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Abonia SojasingarayarAS

Abonia Sojasingarayar

Machine Learning Engineer & Data Scientist

Sur demande
1 projet
Paris, FR
3-7 ans

Délai de réponse moyen : 1h

À propos de Abonia

Data scientist depuis 3 ans , geek et entrepreneur,j'ai réaliser de nombreuse project machine learning and deep learning et j'ai déja travaillé pour des grand groupe(IBm,Neocase software,ADMS Groupe etc...,).Je suis un expert dans les domaines ML tels que l'analyse prédictive, traitement du langage naturel et je souhaite améliorer les affaires grâce aux données et à l'innovation.

✨Experienced in ML domains such as predictive analysis,computer vision,NLP.Good in solving modern problems using AI and deep learning using familier frameworks in python such as tensorflow,scikit,Keras etc and open source toolkits such as openCV,NLTK(For more info dont hesitate to visit project section). Also,experienced Software Engineer and Information Technology technician with a demonstrated history of working in the management consulting,commercial industry,cyber security and information technology sectors. Skilled in Web Marketing Strategies,Front and back end developement tools and languages.

🚀 Skills & Expertise
✔ Execute analytical experiments to help solve various problems, making a true impact across various domains and industries.
✔ Identify relevant data sources and sets to mine for client business needs and collect large structured/unstructured datasets and variables.
✔ Devise and utilise algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy.
✔ Analyse data for trends and patterns and interpret data with a clear objective in mind.
✔ Implement analytical models into production by collaborating with software developers
✔ Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems.
✔ Team player who understand well business problems in order to solve it with modern technologies.

📍Find me on :
✍️Medium : ⏩Github :
  • Tamoul

    Bilingue ou natif

  • Hindi

    Capacité professionnelle complète

  • Anglais

    Bilingue ou natif

  • Français

    Bilingue ou natif

Accepte de travailler sur site
Paris (jusqu’à 50 km)

Expériences

  • IBM
    AI ANALYST/ DATA SCIENTIST
    CONSEIL & AUDIT
    juin 2021 - Aujourd'hui (5 ans)
    Bois-Colombes, France
    - IBM Watson AI products study : Watson Assistance to built a chatbot for business transformation, Watson Knowledge Studio for NLP project annotation.
    - Optimizing time series algorithm for fashion industry - IA4Fashion - IBM Research :
    To predict the future demand of the product based on season - Arima,fbprophet.

    - OCR and Document Reduction - Computer Vision - SNCF: PDF scanned image anonymization with clustering algorithm and OpenCV library.
    - CodeNet IBM research Project - IBM Research : Predicting program/functions that perform similar task. Dataset with 14M code samples,each of which is intended solution to one of 4000 coding problems.

    - RPA and OCR - BNPP :
    • Smart automation of banking and assurance processes with Blueprism and Abby
    Flexicapture.
    • Handwritten date detection from images of pdf

    - Customer Satisfaction Sentiment Analysis with TextBlob and NLTK Vader :
    Data scrapping ,Data exploration,Wordcloud analysis ,Text preprocessing-stemming,lemmatization

    - Watson assistant training and API integration for Digital Coach platform - Allianz france:
    Training and integrating watson assistance chatbot
    Open API specification : Integration with IBM app connect
    Watson API integration with the Whatfix team

    - KPI recrutement Dashboard
    • Scrapping trello data and visualize the data in dashboard via super set.
    • Trigger the scrapping process/api call and add it to postgresql db in cloud via IBM Cloud function.Deploy the app via cf action using archive and custom docker image.
    • Docker env set up
    • Superset data visualization

    - Watson Analysis :
    Performing K-fold validation of intent used with conversational agent.
    Topic modeling to auto detect entities of watson assistant using BERTopic and tf-Idf methodology.

    - Real time computer vision human detection :
    Detecting people from the real time data using YOLO weights andfine tuning pretrained model.
    YOLOv5 model from darknet using torch hub.

    - Watson discovery search data preparation&training : Orange

    - Participating Ideathon IBM consulting lab Paris Saclay

    - Preparing NLP project proposition: note/text generation Email analyzer- RGE

    - Train circuit way data analysis, comparative analysis of coherence in localisation,cdv - RATP Data factory
  • Towards Data Science
    Technical Writer
    EDUCATION & E-LEARNING
    juillet 2022 - Aujourd'hui (3 ans et 11 mois)
    - Author of articles in medium on the topics of data science, machine learning, Python, web scrapping, Computer Vision, Natural Language Prrocessing, mathematical programming , new emerging technologies and learrning tips.
    Technical Writing documentaire intelligence artificielle Data
  • InFLOWS AI
    Machine Learning Engineer Intern
    janvier 2020 - octobre 2020 (9 mois)
    Paris Area, France
    - Auto-ML pipeline development - Use statistical modeling techniques to develop and evaluate algorithms to improve performance, quality, data management and accuracy. - Automate the parameter optimization strategy and develop a specific boosting technique in order to obtain the significant result. - Sampling analysis with chemical data - Expertise in data analysis and visualization - Comparative analysis of ML algorithms - Automate the entire machine learning process, from data preparation to developing models.

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Formations

  • Master's degree
    IA School
    2020
    Completed Project 1: Seq2Seq AI chatbot in tensorflow Github link:https://github.com/Abonia1/Seq2Seq-Chatbot Project 2: Airbnb Paris(ile de france)-Data Analysis and Price Detection Github link:https://github.com/Abonia1/IA-School/tree/master/Airbnb Project 3: Brazilian E-Commerce data analysis and Customer Satisfaction Prediction Github link:https://github.com/Abonia1/Brazilian-E-Commerce Project 4: DVF-France real estate Data and Prediction Analysis Github link:https://github.com/Abonia1/Real-Estate-France-DVF
  • Master's degree
    Institut F2I
    2019
    Project development,Database management, Marketing,Gestion des projets Digital,Web designing etc Final year project:Gustocoffee(co-working online reservation system)web and mobile application(CRM included) Web application: https://github.com/Abonia1/GustoCoffee Mobile App: https://github.com/Abonia1/GustoCoffeeMobileApp API documentation: https://github.com/Abonia1/GustoCoffeeRESTAPI

Certifications

Compétences

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