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AI Engineer with less than a year in Machine Learning & Data Analytics
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Assessing your cultural and operational fit
Artificial Intelligence and Data Science enthusiast with hands-on experience in Python, SQL, Excel, exploratory data analysis, and end-to-end machine learning pipelines. Built and deployed a full-stack predictive and prescriptive analytics platform; skilled in data cleaning, data visualization, and forecasting. Seeking to contribute as an AI Developer or Data Analyst.
University of Mumbai, Datta Meghe College of Engineering, Airoli
B.E. · Artificial Intelligence and Data Science
August 1, 2022 – June 30, 2026
L.D. Sonawane Junior College, Kalyan
HSC · Science
June 1, 2020 – May 31, 2022
BMSES, Kalyan
SSC
June 1, 2019 – May 31, 2020
RK Cables, Vashi
Data Management and Analytics Intern
January 1, 2026 – March 1, 2026
Navi Mumbai, Maharashtra, India
AICTE / Shell India / Edunet Foundation
Virtual Intern - AI and Data Analytics
June 1, 2025 – July 1, 2025
India
Mira Advanced Engineering
Intern Python Developer
March 1, 2024 – April 1, 2024
India
ANORA - Prescriptive and Explainable Analytics Engine for B2C Intelligence
January 1, 2025 – January 1, 2026
Built a full-stack BI platform integrating Predictive (LSTM + Attention), Diagnostic (Prophet + LLM), and Prescriptive (PuLP Linear Optimization) analytics modules. Achieved RMSE of approximately 6,500 on the Olist e-commerce dataset, a 41% improvement over baselines; deployed via FastAPI.
IRO Vision - Web-Based Colour Blindness Simulator and Corrector
January 1, 2024 – January 1, 2025
Built a browser-based accessibility tool using the Canvas API for real-time colour transformation; developed with a serverless React and TypeScript frontend.
McKinsey Forward Program
McKinsey.org
June 1, 2026 – Present
Two-time Winner, AI-Spark
Unknown
June 1, 2026 – Present
Data Analytics Job Simulation
Deloitte
June 1, 2026 – Present
Best Paper Award, NCATEX-2026
Unknown
January 1, 2026 – Present
Eureka '24 Nominee
IIT Bombay
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic background in AI and Data Science, coupled with diverse project experiences (e-commerce analytics, accessibility tools, GHG emissions modeling), indicates a broad interest and adaptability. Participation in programs like McKinsey Forward and Deloitte's job simulation suggests an interest in structured problem-solving and business application, which are valuable for cultural fit. The candidate's engagement in competitions and awards (AI-Spark, Eureka '24, Best Paper Award) highlights a competitive spirit and a drive for excellence. The variety of internships, from data management to AI/data analytics and Python development, shows a willingness to explore different facets of the tech industry, which can contribute to a versatile team environment.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude towards learning and application, as seen in their academic projects and multiple internships. Their involvement in competitive events and certifications suggests a drive for continuous improvement and problem-solving. Collaboration skills are mentioned in the 'Intern Python Developer' role, indicating an ability to work within teams. The candidate's focus on AI and Data Science aligns well with an AI Engineer role, showing a clear career direction.