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Data Science with less than a year in data processing, business intelligence, and AI-augmented workf
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Results-driven Data Analyst with a technical foundation in end-to-end data processing, predictive modeling, and business intelligence. Expert in leveraging AI-augmented workflows (GitHub Copilot, ChatGPT) to accelerate project lifecycles and streamline complex data transformations. Proven ability to translate raw data into actionable executive insights using Python, SQL, and advanced visualization tools (Tableau/Power BI). Committed to driving operational efficiency and business growth through modern, AI-integrated analytical solutions.
CMS College
Bachelor of Computer Applications (BCA) · Computer Applications
August 1, 2021 – June 30, 2024
KnoVista
Data Analytics Intern
February 1, 2026 – Present
India
Supply Chain Impact Analysis
January 1, 2025 – January 1, 2026
Developed an end-to-end analytics pipeline to quantify the impact of climate patterns on global logistics. Optimized data cleaning workflows using Python (Pandas/NumPy), successfully processing high-volume datasets to improve analytical readiness. Engineered interactive Power BI dashboards that visualized supply chain disruptions, directly enabling proactive decision-making for logistics optimization. Conducted advanced Exploratory Data Analysis (EDA) to uncover critical correlations between meteorological variables and shipping lead times, informing operational strategy.
Gen AI-Powered Analytics Simulation
January 1, 2025 – January 1, 2026
Applied predictive analytics to simulate enterprise-scale scenarios, focusing on measurable process optimization and efficiency gains. Leveraged AI-augmented workflows to accelerate code development, resulting in improved accuracy for complex predictive modeling tasks. Designed an automated reporting architecture that streamlined KPI tracking, significantly reducing manual reporting overhead.
Family Heritage & History Platform
January 1, 2025 – January 1, 2026
Architected a responsive digital archive using AI-augmented workflows to manage content organization and ensure a user-friendly interface. Demonstrated full-stack capability by translating conceptual ancestral data into a functional, accessible digital asset, ensuring long-term data preservation.
Gen AI-Powered Data Analytics Job Simulation
Tata iQ via Forage
January 1, 2026 – Present
Data Analytics Job Simulation
Deloitte Australia via Forage
January 1, 2026 – Present
English Proficiency: IELTS Certified
Unknown
January 1, 2026 – November 1, 2026
Data Analytics Certification
Entri
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse range of applications for data analytics, from supply chain impact to heritage platforms, indicating a broad interest in applying skills to different domains. The certifications from Tata iQ and Deloitte via Forage suggest a proactive approach to professional development and alignment with industry best practices. The current internship at KnoVista further strengthens their practical exposure. However, the experience level is entry-level, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, and a commitment to process optimization. Their experience in collaborative sprint environments and focus on translating complex data into actionable insights suggests good operational fit. The use of AI-assisted tools indicates adaptability and a proactive approach to efficiency.