a startup-style environment. Gained practical experience with iteration, problem solving, and delivering usable software components, reducing feature-level bugs by 25%+.

May 2022 – Jun 2022 · 1 mo · Remote

• Completed a virtual front-end development internship focused on responsive web design, UI implementation, page structure, and performance-aware web development.
• Built responsive web pages using HTML, CSS, and JavaScript, applying layout, styling, and interaction principles for user-friendly interfaces. Focused on translating requirements into clean, functional, and accessible web pages.
• Improved front-end implementation quality by refining page structure, visual consistency, responsiveness, and cross-device usability. Strengthened fundamentals in browser-based debugging, reusable styling, and user-centered design.
• Collaborated on design-to-code tasks while following basic software engineering practices, version control habits, and iterative development workflows. Gained early hands-on experience building web interfaces and improving digital product usability across 3+ UI tasks/features.

Jan 2021 – May 2024 · 3 yrs 4 mos · Hyderabad, Telangana, India · On-site

• Led 5+ student technical initiatives and contributed to applied research projects across IoT, machine learning, trustworthy social reviewing systems, technical seminars, and academic project showcases.
• Built an IoT-enabled smart water-level monitoring bottle using ultrasonic sensing and ESP32 wireless connectivity to support real-time water-level tracking. Focused on low-cost embedded sensing, wireless data transmission, and practical IoT implementation for everyday monitoring use cases. Self-published a conference-style research paper on ResearchGate documenting the system design, sensing approach, hardware integration, and implementation workflow.
• Contributed to research on user trustworthiness assessment in Social Reviewing Systems by studying deceptive review behavior, mendacious reviews, sockpuppet attacks, fuzzy logic, theory of evidence, and multi-criteria decision-making methods. Helped analyze how trust-based methods can improve reliability in online review platforms.
• Supported faculty-guided research discussions by helping structure problem statements, compare methodologies, review technical approaches, and document findings. Strengthened experience in research planning, technical writing, and applied problem formulation.
• Published research work on airfare price prediction using machine learning, applying feature engineering, model evaluation, predictive modeling, and data-driven analysis techniques. Connected academic research with practical price prediction and decision-support use cases.
• Conducted 5+ technical seminars and supported college-level project expos, helping students present project ideas, explain prototypes, discuss implementation approaches, and communicate technical outcomes. Built leadership experience across mentoring, presentation, and project coordination for 50+ students/participants.