(1 year 8 months)

Energy Generation Forecasting Using Python (ARIMA Model) • Spearheaded a renewable energy forecasting project using Python and ARIMA models, focusing on solar, wind, and hydroelectric power generation trends in the Massachusetts area. • Executed advanced data analysis and scenario modeling to predict market shifts, revealing significant growth potential in hydroelectric power. • Ensured accuracy and reliability of forecasts through rigorous model testing and validation, enhancing decision-making in energy investments and policies. • Presented analytical findings to key stakeholders, demonstrating strong capabilities in data-driven analysis and strategic planning in the renewable energy sector.

• Partnered with teams to enhance ESG metrics, driving a 32% uplift in sustainability initiatives, and synthesized insights for a pivotal 20-page report that informed senior leadership decisions. • Executed comprehensive analytics on 5 million+ data points in Python, assessing financial performance and sustainability performance metrics of potential acquisition targets in the green energy sector. • Led and coordinated the integration of ESG (Environmental, Social, andGovernance) criteria into the company's investment and operational strategies, enhancing sustainable and responsible business practices.

BU x ENGIE South Dakota Wind Farm Decarbonization • Delved into BU's Climate Action Plan, evaluating a potential $140 million investment in the South Dakota wind farm; pinpointed prospects for 2-3 times greater power capacity for emission reduction in comparison to New England stations. • Assessed the strategic partnership feasibility with ENGIE North America, identifying the potential to establish the largest clean power purchase agreement within the EPA's Green Power Partnership among 126 educational institutions and its implications on BU's energy sourcing.

Team Leader, Exquisite Eats Web Optimization • Drafted and led A/B testing initiatives, achieving a 7% boost in user engagement after implementing web layout and QR code modifications, analyzed and optimized multiple marketing channels, driving a 15% surge in website traffic. • Tweak & refined algorithm-driven recommendations & that contributed to a 10% uplift in user click-through rate and a 5% decrease in bounce rate by utilizing Google Analytics.

Team Leader, Atal Indore City Transport System Optimization • Spearheaded a data-driven analysis of AICT's vehicle scheduling, using R to conduct simulations, resulting in a 15% increase in operational efficiency during peak and off-peak hours. • Analyzed historical transit data from over 500k data points, translating insights into actionable strategies that reduced overcrowding by 20% and improved overall passenger experience ratings by 25%.

Team Leader, Eureka Forbes Lead Generation • Conducted a robust data analysis of Eureka Forbes' market stance, revealing a 70% market share dominance by the top 10 competitors in the Reverse Osmosis segment. • Developed and refined predictive models, achieving a marked improvement of over 20% in prediction accuracy. Utilized Random Forest algorithms, pinpointing features that improved user conversion rates by approximately 15%. Model performance further surged by 10% through strategic hyperparameter optimization.

Team Leader for Neighborhood Housing Data Analytics Project • Analyzed 2 million+ historical data points in MySQL to identify key indicators of neighborhood housing, presented key findings in Power BI dashboards (barchart, line chart, etc.) • Led team discussions, consolidated and presented managerial report with Data Exploring Overview, Analysis Methodology, Conclusion and Recommendation to business stakeholders

(2 years 1 month) • Utilized Excel’s Logical & Statistical function for data analysis to optimize global collaboration processes, achieving a 30% reduction in processing time for acquiring global production licenses and a 70% reduction in R&D process time. • Synthesized findings to formulate a 10+page feasibility report, aiding in the strategic development of petroleum products. • Utilized SQL for advanced querying and analysis of large datasets, extracting meaningful trends and insights. Presented comprehensive data- driven reports and visualizations to diverse stakeholders, showcasing expertise in data management and strategic recommendations.

Team leader and 1st author for the Project & Publication • Created a plan of sustainable development, specifically in the renewable energy field • Designed an end-to-end project for feasibility investigation of hydrogen generation & storage

• Gathered the sustainable development problems existed in Mississippi in the last ten years and formulated corresponding plans

ArcGIS 3D Mapping & Visualization & Analysis Research Team Member • Utilized ArcGIS to perform surface mapping and represent 3D objects, focusing on mapping pollution potential in specific fields in Arizona. Demonstrated proficiency in GIS technologies to visualize and analyze spatial information. • Generated precise maps and employed ArcGIS to construct models delineating varying degrees of surface pollution within the assigned region, contributing to enhanced understanding and informed ecological decisions.

• Conducted detailed surveys in Source Zone, Soil & GW (Groundwater), analyzing conditions and formulating comprehensive recovery plans. • Developed TCT GW Concentration and GW Elevation Contour maps to evaluate contamination levels effectively. • Articulated remediation alternative plans, offering viable solutions for soil and groundwater, enhancing stakeholders’ understanding and facilitating informed decision-making on environmental recovery strategies.

1 year 5 months • Designed an independent research program about the influence/change of vapor-mediated sensing by monitor propylene glycol reagent, explored and present the results and the phased article

• Cared for the pregnant panda individually and learned about the nutrition arrangement of daily recipe

Individual Contributor, Land Use Adjusting & Management in Navajo Country • Utilized Excel to analyze satellite data for land assessment, determining potential uses in urban development, agriculture, and natural resources. Formulated proposals for future land use, prioritizing sustainability, and efficient resource allocation • Developed land surveys based on satellite data, conducted detailed geological analysis, and crafted customized land utilization plans, ensuring compatibility with environmental factors and responsible resource management