// Business & Data Analyst
Turning messy data into clear recommendations.
19 months as a full-time Business Analyst at Upride Networks, a Master of Business Analytics from Deakin, and a donor risk model built on 60,942 World Vision Australia records.
01 — About
Business and Data Analyst with 19 months of full-time Business Analyst experience at Upride Networks and a completed Master of Business Analytics from Deakin University. Uses SQL, Python, Power BI and Tableau to turn stakeholder requirements and messy data into models, dashboards and clear recommendations. Built a donor risk model and scoring app on 60,942 World Vision Australia records, selected for presentation to the client, and launched an artist booking marketplace that reached 30 sign-ups in its first two days.
Student visa, applying for Temporary Graduate visa (subclass 485)
Nikhil Gupta
Junior Business Analyst / Data Analyst
Quick facts
“Turning stakeholder requirements and messy data into models, dashboards and clear recommendations.”
02 — Skills
03 — Selected work
01 — Artist booking marketplace · Personal project
Built and launched crackerjack.live in my spare time: a marketplace where event organisers in India find, book and pay live performers (DJs, bands, singers, photographers), with artist profiles, booking requests, quotes and contracts.
02 — Multi-agent AI assistant · Personal project
A voice-driven system of 7 AI agents: a daily job-data pipeline that scrapes Seek, LinkedIn and Indeed, a resume checker modelled on a 7-reviewer hiring panel, an application assistant that drafts fact-checked cover letters, and a finance agent that turns bank statements into weekly reports.
PythonClaude APIApify03 — Enterprise data warehouse · Academic project
Reconciled disconnected sales and ERP systems into a dimensional data warehouse for a global retailer (500 stores, 10 countries), loading 50,000+ records through a 5-layer Pentaho ETL pipeline.
MySQLPentahoSQL04 — Demand forecasting · Machine learning
Built a regression workflow to forecast bike-rental demand from weather, calendar, and temporal features, supporting fleet and staffing decisions.
PythonPandasScikit-learn05 — Network & transportation modelling
Built a linear-programming transhipment model to minimise weekly freight cost across a 3-tier network of plants, distribution centres, and retail outlets in Victoria, then stress-tested it against route disruption.
Excel SolverLinear Programming06 — Interactive Tableau dashboard · Academic project
Designed and published a live, interactive dashboard (KPIs, maps, comparisons) linking sales, customer behaviour, membership, promotions and financials for a national bookstore chain.
Tableau07 — Decision modelling · LP / ILP / NLP
Built three Excel Solver optimisation models (linear, integer, and nonlinear) to construct an ASX equity portfolio under real sector, risk, and allocation constraints.
Excel SolverOptimisation08 — Monte Carlo simulation
Built a 1,000-trial Monte Carlo simulation to test room-rate and overbooking strategy for a 50-room alpine resort, weighing expected profit against downside risk.
ExcelSimulation04 — Education & experience
2018 – 2022 · Education
RV College of Engineering
Aug 2018 – Aug 2022
2022 – 2024 · Work
Upride Networks Pvt Ltd · Bangalore
Forecast fleet requirements from booking trends; managed ~100 bookings a month (~AUD 10,000 monthly revenue); converted 70–80% of enquiries across 50 gated communities.
2024 – 2025 · Work
Prepared applications to study in Australia
Jun 2024 – Feb 2025
2025 – 2026 · Education
Deakin University · Melbourne
Feb 2025 – Oct 2026
2026 · Work
TapCraft Studio · side business
9 months of 3D-printed merchandise for college clubs; channel and pricing analysis won about 20 clients and AUD 1,500+ in revenue.
2026 · Work
Deakin Engineering Society
Coordinated project teams, ran technical workshops, secured sponsorships and delivered prototypes for campus demos.
2026 · Work
Headstart · Melbourne
Analysed 71 sales consultations (39% close rate) in Python; delivered a sales listening checklist and two CRM requirements.
2026 · Work
World Vision Australia · Deakin
Joined six source tables into 60,942 donors, built an explainable 0.850 ROC-AUC risk model and a scoring app presented to World Vision.
Next
Graduating Oct 2026 · Melbourne, VIC
05 — Achievements
01 / 07World Vision Australia
Six inconsistent tables joined into one validated dataset
02 / 07Explainable risk model
Logistic regression, chosen so fundraisers can read the scores
Crackerjack launch
20 artists and 10 organisers
Upride Networks
Full-time Business Analyst, Nov 2022 – Jun 2024
Upride Networks
Across 50 gated communities via WhatsApp
ICE Entertainment
5-layer Pentaho pipeline, 500 stores in 10 countries
TapCraft Studio
About 20 clients from Instagram & Facebook ads
06 — Contact
