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Samrat
Chakraborty

Sales · Cybersecurity · Analytics

Sales professional blending technical expertise in Cybersecurity and Business Analytics with a proven track record driving revenue growth, customer satisfaction, and data-informed decisions.

30%
Device upgrade increase at Samsung
95%+
Customer concern resolution rate
10–30%
Sales KPI overachievement — 6 months
25%
Customer retention boost at Harvey Norman
02 — Work History

Experience

May 2026 — Present
Smart Energy Answers
AI Development Intern · Castle Hill
  • Developing and fine-tuning LLM-powered tools to automate customer enquiry triage and lead qualification workflows
  • Building internal AI dashboards using Python and Power BI to surface real-time energy usage insights for sales teams
  • Designing and testing RAG pipelines to enable context-aware Q&A over product and compliance documentation
  • Collaborating with the sales team to identify automation opportunities, reducing manual data-entry overhead by ~40%
  • Conducting prompt engineering experiments and documenting model behaviour to improve response accuracy and tone alignment

At Smart Energy Answers, I work within a small cross-functional team building AI-driven tooling to streamline the company's solar and energy advisory services. My work sits at the intersection of machine learning engineering, business analytics, and customer experience.

I have been responsible for prototyping a retrieval-augmented generation (RAG) system that allows staff and customers to query a curated knowledge base covering product specifications, government rebate schemes, and compliance requirements. This has significantly reduced time spent searching for information during consultations.

I also support the development of an LLM-based enquiry triage pipeline that categorises inbound leads by intent and urgency, routing them to the appropriate sales consultant. Early testing has shown a measurable reduction in response latency and an improvement in lead conversion rates.

Beyond model development, I contribute to data visualisation efforts, building Power BI dashboards that give the sales team a clear view of customer energy profiles, usage trends, and potential savings. This data-informed approach helps consultants have more targeted and credible conversations with prospective customers.

Dec 2023 — Present
Samsung Electronics
Sales Operations & User Experience Consultant · Parramatta
  • In-depth product expertise across Samsung smartphones, tablets, and smartwatches
  • Troubleshoot and resolve technical issues across Samsung's full device ecosystem
  • Resolved 95%+ escalated customer concerns, working directly with Samsung's technical support teams
  • Drove a 30% increase in device upgrades by identifying customer needs and recommending tailored solutions

At Samsung Electronics, I work closely with customers to understand their device needs and provide suitable product recommendations across smartphones, tablets, smartwatches, and the wider Samsung ecosystem. I focus on delivering personalised solutions by aligning products with each customer's lifestyle, budget, and usage requirements.

I actively demonstrate product features and ecosystem integration, helping customers understand how devices such as smartphones, wearables, and accessories connect seamlessly to improve productivity and everyday convenience. This approach has supported increased customer confidence and higher-value purchases through solution-based selling.

In addition to sales, I provide hands-on technical support, including device setup, data transfer, software updates, troubleshooting, and basic diagnostics. I assist customers with warranty processes, service bookings, and escalated concerns, ensuring issues are handled efficiently and professionally.

I maintain a 95%+ concern resolution rate by applying strong problem-solving skills, clear communication, and a customer-first approach. I also handle difficult situations with patience and professionalism, ensuring a positive experience even in high-pressure or complaint scenarios.

Feb 2022 — Feb 2024
Harvey Norman Computers
Retail Salesperson & Technician · Auburn Flagship
  • Exceeded Sales KPIs by 10–30% for 6 consecutive months
  • Increased overall sales by 20% through advisory-led upselling and cross-selling
  • Boosted customer retention by 25% via rapport-building and bespoke discount strategies
  • Executed complex software recovery, OS reinstallation, BIOS updates across Windows, macOS, and Android
  • Generated 15% increase in brand awareness through positive product impressions

At Harvey Norman Computers, I worked in a fast-paced retail and technical environment, assisting customers in selecting laptops, accessories, warranties, software, and technical services tailored to their personal, study, and business needs. I focused on understanding each customer's requirements and providing practical, value-based solutions rather than just selling products.

I consistently exceeded sales KPIs by 10–30% for six consecutive months by applying strong product knowledge, effective communication, and consultative selling techniques. I also contributed to increased store revenue through upselling and cross-selling complementary products such as accessories, protection plans, and software bundles.

