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Pujam ******* AI Software Engineer

$660 / day
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Summary

Experienced AI Software Engineer with nearly 3 years of hands-on experience in Python and Pandas for data pipeline development and machine learning. Certified as a DeepLearning AI TensorFlow Developer with expertise in Natural Language Processing (NLP), RNNs, LSTMs, and TensorFlow. Skilled in generative models including GANs through certification and project work, with a strong interest in Large Language Models (LLMs). Proficient in cloud services (AWS Redshift, Athena), big data tools (PySpark), and visualisation platforms (Tableau, Databricks). Passionate about applying AI to innovate and solve complex challenges.

SKills

Apache KafkaAWS AthenaAWS RedshiftDatabricksDeep LearningGenerative Adversarial Networks (GANs)Jupyter NotebookLong Short-Term Memory (LSTM)Machine LearningNatural Language Processing (NLP)Neural NetworkPySparkPythonRecurrent Neural Networks (RNN)Statistical Data AnalysisTableauTensorFlowTime Series ForecastingTokenisationVisual Studio Code
AI ConsultantAI Software DeveloperAI Systems Integration EngineerMachine Learning EngineerNatural Language Processing (NLP) Engineer

Education

July 2019 - July 2021 Masters in Information Technology and Information Technology Management at The University of Sydney
July 2015 - July 2019 Bachelors in Information Technology at NIIT University

Experience

Aug 2021 - Apr 2024 AI Data Analyst at Particular Audience

– Developed and maintained data pipelines for collecting,
cleaning, and preprocessing click-stream data, supporting
advanced analytics initiatives.
– Conducted exploratory data analysis, visualisation, and
predictive analytics to derive actionable insights and
support decision-making processes.
– Optimised data processes and workflows to improve
efficiency and data quality, ensuring high attention to
detail.
– Troubleshoot and resolved issues related to data model
performance and integration, optimising processes for
efficiency and quality.
– Provided analysis and recommendations to stakeholders,
supported by reports and visualisations.
– Automated report generation to reduce delivery time and
enhance efficiency.
– Managed stakeholder relationships, gathering requirements
and proposing improvements.
– Demonstrated a strong customer-centric mindset and
effectively managed customer expectations.
– Utilised advanced analytical and problem-solving skills to
translate data into insights

Jan 2019 - July 2019 Data Scientist Intern at IBM

– Trained a natural language assistant on domain-related
ontology for business transactions.
– Installed and configured a blockchain environment,
integrating it with the NLP bot.