Gowtham

ESG Research Analyst

SG Analytics • Full-time

Feb 2022 - Present • 4 yrs 8 mos

Conducted data-driven ESG research and analysis across 50+ companies, transforming unstructured corporate disclosures and sustainability information into structured datasets and actionable business insights. • Collected, reviewed and analyzed company-level ESG data, policies, disclosures and sustainability commitments to identify trends, risk patterns and reporting gaps. • Performed data validation and quality checks across multiple information sources to improve the accuracy and reliability of analytical outputs. • Standardized research data and analytical notes to create structured, comparable datasets for client-specific reporting and advisory deliverables. • Conducted comparative analysis across companies to identify ESG performance trends, disclosure patterns and potential areas of risk. • Identified and flagged 10+ disclosure inconsistencies through systematic data review and validation, improving the depth of client-facing analysis. • Synthesized large volumes of qualitative and quantitative information into concise insights, supporting research reports and business presentations. • Streamlined research documentation and standardized analytical workflows, contributing to a 5% reduction in analyst preparation time. • Translated raw research findings into structured insights aligned with client requirements, demonstrating strong analytical thinking, attention to detail and data interpretation skills. Key Skills Applied: Data Collection, Data Cleaning, Data Validation, Research Analytics, Comparative Analysis, Trend Analysis, Risk Analysis, Data Interpretation, Reporting, Business Insights and Quality Assurance

Data Analyst

Quest Global • Full-time

Jul 2024 - Jun 2025 • 11 mos

Worked on data-driven production optimization projects for upstream oil & gas operations, applying data analysis, KPI monitoring, Root Cause Analysis (RCA), anomaly detection and process optimization to support operational decision-making. • Performed exploratory and as-is analysis across 21 wells, analyzing production trends, operational parameters and workflow data to identify performance gaps and optimization opportunities. • Analyzed production, downtime, failure-log and asset-health data across 60+ wells to identify recurring failure patterns, operational bottlenecks and performance deviations. • Conducted structured Root Cause Analysis using historical failure data, downtime KPIs and operational records to diagnose valve failures and identify preventive-maintenance opportunities. • Developed KPI-driven analytical workflows to monitor asset performance, identify anomalies and flag wells requiring further investigation or optimization. • Standardized operational data, alerting workflows and reporting processes to improve issue identification, escalation and real-time incident response. • Mapped production workflows and key value streams to identify process inefficiencies and connect operational findings with cost, uptime and production KPIs. • Refined analytical and simulation-based workflows to evaluate well performance, detect deviations and support data-driven production optimization decisions. • Worked with cross-functional teams and vendors to collect, validate and organize critical operational and completions data for project deliverables and rig handover readiness. • Applied structured problem-solving and data-driven analysis to translate raw operational data into actionable business and operational insights. Key Outcomes: Contributed to a 13% production uplift across 21 wells; supported a 30% reduction in downtime across 60 wells; helped prevent $600K+ in potential losses; contributed to $300K+ annual service-cost reduction; and improved tool uptime