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AI Engineer with 5+ years in Data Science & Machine Learning
Data Scientist with 3.5+ years of experience in Data Analysis, Machine Learning and Software Development, delivering data-driven insights and predictive solutions. Expertise in Python, SQL, Predictive Modelling, Feature Engineering, Exploratory Data Analysis (EDA) and Machine Learning Algorithms. Hands-on experience in developing Customer Churn Prediction Models and LLM-based AI Chatbot Solutions using modern AI and NLP frameworks. Proven capability in building end-to-end analytical workflows, including data preprocessing, model training, evaluation, and deployment-ready applications. Proficient in tools and technologies including Scikit-learn, Pandas, NumPy, LangChain, OpenAI, Hugging Face, Pinecone, Flask, Power BI, and GitHub. Adept at transforming complex business problems into scalable data science and AI-driven solutions.
Coventry University
M.Sc. · Data Science & Computational Intelligence
August 1, 2023 – June 30, 2024
JNTUH
B.Tech. · Computer Science & Engineering
August 1, 2017 – June 30, 2022
Movianto UK
Master Data Controller
September 1, 2024 – February 1, 2026
Bedford, Massachusetts, United States
Synthetic Intelligence Lab
AI Research Scientist Intern
June 1, 2023 – September 1, 2024
London, England, United Kingdom
Tech Mahindra
Associate Technical Support Engineer
April 1, 2022 – February 1, 2023
Hyderābād, Telangana, India
KFin Technologies
Software Engineer
September 1, 2021 – February 1, 2022
Hyderābād, Telangana, India
Turbomodus
.NET Developer
February 1, 2021 – August 1, 2021
Hyderābād, Telangana, India
AI Medical Chatbot (Medi Bot)
June 1, 2026 – Present
Developed an LLM-powered medical chatbot using Retrieval-Augmented Generation (RAG) to answer healthcare-related user queries. Implemented document chunking, text preprocessing, and semantic retrieval for efficient knowledge extraction. Integrated Hugging Face embeddings with Pinecone vector database for vector similarity search and context-based response generation. Used LangChain for building the retrieval and prompt orchestration pipeline with conversational flow. Built and tested the application in Python and Flask, with source code managed on GitHub.
View ProjectCustomer Churn Prediction
June 1, 2026 – Present
Built a machine learning classification model to predict customer churn and support retention-focused business decisions. Performed data cleaning, feature engineering, train-test split, and class imbalance handling using SMOTE. Trained and compared multiple models including Random Forest, Decision Tree, and XGBoost. Achieved model accuracies of 84% (Random Forest), 79% (Decision Tree), and 83% (XGBoost). Evaluated model performance using accuracy metrics and comparative model analysis.
View ProjectAccenture North America Data Analytics and Visualisation
Accenture
June 1, 2026 – Present
JP Morgan Chase & Co. Quantitative Research Job Stimulation Program
J.P. Morgan
June 1, 2026 – Present
Salesforce Sales Operations by Coursera
Coursera
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, including an AI Medical Chatbot and Customer Churn Prediction, shows a breadth of interest in applying AI to different domains. Their participation in 'Women in AI & Quantitative Analytics Event' and prior roles in data analysis and software engineering suggest adaptability and a willingness to engage with various technical challenges. The target role of AI Engineer aligns well with their recent academic focus and internship experience, indicating a clear career trajectory towards AI.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to problem-solving and a commitment to continuous learning, as seen in their diverse project portfolio and certifications. Their experience in stakeholder collaboration and optimizing dashboards suggests an ability to translate technical insights into business value. The 'Employee of the Month' and 'Pat on the Back Award' indicate strong work ethic and positive team contributions.