SUSHMA GHOGALE

admeql@r.postjobfree.com +91-815*******

LinkedIn: https://linkedin.com/in/sushma-ghogale-2b333519

GitHub: https://github.com/sushgho/Msc-Project

Objective

To work in a challenging environment which would facilitate my learning and provides an opportunity to contribute to the growth of technology.

Experience Summary

Masters in Artificial Intelligence from Queen Mary University of London with DeepMind Scholarship Final Dissertation paper accepted in ICCICN 2021.

Multitask professional with one year of Experience in Data science, Machine Learning and Natural Language processing. Experience in optimising Deep neural networks for training and interference.

Quick learner, interested in challenging environment, keep abreast with latest inventions/innovations.

Excellent at Teamwork and time management, Experience in Agile with scrum methodologies and waterfall methodologies.

Strong skills in working with relational databases and Well versed in Microsoft applications.

Experience

Technology Intern at Bright Network December 2020- January 2021, UK

Designing an Agile based project to develop cognitive AI based face recognition app for Banking applications.

Identifying and Aligning Business requirements with Business case and benefits.

Collaborating with team members in Sprint planning including design

Developed detailed user stories and acceptance criteria.

Involved in planning of resourcing, development, testing, integration, and rollout.

Wipro Technologies Ltd. February 2020 – October 2020 Reading, UK

Machine Learning/ Natural Language Processing Engineer (Industrial Project)

Led a project to build a machine learning model for sentiment classification of hotel reviews for an international Hospitality Group.

Developed a product by Multi-Label classifier using Natural Language processing (NLP) and Machine learning (ML) Techniques using Python. Project was to classify sentiments for the Hotel reviews on aspect level and can be used for any Product dataset to mine opinion on product depending on user reviews or feedback, achieved 90% accuracy.

Worked on major machine learning frameworks, languages, and NLP frameworks.

Identifying the requirement and developed product with Agile Methodologies.

Project developed was appreciated and was added to Company’s product/service offering.

The Care Staff Ltd. October 2017- July 2018 Reading, UK

Database Administration

Organised the databases for employee records, timesheets, payroll and clients for a health care and nursing requirement agency using Excel, word.

Led the database design, set up, user management and continuous improvement activities.

PACT Charity Organisation September 2016–February 2017 Reading, UK

Database Administration

Organised all the databases and new developments for data record storage at a leading UK adoption agency.

Led the first data cleansing initiative and migration from MS access to DBMS (Homegrown)

Education

MSc Artificial Intelligence, Queen Mary University of London, UK (Merit)- DeepMind Scholar

Sept 2019 –Sept 2020

Module Include:

Natural Language Processing and Neural Networks

Machine Learning,

Deep Learning and Computer vision,

Data mining

Information Retrieval

AI in Games.

Projects and Assignments:

Gender and Character identification in EastEnders (Natural Language Processing): using unlabeled data, training and classification and validation using various Machine Learning techniques to find good model using Python.

Computer Vision: Image Super-Resolution Using Deep Convolutional Networks

Text classification with Neural Networks (Word2vec, LSTM): Text classification tasks such as Sentiment Analysis are one of the most popular applications of NLP methods, particular in an industrial setting, as being able to recognize whether common sentiment towards a product. Fraud detection, spam classification using Python.

Artificial Intelligence assignments using Bayesian modeling. Prediction, Bayesian Probability, Conditional Probability, Monte-Carlo, Markov chain Hierarchical modelling, etc.

Dissertation/Research Paper and main project-AI Assisted Sentiment Analysis of Hotel Reviews Using Topic Modelling. Done with Wipro Technologies limited using NLP for sentiment classification include Extraction, Analysis, Validation of Data

MSc Science Applied Electronics, Gulbarga University, India (80%) – University Topper

June 2006 – July 2009

Electronics, C language, Embedded electronics, Digital signal Processing, Antennas

BSc Electronics, V.G. Women’s College Gulbarga, India (80%)

June 2003 – May 2006

Electronics, Physics, Maths

Certifications

Artificial Intelligence Foundations: Machine Learning (2020) - (NASBA) – LinkedIn Learning

NLP with Python for Machine Learning Essential Training (2020) - (NASBA) – LinkedIn Learning

AWS Academy Graduate - AWS Academy Cloud Foundations Dec 2020 – AWS academy

ISTQB with Agile (CTFL18) Certified (2019) - International Software Testing Qualifications Board (bcs)

Technical Skills

Programming Languages

Python, Py-torch, TensorFlow, Keras, Jupiter Notebook, SQL, ETL

Machine Learning-ML

Classification and clustering, Supervised and Unsupervised classification methods – K-means, Decision Tree, Naïve Bayes, K-NN, SVM, Logistic Regression, Linear Regression, sklearn, pandas, NumPy, Beautiful soup web scrapping

Natural language Processing- NLP

Sentiment Analysis, Text Classification, Genism, LDA, NMF, part-of-speech tagging, named entity recognition (NER) and dialogue act tagging NumPy, SciPy, Matplotlib, Scikit-Learn, NLTK, SpaCy

Deep Learning

CNN, RNN, LSTM, word2vec, CPU, GPU, VGG, GAN, GoogleNET

AWS Cloud

AWS Architecture, AWS Cloud, AWS Core Services, AWS Pricing, AWS Support, Understanding of IaaS, SaaS & PaaS services in the cloud

Knowledge

Jira, Agile, Java, C++, Java, CI/CD Pipeline

Extra Curriculum Activities: Volunteer fundraising Service in Rising Sun Arts Centre Reading for Autistic Society.

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