About Me

1.Built and optimized a vessel fuel prediction model that

• Helped our clients save ~$1.2M annually in fuel costs
• Helped the environment by conserving over 400k+ gallons of fuel yearly
• Made vessels 15% more efficient on average
• Elevated our model accuracy from 80% to 98.5%

2.Created intricate Power BI reports

• To drive decision making of vessel speeds, dispatch timings, etc
• For optimal vessel utilization and fuel savings
• By driving clear narratives using vessel trips, fuel utilization, and wait time visualizations

3.Automated monthly report generation, summarization, and QC that

• Saved our team 120+ hours monthly
• Allowed the team to focus on higher-value QC processes instead of manual report churning
• Added Report automation that sends the Vessel reports every Monday

4.Built an AI Report Summarization tool

• Trained the model to Identify the KPIs like Top performing trips, Vessel Utilization, Short/Long trip, Fuel Consumption, Cost Savings, etc.
• It generates the Tailored summary reducing the Quality Analysis time by 70%

5.Fuel Consumption breakdown per vessel state

• By cleverly breaking down aggregated fuel data over different Vessel state, unlocked the decision making to identify the actual vs predicted fuel difference at vessel state
• It helped to draw an analysis based on fuel difference in a particular vessel state

6.Trained 4 Data Analysts on PowerBI Vessel Report development & Quality Analysis process for ~8 months

1.Strategic Product Operations

• Formulated data-driven GTM strategies and business models by synthesizing real-time market signals, bridging the gap between engineering roadmaps and commercial goals

2.Growth & Operational Excellence

• Orchestrated daily business operations and automated lead generation pipelines, optimizing marketing workflows to secure strategic client partnerships and accelerate early-stage growth