Available to hire
I’m Nishant Saxena, a Data Scientist and AI/ML specialist based in Sydney, Australia. I have hands-on experience with generative AI, machine learning, and data-driven product development, backed by strong skills in Python, SQL, cloud platforms, and dashboard creation.
I’m passionate about transforming data into meaningful customer experiences and tackling real-world challenges using NLP, RAG pipelines, and large language models. I thrive in collaborative, cross-functional teams and enjoy turning insights into impactful actions.
Skills
Language
English
Fluent
Hindi
Fluent
Work Experience
Data Analyst Intern at Data Sparta
April 1, 2025 - June 15, 2025Collaborated on AI-driven solutions by developing and deploying AI Agents using Google’s Agent Development Kit and Python. Built a multi-tool resume/job description matching agent that extracts structured information from PDF/Word resumes and job descriptions and generates JSON-based match summaries, improving screening efficiency and consistency in candidate-job matching.
Data Analyst Intern at DashboardWorx
February 1, 2025 - April 1, 2025Used SQL, DAX, and BigQuery to integrate web and IQ data for analyzing user behavior and product usage. Designed dashboards and reports in Power BI and Tableau to deliver actionable insights and strategic recommendations to stakeholders.
Software Developer at Opalina Technologies
December 1, 2020 - June 30, 2022Developed and maintained scalable RESTful APIs using Java and Spring Boot, ensuring smooth backend operations across multiple client-facing applications. Conducted unit and integration testing, achieving zero-incident deployments. Led development on key projects including a Loan Management System, E-Stamping Platform, and a secure Account Management app for MUFG Bank.
Quality Analyst at FIS Global
February 1, 2019 - December 1, 2020Generated and analyzed reports to review performance metrics, contributed to data-driven decision-making and improved operational efficiency. Conducted performance reviews and training focusing on customer service agent operational efficiency, optimizing software solutions through data insights.
Data Analyst at Data Sparta
June 30, 2025 - June 30, 2025Built a multi-agent AI system using Python and Google's Agent Development Kit (ADK) to match resumes with job descriptions. Designed data parsing and normalization pipelines for unstructured files (PDF, DOCX, TXT) to prepare them for AI-driven analysis. Applied NLP-based identity extraction to improve matching accuracy and reduce manual review time.
Data Analyst at Dashboard Works
April 30, 2025 - April 30, 2025Developed interactive Power BI and Tableau dashboards tracking customer engagement and product performance. Delivered insights that improved business efficiency and guided data-informed decision-making. Collaborated with cross-functional teams to enhance customer success metrics using behavioral data.
AI Developer (Academic Project) at UNSW
August 31, 2024 - August 31, 2024Designed and trained deep learning models using TensorFlow for music generation under compute constraints. Applied Generative AI techniques for creative model outputs and improved realism through optimization and augmentation. Focused on model tuning and evaluation to achieve stable performance.
Full-Stack Developer at Career Path Analysis App
August 31, 2024 - August 31, 2024Created a career recommendation platform using React, Flask, and REST APIs. Integrated NLP-based skill extraction and job-market data to generate personalized AI recommendations. Deployed and maintained backend services with robust API handling.
Software Developer at Opalina Technologies
June 30, 2022 - June 30, 2022Built and maintained data APIs for banking applications, improving backend query performance by 20%. Managed large-scale SQL databases with focus on data accuracy, reliability, and compliance. Worked in agile teams to deliver production-grade software aligned with business goals.
Education
Master’s in Information Technology at University of New South Wales
September 1, 2022 - September 30, 2024Bachelor of Science in Computer Science at California State University Long Beach
August 1, 2013 - May 31, 2018Master of Information Technology (Artificial Intelligence) at University of New South Wales
January 11, 2030 - January 1, 2024Bachelor of Science in Computer Science at California State University Long Beach
January 11, 2030 - January 1, 2018Qualifications
Certified Data Analyst - The Data Analytics Institute Certificate
October 1, 2024 - January 31, 2024Industry Experience
Software & Internet
Determined the most efficient and accurate model for Hand Gesture Recognition by exploring the capabilities of popular deep learning models: ResNet18, ResNet50, VGG19, and VGG16
Contributed valuable insights into the selection of the most suitable deep learning model for efficient and accurate hand gesture recognition tasks.
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