Deepak

Dynamic professional with a proven track record at Taiyo Nippon Sanso India Pvt. Ltd., excelling in data analysis and project management. Recognized for enhancing supply chain efficiency and delivering impactful presentations. Adept at fostering team collaboration and driving strategic decision-making through business intelligence insights.

• Participated in CADD Quest on 03/01/17 at CADD Centre Training Services, completed AutoCAD training for 6 months, and participated in CADD Quest in 2017, proficient in 2D and 3D drawings
• Final Round - India Karting (IKR), 01/01/18, Imperial Society of Innovative Engineers, India
• ISIE International Conference at IIT Delhi, 06/01/18, Imperial Society of Innovative Engineers India, organized an international conference at IIT Delhi on hybrid vehicles, how petroleum vehicles are affecting the environment, carbon footprint, and how we can decrease all these by introducing hybrid vehicles
• Final Round - Formula Imperial, 02/01/19, Imperial Society of Innovative Engineers, India, part of the team in the final year project, made a Formula One type of vehicle that runs on dual fuel (i.e., petrol and lithium-ion battery) Innovation done by the team is that the battery gets charged when the vehicle is running on fuel and allows autonomous movement forward and backward of the vehicle by the app built by the bachelor's in computer science students

• Digital transformation job simulation - Completed a simulation involving developing a new app to help a hypothetical client, CoffeeCo, combat declining sales, conducted market research to understand emerging trends in using apps to improve customer engagement in the F&B industry, analyzed customer pain point data, and provided a recommendation on which issue to solve in the app, reviewed and prioritized app features, and used Trello to set up an agile project management plan
• Accenture North America's Data Analytics and Visualization job - completed a simulation focused on advising a hypothetical social media client as a data analyst at Accenture, cleaned, modelled, and analyzed seven datasets to uncover insights into content trends to inform strategic decisions, prepared a PowerPoint deck, and video presentation to communicate key insights for the client and internal stakeholders.

• Developed an interactive Power BI dashboard and FY26 WHS Plan for Taronga Conservation Society Australia by conducting in-depth research, benchmarking best practices, and aligning strategies with legislative requirements and organizational goals
• Drafted WHS policies, designed adaptable planning templates, and collaborated with divisional leaders to integrate feedback, culminating in a professional presentation delivered to the executive team
• Created an interactive Tableau dashboard to analyze electricity price trends, demand fluctuations, and emission intensities using datasets sourced from AEMO and CSIRO, enabling clear insights into Australia’s energy market.
• Conducted in-depth analysis of bidding behavior using provided datasets, identifying market patterns and strategies, and presenting findings in a visual format for stakeholder interpretation.
• Collaborated in a team of three to develop and submit machine learning models for forecasting Airbnb listing prices in Melbourne, based on rich structured data; contributed across the pipeline while owning end-to-end model selection, training, tuning, and evaluation.
• Performed EDA on engineered features, implemented and optimized three regression models (e.g., XGBoost, LightGBM, Linear Regression), and submitted final forecasts to Kaggle, securing a Top 7 finish out of 300+ teams based on Mean Absolute Error (MAE).