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AI Engineer with less than a year in Data Analytics & Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Computer Science graduate with hands-on experience in data analytics, data engineering, software development, and AI-powered applications. Skilled in Python, Django, SQL, and Power BI with experience building ETL pipelines, REST APIs, chatbots, and interactive dashboards. Familiar with cloud platforms including Microsoft Azure and AWS S3.
Sandip University, Nashik
B.Tech · Computer Science & Engineering
August 1, 2021 – June 30, 2025
V.N. Naik Junior College, Nashik
XII – Science (HSC) · Science
June 1, 2020 – May 31, 2021
LSB Waje Vidyalaya, Sinner
X – SSC Board
June 1, 2018 – May 31, 2019
Sumago Infotech Pvt. Ltd.
Software Engineer Trainee
February 1, 2026 – Present
India
Learnwik Solutions Pvt Ltd.
Data Analyst Intern
August 1, 2025 – January 1, 2026
India
Project Status Chatbot
February 1, 2026 – Present
Developed a rule-based chatbot to track project and task status across a team, with responses formatted for readability using status icons and member-wise breakdowns. Implemented modules for overdue task alerts, member task queries, and project-level summaries using Django ORM with REST-style views. Built frontend chat interface using HTML, CSS, and JavaScript with real-time message rendering.
Skyline Real Estate Analytics
August 1, 2025 – Present
Designed an end-to-end data pipeline using the Medallion architecture (Bronze–Silver–Gold) to process structured real estate data from AWS and web sources. Built automated ETL pipelines using Azure Data Factory (ADF) to ingest data from AWS S3, REST APIs, and relational databases into Azure Data Lake Storage (ADLS).
TCS National Qualifier Test (NQT)
TCS
February 1, 2025 – Present
Data Visualization and Analysis using Power BI
Unknown
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's project diversity, spanning chatbot development and data analytics/engineering, shows adaptability and a broad interest in technical domains. The target role of 'AI Engineer' aligns well with the candidate's demonstrated skills in Python, data processing, and exposure to NLP. The personal projects indicate initiative and a proactive learning approach, which are positive indicators for cultural fit in a dynamic technical environment. However, the experience level is entry-level, which might require more mentorship.
Soft Skills & Operational Fit
The candidate's profile and project descriptions suggest a detail-oriented individual capable of working on end-to-end solutions, from data ingestion to application development. The 'Project Status Chatbot' indicates problem-solving skills and an ability to deliver functional applications. The 'Skyline Real Estate Analytics' project highlights structured thinking in data pipeline design. However, without specific psychometric or English test scores, a comprehensive assessment of soft skills like communication, teamwork, and stress handling is not possible.