Resume

Education

Master of Science - Scientific Computing

2006 - 2008

Savitribai Phule University, Pune, IN

Majoring in Scientific Computing with a concentration in High Performance Computing, Optimization Techniques, Unix Programming and Java, I have been exposed to all facets of software development life cycle. Throughout my collegiate career, I have attempted to stay well-rounded combining academic excellence with leadership and work experience.

Bachelor of Computer Science

2003- 2005

Savitribai Phule University , Pune , IN

Activities and societies: Represented College at various Technical Events, Member of National Service Scheme, Participated in National Level Republic Day Camp. Completed B.Sc. in Computer Science with "First class with Distinction".

Professional Skills

Data Management | Data Modelling

ETL | BI | Analytics

Python | Databases

Project Management

AI|ML|DevOps

Skills Summary

Professional Experience

Staff Architect

Nov 2019 - Present

IQVIA, Pune, In

At IQVIA, I help Life Sciences organizations unlock the power of AI-powered, conversational analytics. Instead of just building tools, I focus on designing solutions that change the way business users interact with data and make decisions.

Key Achievements & Impact :

Architected and deployed AI-driven analytics solutions that enabled pharma clients to ask questions in natural language and receive instant insights, improving decision-making speed.
Built a scalable analytics framework for managing data pipelines and model training, reducing deployment time and boosting model accuracy.
Integrated diverse data sources (SAP HANA, Snowflake, AWS Redshift, Azure CosmosDB , Databricks , Salesforce , VEEVA CRM ) into unified analytics platforms, enhancing data accessibility and reporting precision.
Developed and operationalized machine learning models for NLP, anomaly detection, and predictive insights, helping clients identify risks and opportunities earlier.
Partnered with product teams and business stakeholders to co-create solutions that delivered measurable ROI and stronger adoption across global user bases.
Streamlined DevOps integration using Kubernetes, Helm, and Grafana, improving reliability, scalability, and system monitoring.
Created a reusable analytics artifacts library, cutting development effort by 20% across multiple projects.

Solution Architect

2008 - 2019

IBM, Pune, IN

Progressed from Entry Level Engineer to System Scientist to Solution Architect, driving the evolution of IBM's analytics capabilities through client-focused innovation and scalable BI solutions. Designed and delivered enterprise-grade analytics architectures across global teams, integrating AI, DevOps, and big data technologies. Consistently aligned customer needs with product strategy, shaping IBM's offerings and accelerating digital transformation.

Key Achievements & Impact :

Spearheaded end-to-end analytics solution design and delivery, progressing from System Scientist to Solution Architect within IBM’s global Data & Analytics practice.
Drove customer-centric product innovation by aligning real-world use cases with IBM Business Analytics roadmap, enhancing product relevance and adoption.
Designed and implemented scalable BI architectures for global clients, using tools like Cognos, Power BI, and ELK to unify insights across complex data ecosystems.
Architected AI-powered analytics frameworks on big data lakes, enabling procurement teams to improve operational efficiency and decision-making by 20%.
Integrated analytics solutions with modern DevOps pipelines (Docker, Kubernetes, Jenkins), reducing deployment cycles and improving release reliability.
Delivered strategic proofs-of-concept in data quality, automation, and mobile BI, directly influencing IBM Procurement’s product development priorities.
Collaborated cross-functionally with global clients to translate business needs into technical solutions, strengthening IBM’s consulting and delivery capabilities.