EDUCATION
TECHNICAL STACK
Data Science Machine learning Deep Learning Computer vision NLP
Data Science and Machine Learning Enthusiast with a passion for leveraging data-driven insights to solve complex problems. Proficient in applying statistical analysis, programming, and predictive modeling techniques to extract meaningful insights from diverse datasets.
SAI VISHNU VAMSI SENAGASETTY
SRM UNIVERSITY, ANDHRA PRADESH
Bachelor’s in Computer science and Technology - AIML - 2019-2023 CGPA - 8.48 UNIVERSITY OF HOUSTON
Master’s in Computer and Information Science - 2023 - Present Programming Languages: Python, R, SQL
Data Analysis:
Exploratory Data Analysis (EDA)
MS Excel
Data Visualization: Tableau, Matplotlib
MyPortfolio Vishnu Vamsi ad4j1b@r.postjobfree.com +1-346-***-**** HOUSTON, TEXAS CERTIFICATIONS
Introduction to Python Programming - Microsoft
Python+Data Structures - Perfect e-Learning
Machine Learning A-Z™: Hands-On Python and R In Data Science JPMorgan Chase & Co. Logo Excel Skills
PROFESSIONAL EXPERIENCE
Data science Intern - Yoshops April 2023 - June 2023 Demonstrated strong data analysis skills by generating dynamic reports with actionable insights, utilizing data visualization techniques.
Managed diverse projects, demonstrating strong project management skills in web scraping, file organization and the creation of a comprehensive college database, providing valuable data resources for research and reference.
Machine Learning Research Intern - SRM UNIVERSITY - April 2022- November 2022 PROJECTS
IMAGE CRAFT: TEXT TO IMAGE
USING TRANSFORMERS
MATLAB Programming
Machine Learning Tools:
TensorFlow, PyTorch, Sklearn, Colaboratory,
Anaconda, Amazon Web services(AWS)
Deep Learning: Computer Vision & NLP
A NIGHT-PATROLLING MECHANISM
USING OBJECT DETECTION
Introduced a novel data-driven approach for battery health diagnosis using the optimized GPR algorithm, contributing to advancements in the field.
Conducted and oversaw experiments to validate the optimized GPR model's accuracy in estimating battery State of Health (SOH), employing rigorous evaluation metrics like MAE and RMSE to measure model performance.
Project Focus: Transformer-Based Models,Deep Learning,Residual Blocks,Evaluation Metrics,UNet Architecture,Stable Diffusion Pipeline,Model Optimization
Project Focus: TensorFlow,TensorFlow Hub,MobileNet V2,Object Detection,Image Processing,Model Inference,Bounding Box,Deep Learning,Performance Metrics. HOBBIES: Stock Analysis, Anime, Book reading, Games. LANGUAGES : ENGLISH, TELUGU, HINDI
EXTRA-CURRICULAR : Community leader at NXTWAVE—CCBP 4.0, Member of Student Council Associates - SRM AP, Member of Gaming and Welfare clubes - SRM AP
PUBLICATIONS
Handbook of Research on AI Methods and Applications in Computer Engineering, Chapter 24 - Nighttime Object Detection: A Night-Patrolling Mechanism Using Object Detection, 2023 - https://www.igi-global.com/book/_/304861 State of Health of Lithium-ion Batteries by Data-driven technique with Optimized Gaussian Process Regression, 2023 ICAIA and ATCON-1
ImageCraft: Transforming Text into Images Using Transformers - Applied Intelligence - The International Journal of Research on Intelligent Systems for Real Life Complex Problems - Accepted KEYWORD EXTRACTION FOR
VIDEO CONTENT ENHANCEMENT
Project Focus: Audio-Visual Analysis, Machine Learning (ML), Information Retrieval, Whisper AI, EasyOCR, OpenCV, keyword Extraction, SpaCy, NLTK, Jaccard and Cosine similarity