In addition to sales, I delivered hands-on technical support, including software recovery, operating system reinstallation, BIOS updates, virus removal, and troubleshooting across Windows, macOS, and Android devices. I handled customer issues efficiently, ensuring minimal downtime and high satisfaction.

I built strong customer relationships through clear communication, honest recommendations, and reliable after-sales support, which helped improve repeat business and customer trust. I also assisted with product demonstrations, setup guidance, and educating customers on how to use and maintain their devices effectively.

Working in a high-pressure retail environment, I developed strong time management, problem-solving, and multitasking skills while maintaining attention to detail and professionalism. I collaborated with team members to meet store targets, support daily operations, and maintain a high standard of customer service.

Sep 2023 — Dec 2023
H&M
Sales Advisor · Macquarie Park
  • Recommended complementary purchases to increase basket size and revenue
  • Resolved product and service concerns to support customer retention and sales
  • Managed inventory levels based on demand forecasting to meet sales goals

At H&M, I worked as a Sales Advisor in a busy retail environment, supporting customers with product selection, styling advice, fitting room support, and general enquiries.

This role helped me build strong communication, teamwork, and customer service skills while supporting sales through complementary product recommendations and professional customer support.

2022 — Present Retail Floor → AI Development
2022 2023 2024 2025 2026 GROWTH → Harvey Norman Retail Salesperson · 2022–24 H&M Sales Advisor · Sep–Dec 2023 Samsung Electronics 2023–Now Smart Energy Answers AI Development Intern · 2026–Now RAG Pipelines · AEO Systems

← Swipe to explore the full timeline →

Illustrative trajectory — scope, technical depth & responsibility across roles, not a literal measured metric.

03 — Competencies

Skills

Sales & Business
Product & Service Sales Strategic Selling Customer Needs Assessments Rapport Building Conflict Resolution Positive Customer Engagement Analytical Thinking
Technical
Python SQL Java RStudio PowerBI Tableau Microsoft Suite Networking Fundamentals Wireshark Excel Cloud Security Threat & Vulnerability Management
04 — Featured Work

Projects

01
Cybersecurity · PACE Capstone
Privacy Testing Framework for Machine Learning Models
Macquarie University · 2025

Designed and implemented a Membership Inference Attack (MIA) simulation framework to evaluate privacy vulnerabilities in ML models. Built end-to-end pipelines using Python to train shadow models and assess inference accuracy, demonstrating applied security research and ethical decision-making.

Python Scikit-learn Jupyter Docker GitHub LFS MIA Simulation
02
Business Analytics · Capstone
Customer Insights & Predictive Modelling for Co-ops Federation
Macquarie University · 2025

End-to-end analytics project supporting member engagement and operational efficiency. Developed Regression, Classification, and Clustering models to uncover retention drivers and forecast engagement, with interactive Power BI / Tableau dashboards for stakeholders.

Python RStudio Power BI Tableau Regression Clustering EDA
03
AI Search · Digital Growth
AEO Implementation — AI Search Visibility Enhancement
Smart Energy Answers · 2026

Led the rollout of Answer Engine Optimization (AEO) strategies to improve visibility across AI-powered and generative search platforms. Conducted content audits, refined site structure, schema markup, and FAQ content, and partnered with marketing and technical teams to build AI-friendly content frameworks — strengthening answer relevance and search accessibility for renewable energy products and services.

AEO Schema Markup Content Audits Generative Search SEO Strategy
04
Process Automation · Sales Ops
OpenSolar Proposal Automation & Standardization
Smart Energy Answers · 2026

Designed and standardized solar proposal templates in OpenSolar, configuring system products, financing options, and pricing structures to match company branding and customer needs. Streamlined workflows with sales and technical teams to cut manual data entry, reduce preparation time, and maintain accuracy through ongoing QA checks before customer delivery.

OpenSolar Proposal Templates Workflow Design QA Solar Financing
05 — Academic Background

Education

Macquarie University
Bachelor of Information Technology
Majoring in Cybersecurity & Bachelor Of Business Analytics
In Progress
Sydney, NSW
06 — Get in Touch

Contact

Open to opportunities in tech sales, cybersecurity, and business analytics. Feel free to reach out.