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Kandarp Parmar

Business Intelligence Engineer at Amazon | Data Science Professional | Machine Learning Enthusiast

Bengaluru

3+ years of work experience

Amazon
Feb 20267 mosPresent

Bangalore Urban, Karnataka, India

Amazon
Jun 20259 mosFeb 2026

Bengaluru, Karnataka, India

Bankai Infotech
May 20252 mosJun 2025

GAIFE
May 20247 mosNov 2024

Remote

• Finetuned large language models such as Gemma, Gemini, and Mistral using the Unsloth and PEFT libraries. Models were initially sourced from Hugging Face and adjusted to suit specific project requirements. • Developed synthetic data generation pipelines employing NVIDIA’s Nemotron 340b to enhance the training and performance of machine learning models. • Partnered with the CTO and CEO to design and finalise model architectures, significantly contributing to strategic decisions in AI infrastructure development for the startup. • Implemented and deployed LLMs on AWS EC2 instances using Ollama, focusing on efficient and scalable AI models integration into production environments. • Created and applied custom evaluation metrics to assess and ensure the accuracy and reliability of the LLM workflow outputs. • Utilised AWS cloud infrastructure for robust model deployment, facilitating seamless integration and system scalability. • Focused on enhancing the latency performance of LLMs hosted on AWS to improve overall system efficiency.
Bankai Infotech
Jan 20232 yrs 4 mosApr 2025

• Collaborated with stakeholders, senior management, and project managers to define requirements and build analytical sales dashboards, reducing analysis time by 80% and enabling data-driven decisions. • Conducted descriptive analysis of individual performance metrics and delivered actionable insights, improving project outcomes. • Automated SMS classification with a machine learning model, streamlining operations and improving efficiency by 80%. • Configured and maintained SQL Server for historical data storage and efficient ETL, supporting seamless integration into Power BI. • Developed robust Python scripts to clean and transform data, ensuring reliable inputs for strategic use. • Designed automated communication pipelines to share daily insights with stakeholders and account managers, enhancing transparency and efficiency. • Trained 30+ Account Managers on using analytical dashboards, boosting strategic insight extraction and team efficiency by 30%. • Built KPI-driven Power BI dashboards, cutting project analysis time by 80% and supporting cross-team decision-making. • Published interactive dashboards for real-time access, promoting data transparency across the organisation. • Optimised complex SQL queries, views, and procedures to enable seamless data flow from SQL Server to Power BI, improving performance. • Implemented anomaly detection algorithms for manufacturing equipment, reducing failure risk by 20% and improving reliability. • Automated web data collection using Selenium, ensuring consistent and accurate data acquisition aligned with stakeholder needs.

Kandarp’s AI Stack

claude code
claude code
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claude
hugging face
hugging face
kiro
kiro
claudecode
claudecode
ChatGPT
ChatGPT

Education

Dhirubhai Ambani University

M.Sc, Data Science

Dhirubhai Ambani University

20212 yrs2023

Bachelor of Science - BS, Computer Application and Information Technology

Sardar Patel University

20183 yrs2021

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Headline

Business Intelligence Engineer at Amazon | Data Science Professional | Machine Learning Enthusiast

About

Business Intelligence Engineer at Amazon with a strong background in data engineering, analytics, and applied AI. Proficient in SQL, Python, and AWS (Redshift, S3, QuickSight) for building scalable data pipelines, optimising reporting workflows, and delivering automated dashboards. Skilled in natural language processing, LLM fine-tuning, and retrieval-augmented generation using Hugging Face, Unsloth, and advanced model training techniques. Proven ability to derive actionable insights from complex datasets and implement automation that reduces manual effort and improves decision-making. Passionate about applying generative AI and agentic systems to real business problems, and eager to contribute technical expertise to innovative, data-driven teams in a dynamic environment.

Location

Bengaluru

AI stack

claude code

claude

hugging face

kiro

claudecode

ChatGPT

Work experience

Business Intelligence Engineer at Amazon, Feb 2026 - Present · 7 mos, Bangalore Urban, Karnataka, India

Business Analyst at Amazon, Jun 2025 - Feb 2026 · 9 mos, Bengaluru, Karnataka, India

Manager - Revenue Operations at Bankai Infotech, May 2025 - Jun 2025 · 2 mos

AI Engineer at GAIFE, May 2024 - Nov 2024 · 7 mos, Remote, • Finetuned large language models such as Gemma, Gemini, and Mistral using the Unsloth and PEFT libraries. Models were initially sourced from Hugging Face and adjusted to suit specific project requirements. • Developed synthetic data generation pipelines employing NVIDIA’s Nemotron 340b to enhance the training and performance of machine learning models. • Partnered with the CTO and CEO to design and finalise model architectures, significantly contributing to strategic decisions in AI infrastructure development for the startup. • Implemented and deployed LLMs on AWS EC2 instances using Ollama, focusing on efficient and scalable AI models integration into production environments. • Created and applied custom evaluation metrics to assess and ensure the accuracy and reliability of the LLM workflow outputs. • Utilised AWS cloud infrastructure for robust model deployment, facilitating seamless integration and system scalability. • Focused on enhancing the latency performance of LLMs hosted on AWS to improve overall system efficiency.

Associate Data Analyst at Bankai Infotech, Jan 2023 - Apr 2025 · 2 yrs 4 mos, • Collaborated with stakeholders, senior management, and project managers to define requirements and build analytical sales dashboards, reducing analysis time by 80% and enabling data-driven decisions. • Conducted descriptive analysis of individual performance metrics and delivered actionable insights, improving project outcomes. • Automated SMS classification with a machine learning model, streamlining operations and improving efficiency by 80%. • Configured and maintained SQL Server for historical data storage and efficient ETL, supporting seamless integration into Power BI. • Developed robust Python scripts to clean and transform data, ensuring reliable inputs for strategic use. • Designed automated communication pipelines to share daily insights with stakeholders and account managers, enhancing transparency and efficiency. • Trained 30+ Account Managers on using analytical dashboards, boosting strategic insight extraction and team efficiency by 30%. • Built KPI-driven Power BI dashboards, cutting project analysis time by 80% and supporting cross-team decision-making. • Published interactive dashboards for real-time access, promoting data transparency across the organisation. • Optimised complex SQL queries, views, and procedures to enable seamless data flow from SQL Server to Power BI, improving performance. • Implemented anomaly detection algorithms for manufacturing equipment, reducing failure risk by 20% and improving reliability. • Automated web data collection using Selenium, ensuring consistent and accurate data acquisition aligned with stakeholder needs.

Education

M.Sc, Data Science, Dhirubhai Ambani University

Bachelor of Science - BS, Computer Application and Information Technology, Sardar Patel University