Data Scientist/ AI Engineer

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Data Scientist/ AI Engineer
ID : 1013
Education level  : Bachelor's degree
Work experience level  : Experienced- (4-7 year experience)
Work experience in total  : Years
Job type  : Online
Job time  : Maandelijks
Last date of registration :
2022-11-23
Profile description
Work experience In details :
Job position
Job description

AI Developer 2 - IQVIA - (June 2020 - Present)

  • Working as part of Protocol Digitization team, collecting documents from disparate sources, digitize Protocol
    to XML and tagging, querying Protocol sections, Entity Extraction and search (keyword and Semantic).
  • Enabling the business to search using different fields extracted which reduces search time by 50%.

Data Scientist - Reliance Industries Limited - (July 2017 - May 2020)

  • Developed JD-CV matching to assist recruitment team for shortlisting candidates for a vacancy and ranking of profile. Extracting Entities (Personal details, College names, Qualification, Organization names), and Skills. Performed clustering based on profile. Reduced time to close a position by 10%.
  • Developed Course Recommender System to recommend courses to colleagues mining their persona, enrollment history and interest. Integrated recommendations using multi-armed bandit based architecture to personalize each user’s experience. Recommended courses got a click rate of 40%.
  • Developed Sentiment Classifier on feedback reviews. Performed multilabel classification of the reviews into one of 16 categories and extracted top words for category and sentiment so that management can get idea what areas we are doing well and areas that need improvement in the HR processes.

Digital Technology Intern - GE Digital - (January 2017 - June 2017)

  • Developed a portal for measuring the DevOps Maturity score which would give development team the maturity of their development process. This helped the teams to take corrective actions with respect to what tools they can use to improve their development process.
  • Developed a Classifier for classifying Service tickets into different buckets. This helped in faster resolution of the Ticket

Assistant System Engineer - TATA Consultancy Services - (September 2013 - October 2014)

  • Developed an Analytics Dashboard for monitoring the health status of the different servers that are being used by the bank so that early corrective actions can be taken before the server/application fails.
Hard skills
  • Machine Learning, Clustering, Classification, Artificial Neural Network, Deep Learning, Word embeddings, Word2Vec, Natural Language Processing (NLP), Document Semantic Matching, LDA, PCA, SVD
  • Programming Languages – Python, Java (basic), C++ (basic), C (basic)
  • Operating System - Linux, Windows, Mac OS
  • Database – SQL Server, Elastic Search, MongoDB, Hive
  • Frameworks and tools – Scikit learn, Keras, Tensorflow,  Django, Flask, PyCharm, Jupyter Notebook, Pycharm, Sonar, PySpark, Jenkins, Scrappy, Beautiful Soup, Rabbit MQ, Pytest, SQLAlchemy, HDFS
  • Others - GitHub, Jira, Confluence, ELK (Elasticsearch, Logstash, Kibana)
Soft skills
Achievements
  • Secured All India Rank of 368 (99.69 percentile) amongst 100000 candidates in GATE CS 2019.
  • Our team won Hackathon conducted for the Interns at GE Digital and got appreciated by CIO.
Special notes

Machine Learning, Clustering, Classification, ANN, Deep Learning, Word embeddings, Word2Vec, NLP, Document Semantic Matching, LDA, PCA, SVD | Programming Languages: Python, Java, C++, C | Database: SQL Server, Elastic Search, MongoDB, Hive | Frameworks and tools, GitHub, Jira, Confluence, ELK (Elasticsearch, Logstash, Kibana)

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