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Lead Data Scientist with 6+ years in Business Intelligence & AI-powered Analytics
Results-driven Technology Lead with 6+ years of expertise in Business Intelligence, Data Engineering, and AI-powered Analytics. Proven track record leading cross-functional teams and delivering enterprise-scale BI solutions using Qlik Sense, Power BI, and Databricks across global environments. Passionate about Generative AI, Predictive Analytics, and scalable data platforms. Recognised for stakeholder collaboration, data governance, and driving measurable operational improvements.
Indira Gandhi National Open University, Kolkata
Post-Graduation
August 1, 2019 – June 30, 2024
West Bengal State University, Kolkata
Graduation
August 1, 2015 – June 30, 2019
WB Board of Higher Secondary Education, Kolkata
12th Standard
June 1, 2015 – May 31, 2015
WB Board of Secondary Education, Kolkata
10th Standard
June 1, 2013 – May 31, 2013
Infosys Limited
Technology Lead
January 1, 2026 – Present
Bhubaneswar & Kolkata, India
Infosys Limited
Technology Analyst
March 1, 2024 – December 1, 2025
Bhubaneswar & Kolkata, India
Ginni Systems Limited - GINESYS
Senior Business Intelligence Developer
February 1, 2020 – March 1, 2024
Kolkata, West Bengal, India
Rookie of the Quarter – Q1 FY26
Infosys DNA Rise Award
June 1, 2026 – Present
Databricks Data Engineer Professional
Databricks Certification
June 1, 2026 – Present
Databricks Generative AI Fundamentals
Databricks Certification
June 1, 2026 – Present
Microsoft Office Specialist
Unknown
January 1, 2010 – Present
Cultural Fit Analysis
The candidate's experience across multiple roles at Infosys Limited and Ginni Systems Limited, coupled with their involvement in large-scale projects supporting 3000+ global users, suggests adaptability and a collaborative mindset. Their passion for Generative AI and Predictive Analytics aligns with a forward-thinking culture. The 'Rookie of the Quarter' award indicates recognition for performance and a positive contribution to team culture.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, team mentorship, and stakeholder collaboration skills. Their experience in managing end-to-end project lifecycles, ensuring high application uptime, and automating reporting workflows indicates a strong operational fit. The ability to drive AI innovation and integrate advanced analytics into business solutions highlights a proactive and results-oriented approach.