As a Data Analyst, I conducted in-depth analysis of fatal road accidents during lockdown, revealing a 41% reduction in casualties in 2021. Utilizing the ETS algorithm, I forecasted monthly accidents for 2022 and developed robust ML models for fraud detection in financial transactions. By addressing data quality and class imbalance, I enhanced accuracy and interpretability using Decision Tree, Logistic Regression, and Random Forest.

Conducted sentiment and network analysis of Reddit communities using Python, Reddit API, and Gephi. I improved moderation strategies by 15% and developed interactive dashboards in Power BI to visualize key data points for decision-making support. Collaborating with cross-functional teams, I aligned data analysis with business objectives to enhance community management effectiveness.

Data Consultant / Senior System Engineer• Provided technical and functional support for ERP based issues, development, and reporting using Service Now, Microsoft Excel, Python, SQL, and Power BI.• Conducted SLA and Incident Management, adhering to ITIL and Agile Work Management principles.• Collaborated with stakeholders for requirement gathering, business analysis, and problem-solving to ensure smooth operations.

Junior Data Analyst / System Engineer• Utilized Microsoft Excel, Power BI, and SQL to analyze data, optimize business workflows, and improve operational efficiency.• Collaborated with stakeholders to gather requirements and ensure ERP integrity, leading to enhanced financial reporting.• Contributed to team projects by collecting and modeling data, showcasing strong teamwork and quick learning abilities.

• Trained in SQL, Python, Microsoft Azure, C++, C#, Selenium, Jenkins for developing innovative solutions to tackle complex data challenges.• Proficient in Data Analytics, data processing, CRM, and Business Acumen.• Developed skills in data modeling, Business Intelligence, and programming during the System Engineer Trainee role at Infosys.