Jun 2024 – Oct 2025 · 1 yr 4 mos · Noida, Uttar Pradesh, India · Hybrid

• 1. Optimized data processing pipelines, reducing execution time by 40% through efficient use of Python, Pandas, and NumPy.
• 2️⃣ Developed an automated reporting system using Python and SQL, improving report generation speed by 70% and reducing manual effort.
• 3️⃣ Designed and developed Power BI dashboards for AML monitoring and compliance reporting, improving fraud detection accuracy.
• 4️⃣ Enhanced code efficiency by 30% by refactoring legacy Python scripts, reducing redundancy and improving maintainability.
• 5️⃣ Implemented data integrity constraints and triggers in SQL, preventing 90% of erroneous entries in transactional databases.
• 6️⃣ Designed SQL-based risk assessment models, identifying transaction anomalies and enhancing due diligence in KYC/AML analytics.
• 7️⃣ Automated missing value imputation using Python, improving dataset completeness by 40% for predictive models.
• 8️⃣ Created advanced SQL reports with CTEs and window functions, reducing reporting time by 40% and improving business insights.
• 9️⃣ Optimized SQL queries, boosting ERP software performance by 20%, and implemented indexing & partitioning, achieving 35% faster query execution.
• 🔟 Collaborated with US-based clients to develop and optimize 20+ Power BI reports, cutting manual reporting time by 80%.
• 1️⃣1️⃣ Reduced KYC processing time by 25% by collaborating with risk, compliance, and tech teams to streamline workflows.
• 1️⃣2️⃣ Collected, cleaned, and validated large datasets, increasing data accuracy and quality by 80% using Python and SQL.
• 1️⃣3️⃣ Built and maintained real-time dashboards to track key business KPIs, enabling faster decision-making.
• 1️⃣4️⃣ Developed Excel-based pricing models, refining pricing strategies and improving financial decision-making.
• 1️⃣5️⃣ Conducted process training for teams, empowering them to derive deeper insights from data.
• 1️⃣6️⃣ Automated data consolidation with Excel macros and VBA scripts, improving financial reporting accuracy by 20% and efficiency by 30%.

Mar 2022 – Apr 2024 · 2 yrs 1 mo · Gurugram, Haryana, India · Hybrid

• 1️⃣ Transforming 9️⃣0️⃣% raw data into actionable insights on Microsoft Excel, increasing informed decision-making within the organization.
• 2️⃣ Collecting, cleaning, and validating large datasets from various sources, which increased data accuracy and quality by up to 9️⃣5️⃣%.
• 3️⃣ Analyzed 🔟,0️⃣0️⃣0️⃣+ entry datasets in Excel, driving a 1️⃣6️⃣% improvement in client outcomes.
• 4️⃣ Actively collaborated with cross-functional teams, translating technical findings into actionable strategies and recommendations that contributed to the company's growth and efficiency.
• 5️⃣ Created macros that reduced the time in the data cleaning process by up to 8️⃣0️⃣%.
• 6️⃣ Optimized 1️⃣0️⃣0️⃣+ SQL queries, increasing ERP software performance by 2️⃣0️⃣%.
• 7️⃣ Worked extensively on procedures and functions.
• 8️⃣ Migrated 🔟,0️⃣0️⃣0️⃣+ objects from Oracle database to PostgreSQL.
• 9️⃣ Contributed significantly to end-to-end product development, steering 3️⃣ successful launches.
• 🔟 Led 4️⃣+ members of diverse teams.
• 1️⃣1️⃣ Collaborated with stakeholders for dedicated software implementation, leading to a 3️⃣0️⃣% increase in project efficiency.
• 1️⃣2️⃣ Liaised between business and technical personnel to ensure a mutual understanding of processes and publications.
• 1️⃣3️⃣ Conducted data audits that identified 1️⃣0️⃣0️⃣+ errors, inconsistencies, or gaps in data.