Gattamaneni Madhu Chowdary
Houston
Summary
MY UNWAVERING PASSION FOR LEARNING AND DRIVEN MINDSET AS AN ENGINEER WILL UNDOUBTEDLY MANIFEST IN MY WORK, AND EXCEL IN MY INAUGURAL PROFESSIONAL EXPERIENCE.
Overview
5
5
years of professional experience
1
1
Certification
Work History
Data Analyst
Corizo
Hyderabad
10.2022 - 07.2024
- Analyzed large datasets to identify trends, patterns and correlations for business insights.
- Optimized existing database structures for better performance on analytics tasks.
Project Developer
VIT-AP
08.2022 - 12.2022
- Built a project where it detects the emotion in the text and classifies the various emotions present in the text
- Various machine learning algorithms are used to classify the emotions in the text they are Logistic Regression and Count Vectorizer
Researcher
VIT-AP
AP
04.2020 - 12.2021
- Led the development and deployment of cutting-edge deep learning models, significantly improving accuracy rates for healthcare analysis
- Achieved a groundbreaking accuracy rate of 99.79% using the ResNet50V3 architecture
- Utilized advanced CNN architectures like ResNet50V3, VGG-16, InceptionV3, and CNN for comparative performance evaluation
- Leveraged large-scale datasets like ImageNet for pre-training and fine-tuning models for brain tumor classification
- Employed data segmentation techniques to improve diagnostic accuracy with low-resolution MR images
Researcher
VIT-AP
AP
07.2019 - 03.2020
- Optimized advanced Deep Convolutional Neural Networks (DCNNs) including VGG 16, Inception ResNet V2, Inception V3, and DenseNet 201 for precise skin cancer classification
- Achieved a remarkable 91.48% accuracy through Ensemble Learning on the HAM10000 dataset
- Demonstrated the efficacy of pre-trained DCNNs by fine-tuning the entire model, resulting in superior classification performance
Education
Master of Science - Data Science
University of Houston-Clear Lake
Houston, TX05-2026
B.TECH - Computer Science and Engineering
VELLORE INSTITUTE OF TECHNOLOGY
AP, India01-2022
Intermediate - MPC
Narayana Junior College
Hyderabad03-2020
Skills
- Core Competencies&Tools:Machine Learning, Data Analysis,Data Visualization,Bussiness Intelligence, Deep Learning, Data Preprocessing &
Feature Engineering, Exploratory Data Analysis (EDA), Model Evaluation & Tuning, NLP, Statistics, Linear Algebra, Data Structures & Algorithms, Version Control (Git), Power BI,Microsoft-Excel
- Programming languages & Software:Python, R, SQL, Java, HTML/CSS; experienced with NumPy, Pandas, Scikit-learn, TensorFlow, Keras, NLTK, Matplotlib, Tableau, MySQL, Git, and Jupyter Notebooks
Research
- Classification of Skin Lesions Using DCNNs, Researcher, Python, TensorFlow, Keras, Jupyter, 12/23 - Present, AP, Andhra Pradesh, India, Optimized advanced Deep Convolutional Neural Networks (DCNNs) including VGG 16, Inception ResNet V2, Inception V3, and DenseNet 201 for precise skin cancer classification. Achieved a remarkable 91.48% accuracy through Ensemble Learning on the HAM10000 dataset.
- Brain Tumor Detection and Classification, Researcher, Python, TensorFlow, Keras, Jupyter, 04/23 - 12/23, AP, Andhra Pradesh, India, Led the development and deployment of cutting-edge deep learning models, significantly improving accuracy rates for healthcare analysis. Achieved a groundbreaking accuracy rate of 99.79% using the ResNet50V3 architecture.
Awards
Microsoft Certified: Power BI Data Analyst Associate (PL-300), Microsoft Office Specialist: Excel Expert, Tableau Desktop Specialist
Projects
Diabetes Prediction Aug2020--Dec2020
*Developed a machine learning classification model with 92% accuracy using the Pima Indians Diabetes Dataset,aiding early diagnosis and treatment.
*Implemented the model using Python, employing scikit-learn and visualization libraries for Interpretability.
Fake News Detection Jan2021-Mar2021
*Designed a web application to identify fake news using natural language processing techniques.
*Integrated ML algorithms like Logistic Regression and TF-IDF for high accuracy in classification tasks.
Leaf Tutor Ai – Multi Language Integration Jan2026-May2026
*Built a multi-language code execution engine supporting Python, Java, C and C++ with multi file compilation and sandbox execution.
*Integrated automated output logging and error capture to generate structured execution reports for debugging and LLM-based analysis.
Certification
- Received outstanding award in skin lesion detection using DCNNs' as demonstrated in the final year capstone project.
Languages
English
Professional
Hindi
Professional
Telugu
Professional
Timeline
Data Analyst
Corizo
10.2022 - 07.2024
Project Developer
VIT-AP
08.2022 - 12.2022
Researcher
VIT-AP
04.2020 - 12.2021
Researcher
VIT-AP
07.2019 - 03.2020
Master of Science - Data Science
University of Houston-Clear Lake
B.TECH - Computer Science and Engineering
VELLORE INSTITUTE OF TECHNOLOGY
Intermediate - MPC
Narayana Junior College