Jun 2025 – Dec 2025 · 6 mos · Bengaluru, Karnataka, India · Hybrid

• Delivered analytics and business intelligence solutions to support portfolio analysis, risk insights, and financial decision-making.
• Designed interactive Power BI dashboards and risk data models to visualize catastrophe metrics and portfolio trends for proactive risk management.
• Built and maintained scalable data pipelines using Python and SQL for data cleansing, transformation, and integrity across risk platforms.
• Conducted deep-dive analyses for credit risk evaluation and regulatory reporting use cases.
• Piloted Generative AI and agentic AI frameworks to automate analyst workflows and improve productivity within risk systems.
• Collaborated closely with data scientists, financial analysts, and product teams to align analytics solutions with business and regulatory needs.

Jun 2024 – Jun 2025 · 1 yr · Noida · On-site

• Acted as Product Owner for GenAI-powered BI dashboards, owning roadmap definition, requirements gathering, and stakeholder alignment across global teams.
• Developed AI-driven knowledge mining and analytics solutions using NLP and LLMs (BERT, RAG) to enhance internal intelligence and client support tools.
• Designed and automated Power BI dashboards to support leadership decision-making and track key business KPIs.
• Led multiple AI and BI automation initiatives focused on improving internal efficiency and data-driven decision-making.
• Contributed to the Synopsys Next Gen innovation program by delivering tech sessions, mentoring teams, and driving cross-functional AI initiatives.
• Managed project timelines, stakeholder expectations, and cross-functional collaboration to ensure smooth execution of deliverables.

Jul 2023 – Nov 2023 · 4 mos · Noida · Hybrid

• Developed and optimized Python scripts to automate complex workflows, enhancing data processing accuracy and overall project efficiency.
• Utilized TCL scripting to automate design tasks and create user-friendly graphical interfaces, improving design team productivity and usability of tools.
• Managed Unix-based systems as part of the Continuous Performance and Job Management (CPJ) infrastructure, ensuring seamless system performance and reliability.
• Designed and delivered impactful data visualizations that communicated key insights and trends, supporting strategic decision-making.
• Analyzed diverse datasets to identify patterns and correlations, gaining hands-on experience in real-world trend analysis and business intelligence.
• Applied Python libraries such as Matplotlib, Seaborn, and Plotly to create insightful and visually engaging reports and charts.
• Strengthened foundational skills in Python programming and Unix system operations, contributing to technical problem-solving and team initiatives.

Nov 2023 – Jun 2024 · 7 mos · Sahibzada Ajit Singh Nagar, Punjab, India · On-site

• Led the end-to-end management of a real-world Data Science project from planning to delivery, including data collection, model building, and performance evaluation.
• Utilized Python, pandas, and scikit-learn to develop predictive models and data processing pipelines for client use cases.
• Designed interactive dashboards and reporting systems to visualize results and communicate insights to both technical and non-technical stakeholders.
• Applied project management principles to organize tasks, coordinate with internal teams, and ensure timely delivery of milestones.
• Contributed to business requirement gathering and assisted in translating them into actionable technical plans.
• Actively participated in team meetings and code reviews to ensure quality and collaboration across functions.