Sumyuktha k

Data Engineer

Hyderabad, Telangana, India9 yrs 1 mo experience

Highly Stable

Key Highlights

7+ years of experience in Data Science and Machine Learning.
Expert in NLP programming and statistical modeling.
Proficient in Python and Django for application development.

Stackforce AI infers this person is a Data Science and Machine Learning expert with a focus on Fintech applications.

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Skills

Core Skills

Data ScienceMachine Learning

Other Skills

Analytical SkillsAnalyticsClassification ModelingData AnalyticsData preprocessingDeep LearningEDAEnglishFeature EngineeringNatural Language Processing (NLP)PipelinesPython (Programming Language)Regression ModelingSAS Certified Base ProgrammerSAS Programming

About

Have 7+ years of IT experience in Statistical/Data which involves programming and data analysis, data mining, requirement analysis, modeling, analysis, design , development support and Implementation of various web, stand-alone, client-server applications using Python, Django in various domains. • Experienced in Data Science, Machine Learning Algorithms , NLP Programming • Expertise in Object Oriented Analysis and Design, OOPS using Design Patterns, MVC Frameworks • Statistical Modelling and Analysis: Descriptive & Inferential Statistics, Outlier Detection. • Machine Learning: Regression and Prediction, Classification, Clustering Algorithms and Implementation, Model Building, Model Evaluation and accuracy Improvements. • NLP Programming: Text Preprocessing (Tokenisation, Word2Vec, POS Tagging), Text Classification, Named Entity Recongnition (NER), Sentiment Analysis using LSTM , Resume Parsing using BERT Algorithm. DeepLearning-frameworks line CNN, RNN ,PyTorch, TensorFlow.

Experience

Technocolabs softwares

Data Analyst

Jan 2023 – Mar 2023 · 2 mos · Remote

Created Mortgage Prepayment Risk Prediction App
Implemented Data preprocessing,
EDA (visualization of categorical and numerical features),
Feature Engineering(label encoding, Mi scores, SelectKBest, Smote, PCA)
Classification and Regression Modeling(RandomForestClassifer, SVM, Linear and Lasso)
Target variable Creation and risk evaluation,
Pipelines(Regression and Classification) and
Deployed.