Devesh Patil

Contact details — on requestProof of Work — on request

Experience

Data Analyst – Petroleum Operations

Hi Zenith · Jan 2025 – Present

Not yet confirmed

Built Power BI dashboards tracking daily fuel sales across retail outlets, depot inventory, and tanker dispatch performance.
Developed DAX measures and Power Query transformations to calculate outlet-level KPIs (sales volume, margin per litre, target achievement %) for reporting.
Wrote optimized SQL queries joining retail sales, depot stock, and logistics data across operational systems, cutting monthly report prep time by ~40%.
Automated daily and weekly sales, inventory, and dispatch reports via Power BI refreshes and Python / Excel macros, saving ~12-15 hours per week.
Built short-term demand forecasts in Python and Excel for outlet-level fuel sales to support depot replenishment and reduce stock-outs.
Conducted sales variance and freight cost analysis on outlet performance and tanker dispatch data, flagging under-performing routes and cost-saving opportunities.

Virtual Internship - Data Analytics Job Simulation

Deloitte Australia · Apr 2025 – Apr 2025

Not yet confirmed

Completed a simulation involving data analysis and forensic technology.
Created a data dashboard using Tableau and used Excel to classify data and draw business conclusions.

Virtual Internship - Data Analytics Job Simulation

Quantium · Mar 2025 – Apr 2025

Not yet confirmed

Completed a job simulation focused on Data Analytics and Commercial Insights for the data science team.
Developed expertise in data preparation and customer analytics, utilizing transaction datasets to extract valuable insights and deliver data-driven commercial recommendations.

AI Research Intern

The Hyphn (Hyphn Studios LLP) · Jul 2024 – Dec 2024

Not yet confirmed

Spearheaded the research and development of an AI-powered Multimodal Semantic Intelligence Platform to optimize high-fidelity CGI creative workflows.
Engineered an end-to-end semantic search engine using CLIP-based architectures, transitioning the studio from manual tagging to natural language querying for extensive visual asset libraries.
Implemented high-performance data pipelines utilizing Vector Databases (ChromaDB) to enable sub-second similarity searches across thousands of 4K renders.
Managed the complete Machine Learning lifecycle, including proprietary data curation, model fine-tuning, and the deployment of a full-stack analytics dashboard using FastAPI (backend) and React (frontend), containerized via Docker.

Skills 0 proven through work

Also works with

Stakeholder Communication AdaptationAnomaly DetectionTeamworkWork Planning and PrioritizationAnalytical Report CreationData VisualizationExploratory Data Analysis (EDA)Bug FixingProblem SolvingFront-end DevelopmentAI Solution ImplementationModel Training ExecutionChatbot DevelopmentBuilding Web ApplicationsMachine Learning ApplicationTechnical R&D and Spike InvestigationAI & ML Topic ResearchData ValidationCommunication with ColleaguesMicrosoft ExcelData EntryData Discrepancy InvestigationInventory ManagementSales AnalysisTabular Data Cleaning & ValidationQuery WritingDashboard UI DesignPower BI

Proof of Work

Devesh shares this with people who ask. You'll hear back either way.

Education

Bachelor of Engineering, Computer Engineering

University of Mumbai · 2020 — 2024

Links

linkedin.com/in/devesh-patil-2002

Projects

Evaluation based Approaches for Liver Disease Prediction using Machine Learning Algorithm

10.0.137.219/2454-9150.2024.0270

Contact details

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