Sr Data Scientist

• Leading data science initiatives and delivering impactful solutions.
• Designed and directed Proof of Concepts (POCs) for applying data science approach and reducing time-to-market by 10%.
• Led Finance Analytics, delivering insights for budgeting & risk analysis, boosting efficiency & informed decisions by 20%.
• Collaborated with stakeholders to define financial KPIs & align data strategies, improving planning by 25% & efficiency by 20%.
• Lead and mentored team via training & hands-on guidance, boosting performance by 15%.
• Worked with cross-functional teams to execute data-driven strategies, achieving a 30% improvement.

Sr. Software Engineer / Data Scientist

• Optimized systems and led technical teams for enhanced performance.
• Optimized resource allocation achieving a 98% improvement through ML model for resource utilization prediction.
• Spearheaded deep learning model development and integration, achieving 50% reduction in resource consumption.
• Led the Stability & Performance team in identifying issues and implementing effective solutions.
• Improved production performance by 20% on the cloud via CPU and code optimization, and automation.
• Collaborated with VP, CTO, and key-stakeholders to establish and implement processes and guidelines.

Software Development Engineer (Backend)

• Focused on backend development and system optimization.
• Spearheaded the API documentation process, streamlining best code practices for framework migration resulting in 20% performance increase.
• Conducted research, presented data-driven findings, and optimized the backup system to enhance efficiency and reliability.
• Positively impacted the $5.744 billion Cloud revenue through system improvements.

Data Scientist / Freelance / Consultant

• Delivered data science solutions for startups and clients globally.
• Maintained regular communication with customers to ensure project success and achieve a 4.8 rating for customer satisfaction.
• Delivered high-quality code for many startups located in the U.S. and U.K.
• Demonstrated strong management skills, resulting in extension and positive feedback from clients.

Software Development & Problem Solving

Design Patterns for Scalable Applications, Distributed Systems and Microservices, Software Engineering Principles, Databases & SQL, Low-level design, High-Level Design, Data Engineering, DSA for Competitive Programming, Product Management.

Master of Business Administration (MBA) in Finance

CGPA: 7.7. Business Analytics, Financial Modeling and Forecasting, Strategic Management and Operations, Strategic resource allocation, Stakeholder collaboration, Financial Technology, Project Management, Leadership and Collaboration, Data-Driven Decision.

M.Tech in Data / Computer Science

CGPA: 8.5. Machine Learning Algorithms, Predictive Modeling and Forecasting, Big Data Technologies (Hadoop, Spark), Deep Learning Frameworks, Natural Language Processing (NLP), Cloud and Deployment, Data Visualization and Storytelling, Research Work.

B.Tech in Computer Science

CGPA: 8.2. Object-Oriented Programming (OOP), Database Management Systems (DBMS), Operating Systems, Statistical Analysis, Software Architecture, Web Technologies, Computer Networks, Data Structures and Algorithms, Programming Paradigms.