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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Engineering student passionate about Artificial Intelligence and Machine Learning, currently pursuing an Honours specialization in Data Science. Actively building AI-powered solutions through projects, hackathons, and competitions, with a focus on creating technology that delivers real-world impact.
Mumbai University (Engineering)
B.E. · Computer Engineering
August 12, 2023 – May 30, 2027
Morningstar India Private Limited
AI & Data Analytics Virtual Internship
February 23, 2026 – May 24, 2026
Pālghar, Maharashtra, India
Edunet Foundation (AICTE)
AI & Data Analytics Virtual Internship
December 15, 2024 – January 15, 2025
Pālghar, Maharashtra, India
Restaurant Name Generator Engine
February 28, 2026 – June 1, 2026
Created an instantaneous, low-latency AI naming engine. Used LangChain and Groq API workflows to dynamically generate context-aware, cuisine-specific restaurant names and customized food menu layouts based on raw user prompts.
View ProjectKisanAI
January 23, 2026 – January 24, 2026
Built a multilingual (Hindi/Punjabi/English) agricultural engine. Integrated a MobileNet V2 CNN system to detect 38 distinct crop diseases via image-based analysis, and automated crop loss assessment to match and recommend government welfare schemes like PMFBY and KCC
View ProjectMongoDB Overview: Core Concepts and Architecture
MongoDB
April 30, 2026 – Present
Databricks 14-Days AI Challenge
Indian Data Club
January 29, 2026 – Present
Oracle Cloud Infrastructure 2025 Certified AI Foundations Associate
Oracle
October 19, 2025 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including agricultural AI (KisanAI) and e-commerce (Pehnevaah Fashions), shows a broad interest in applying AI to different domains. Their participation in multiple hackathons and challenges (AWS ImpactX, Databricks AI Challenge) indicates a proactive and competitive spirit, which aligns well with an innovative and fast-paced environment. The focus on 'Green Skills' and sustainable practices in one internship also suggests a socially conscious approach. The candidate's skills align well with a Data Science Engineer role, particularly with their emphasis on ML, AI, and data analytics.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills and project execution capabilities through their hackathon participation and project descriptions. Their involvement in team-based projects and hackathons suggests an ability to collaborate effectively. The candidate's academic performance (9.32 CGPA, ranked 1st/2nd) indicates a strong work ethic and ability to learn quickly. However, the experience is primarily from virtual internships and personal projects, which may require further validation in a full-time operational setting.