Highly motivated data science fresher seeking an entry-level position to apply
strong analytical skills and programming proficiency in Python to extract
meaningful insights from complex datasets. Proven ability to perform data
cleaning, feature engineering, and model building through academic projects,
demonstrating a keen interest in leveraging data-driven solutions to solve realworld
business challenges.
IMAGE CLASSIFICATION USING CNN
July 2023
• Developed a machine learning model to classify images into predefined
categories using CNN.
• Implemented image preprocessing techniques such as resizing, normalizaon,
and data augmentaon to improve model performance.
• Opmized model performance using techniques like dropout, batch
normalizaon, and hyperparameter tuning. Achieved an accuracy of 95% on
the test dataset with a confusion matrix showing high precision and recall for
each class
SENTIMENT ANALYSIS OF CUSTOMER REVIEWS USING NATURAL LANGUAGE
PROCESSING (NLP)
March 2024 — June 2024
• Pre-processed text data by cleaning, tokenizing, and removing stop words to
prepare the dataset for model training.
• Applied Natural Language Processing (NLP) techniques like TF-IDF and word
embeddings for feature extracon.
• Built and trained LSTM model for senment classificaon and evaluated model
performance using accuracy, Precision, recall and F1 score.
Seismic Analysis And Comparison of a Regular Seven-Storyed Ordinary RC Moment Resting Frame To a Set Back Building, Rebelli Somanath, Shibajee Sutar, 03/01/23, SCE, VIT, VELLORE
Workshop on RIVET & BIM Architecture, Two days, NICMAR University, Created some models using the software under the guidance of architectural professionals.
+91-9490566680, somanathnaidu898@gmail.com