Madhu Preethi Akula
Cincinnati,Ohio
Summary
AI-driven Data Analyst with expertise in building ethical, empathetic conversational systems using LangChain, LLAMA 3, and prompt engineering for mental health support. Proficient in Python, SQL, Power BI, Excel, Tableau, Pandas, and scikit-learn, with strong experience in EDA, data transformation, and real-time analytics. Developed secure platforms with SQLAlchemy, RESTful APIs, and responsive interfaces, ensuring privacy and session continuity. Familiar with LLMs, NLP, Generative AI, Prompt Tuning, Explainable AI (XAI), and Affective Computing to deliver personalized, human-centric solutions. Passionate about using trending AI and data technologies to drive meaningful insights and scalable business impact.
Overview
4
4
years of professional experience
1
1
Certification
Work History
AI Developer
University of Cincinnati
08.2024 - 04.2025
- Designed and implemented an AI-powered therapeutic chatbot using LangChain and LLAMA 3, focused on delivering non-clinical, emotionally supportive dialogue aligned with ethical guidelines.
- Developed prompt engineering strategies to generate emotionally intelligent, reflective, and judgment-free responses that simulate therapeutic support.
- Applied tone control algorithms and non-diagnostic templates to ensure safe and ethical interactions while adhering to psychological support boundaries.
- Engineered secure session logging mechanisms using SQLAlchemy ORM to track user-AI conversation history with timestamp-based sequencing.
- Enforced authentication and authorization protocols to safeguard protected endpoints, including chat history and dashboard access.
- Designed responsive and accessible user interfaces for chat, login, and sign-up experiences using HTML, CSS, and JavaScript with real-time async messaging.
- Integrated fail-safes and ethical boundaries by ensuring the assistant avoids diagnoses, prescriptions, or misleading responses.
- Performed iterative model output tuning and prompt refinement to handle emotional inputs with empathy and safety using AI behavioral scaffolding.
- Conducted usability testing to evaluate user emotional connection, perceived empathy, and satisfaction with data security and platform functionality.
- Outlined future extensions including explainable AI (XAI), sentiment analysis integration, and affective computing for personalized behavioral feedback.
Research Analyst
R.V.R & J.C College of Engineering
10.2022 - 04.2023
- Conducted in-depth literature survey on ML-based spam filtering and feature selection techniques using IEEE, Springer, and ScienceDirect papers.
- Designed and implemented hybrid classification models integrating Naïve Bayes, Random Forest, SVM, MLP, and J48 decision trees with optimization algorithms such as PSO, GA, ACO, and ABC.
- Performed feature extraction from datasets (Enron, Spambase) using natural language processing (NLP) techniques such as tokenization, stopword removal, stemming, and POS tagging.
- Developed a feature selection framework using bio-inspired methods (ABC-PSO, AABC, APSO) to reduce high-dimensional feature space and enhance classification accuracy.
- Validated the models using performance metrics like Accuracy, Precision, Recall, F1-Score and generated convergence graphs to visualize optimization improvements.
- Implemented normalization methods (e.g., MinMaxScaler) and preprocessing pipelines to improve the quality of data for modeling.
- Conducted experimental analysis using Python (scikit-learn, matplotlib, pandas) on ~50,000 email samples for training and testing spam detection models.
- Authored and published a comprehensive technical research paper outlining methodology, results, graphs, and future scope in machine learning and optimization.
- Proposed potential future integration of deep learning models with PSO/GA using frameworks like TensorFlow and PyTorch.
Data Analyst Intern
Data Exposys Labs
06.2021 - 07.2021
- Conducted Exploratory Data Analysis (EDA) to identify data trends, handle missing values, rename columns, check for duplicates, and understand feature distributions using Python.
- Applied feature selection and normalization (MinMaxScaler) to prepare data for machine learning algorithms.
- Implemented K-Means Clustering and used Within Cluster Sum of Squares (WCSS) and Elbow Method to determine the optimal number of clusters.
- Built interactive scatter plots and cluster visualizations to explain customer behavior to business stakeholders.
- Derived actionable business insights from each customer cluster to assist marketing teams with targeted campaigns.
- Documented the entire data pipeline, methodology, and visualization using Jupyter Notebooks and Markdown.
- Collaborated with data engineers to push the analysis pipeline to an AWS-based environment using S3 and EC2.
- Created dashboards in Power BI to present cluster metrics and segmentation insights to stakeholders.
Education
Master of Science - Computer Science
University of Cincinnati
Cincinnati, OH05-2025
Bachelor of Technology - Computer Science And Business Systems
R.V.R & J.C College of Engineering
Andhra Pradesh, India05-2023
Skills
- Languages:-Python, HTML5, CSS3, JavaScript, Java, C, R, SQL
- Technical Skills:- LangChain, LLAMA 3, Prompt Engineering, Large Language Models (LLMs), Data Analysis, Data Mining, Predictive Modeling, Data Visualization, Machine Learning, Data Warehousing, Data Cleaning, NLP, Big Data Processing, Query Optimization
- Platforms & Tools:- Tableau, Linux, AWS S3, EC2, Git, VS Code, Jupyter Notebook, Power BI, PySpark, Seaborn, Scikit-learn, NumPy, Pandas, Excel
- Databases:- MySQL, PostgreSQL, MongoDB,
Certification
NPTEL Swayam Elite Certification in Python and Internet of Things
Internshala Certification of Training in Data Science
AWS
Certification of AWS Cloud Virtual Internship
Timeline
AI Developer
University of Cincinnati
08.2024 - 04.2025
Research Analyst
R.V.R & J.C College of Engineering
10.2022 - 04.2023
Data Analyst Intern
Data Exposys Labs
06.2021 - 07.2021
Master of Science - Computer Science
University of Cincinnati
Bachelor of Technology - Computer Science And Business Systems
R.V.R & J.C College of Engineering
Similar Profiles
Sarah YoungSarah Young
Adjunct Professor at University of CincinnatiAdjunct Professor at University of Cincinnati
Hayley DiggsHayley Diggs
Dance Team Member at University of CincinnatiDance Team Member at University of Cincinnati
LINDSEY PUMFORDLINDSEY PUMFORD
Undergraduate Research - Electrochemistry at University of CincinnatiUndergraduate Research - Electrochemistry at University of Cincinnati
Shelby AkinShelby Akin
Women's Basketball Manager at University of CincinnatiWomen's Basketball Manager at University of Cincinnati
Christian KolianosChristian Kolianos
Intern at The Potomac Institute For Policy StudiesIntern at The Potomac Institute For Policy Studies