Headline

Application Support Engineer @Accenture | leveraging AWS and Linux for optimal support.

About

Graduated with a Bachelor of Technology in Computer Science and Engineering from SRM University, Sonepat in 2025. Currently working as an Associate Research Analyst at Quantish Opinion, where I contribute to collecting, preparing, and analyzing complex datasets from global clients to deliver actionable insights. Skilled in IT business analysis, analyst relations, and decision trees, I focus on applying robust data preparation techniques and generating data-driven recommendations for multinational stakeholders. My certifications, including Introduction to Python and Machine Learning with R, reinforce my technical foundation, enabling me to support informed decision-making through advanced analytics.

Location

Gurugram

AI stack

antigravity

claude code

github copilot

hugging face

notebooklm

openai

Work experience

Application Support Engineer at Accenture, Mar 2026 - Present · 8 mos, On-site, - Maintained and scaled AWS documentation repository covering 50+ knowledge articles, reducing average ticket resolution time by ~30% through structured self-service resources. - Provided L2/L3 hardware and application support across multi-platform environments, achieving 98%+ SLA adherence and minimising critical incident downtime. - Collaborated with cross-functional teams (Dev, QA, Infrastructure) to diagnose and resolve performance bottlenecks, improving application uptime by 15% quarter-over-quarter. - Drove knowledge management initiatives by authoring and peer-reviewing technical runbooks, cutting onboarding time for new support engineers by 25%.

Associate Research Analyst at Quantish Opinion, Aug 2025 - Mar 2026 · 8 mos, Gurugram, Haryana, India, - Collected and organized complex datasets from global clients, ensuring high data quality and relevance for actionable insights. - Applied robust data preprocessing techniques including cleaning, transformation, and validation to prepare international data for advanced analysis. - Delivered data-driven recommendations to multinational stakeholders by analyzing trends and presenting findings through clear reports and visualizations.

Data Science Intern at Unified Mentor Private Limited, Mar 2025 - Jun 2025 · 4 mos, Remote, - Implemented Python-based data analysis in Jupyter Notebook to assess vendor performance metrics and provide actionable business insights. - Automated vendor data processing and generated performance dashboards for real-time KPI visualization and reporting. - Delivered recommendations for process optimization and cost savings, strengthening vendor management strategies through data-driven decision making.

Team Lead Machine Learning at Feynn Labs, Jul 2024 - Sep 2024 · 3 mos, Remote, Led a team in developing and deploying machine learning models for small business clients, focusing on predictive analytics and AI integration. Performed data preprocessing tasks such as handling missing data, detecting outliers, and applying feature scaling to ensure high-quality input for models. Collaborated with cross-functional teams to deliver AI solutions, leading to a 15% improvement in client operational efficiency.

Data Analyst at ACMA India, Jun 2024 - Jul 2024 · 2 mos, • Cleaned and validated 15,000+ manufacturing records using Python and Excel, identifying 500+ data inconsistencies. • Developed 2 Excel dashboards tracking production KPIs, helping team monitor quality metrics and reduce reporting time by 8 hours/week.

Education

Bachelor of Technology - BTech, Computer science and Engineering, SRM UNIVERSITY, SONEPAT

Public links

github: https://github.com/harshsinghrana