AI Engineer with 1+ years in AI/ML & Data Analytics
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Results-oriented AI and Data Science undergraduate (CGPA 9.1/10) who completed 3 industry internships spanning analytics, deep learning, and full-stack engineering. Reduced monthly reporting time by 40% at Godrej Industries via workflow optimization. Proficient in Python, SQL, Power BI, TensorFlow, and Microsoft Azure; targeting an entry-level Data Scientist or AI/ML Engineer role to generate measurable business value.
Vidyavardhini's College of Engineering and Technology, University of Mumbai
Bachelor of Engineering · Artificial Intelligence and Data Science
August 1, 2024 – Present
Godrej Industries Ltd.
Data Analytics Intern
January 1, 2025 – March 31, 2025
Mumbai, Maharashtra, India
Remote
AI and Data Science Intern (Virtual)
January 1, 2024 – December 31, 2024
India
Fellowship, VCET
Data Science and Deep Learning Intern
June 1, 2023 – July 31, 2023
Mumbai, Maharashtra, India
Nextus - Financial SaaS Platform
June 17, 2026 – Present
Banking platform supporting multi-account aggregation and real-time fund transfers across 4 account types; secured with JWT authentication and role-based access control.
Amazon Sales Dashboard
June 17, 2026 – Present
Consolidated 100K+ sales records into a Power BI report with dynamic KPI cards (Revenue, Profit, Quantity) and category/region/time-period filters.
DVH Travel Planner
June 17, 2026 – Present
Cross-platform mobile app with an ML-powered hotel recommendation engine (budget, location, user type); returns top-3 ranked options to cut booking search time significantly.
Uber Data Analysis
June 17, 2026 – Present
Ingested and visualized 4M+ ride records; identified peak-demand hours and high-revenue zones through an interactive Streamlit app with 6 chart views.
2nd Place – Oscillations National Paper Presentation, India | NeuroRender: Rendering Thoughts into Images
Oscillations National Paper Presentation
April 1, 2025 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including a financial SaaS platform, an Amazon sales dashboard, a travel planner with an ML engine, and Uber data analysis, indicates a broad interest and ability to apply technical skills across different domains. Their internship experiences span data analytics, AI, and deep learning, showing a willingness to explore various facets of the field. The target role of AI Engineer aligns well with their academic background in AI and Data Science and their practical experience in ML/DL projects. The candidate's participation in a national paper presentation and student councils suggests an active and engaged approach, which can contribute positively to team dynamics.
Soft Skills & Operational Fit
The candidate lists communication, teamwork, technical documentation, content writing, and adaptability as soft skills. Their project descriptions and internship achievements suggest an ability to work in teams and communicate technical insights, as seen in their role in guiding strategic decisions and reducing reporting time. The candidate's involvement in student councils also indicates teamwork and organizational skills. The candidate's ability to streamline data processes and improve model accuracy suggests a results-oriented and adaptable approach.