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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
B.Tech graduate in Computer Science Engineering with strong interest in Data Structures & Algorithms, Data Analytics, and Artificial Intelligence. Skilled in Python, SQL, Deep Learning, and Data Visualization with hands-on experience in building AI models, dashboards, and extracting actionable insights from structured and unstructured data. Passionate about solving real-world problems using AI-driven solutions.
MIT Academy of Engineering
Bachelor of Engineering · Computer Science Engineering
August 1, 2022 – June 30, 2026
Sant Mai Junior College
12th · HSEB
June 1, 2020 – May 31, 2022
St. Joseph's Convent High School
10th · SSC
June 1, 2008 – May 31, 2020
Innobytes
Developer Intern
June 6, 2025 – August 9, 2025
Pune, Maharashtra, India
HR Analytics Dashboard
June 18, 2026 – Present
This project is developed to analyze employee data and understand the key factor effecting employee attrition in an organization. Tools Used: Power BI, DAX, Data Cleaning & Transformation, Microsoft Excel.
View ProjectPizza Sales Analysis using SQL
June 18, 2026 – Present
This project focuses on pizza sales data using SQL to extract meaningful business insights. Tools & Technologies Used: MySQL Workbench, Joins, Queries, Aggregations, Date and Time Functions.
Diwali Sales Analysis using Python
June 18, 2026 – Present
This project is developed to analyze the Diwali sales data to identify the customer purchasing patterns, high-revenue product categories, and demographic trends. Tools & Technologies Used: Jupyter Notebook, Python(numpy, pandas, matplotlib, seaborn), EDA, Data Visualization, Data Cleaning.
Super Store Sales and Forecast Dashboard
June 18, 2026 – Present
This project is an interactive dashboard to analyze historical sales data and generate a 15 day sales forecast. Tools Used: Power BI, DAX, Data Cleaning & Transformation, Microsoft Excel.
Soyabean Plant Leaf Disease Detection
June 18, 2026 – Present
Developed an AI-based soyabean plant leaf disease detection system using Efficient Net B4 model. Improves early diagnosis and crop management. Technologies Used: Python, Efficient Net B4, Keras/TensorFlow, Deep Learning, Image Processing.
Microsoft Power BI Data Analyst
Microsoft
July 1, 2025 – Present
The candidate scored 94% on the 'Data Scientist — Artificial Intelligence' test, indicating a very strong grasp of the core concepts and practical application skills required for the role.
Strengths
Limitations
Cultural Fit Analysis
The candidate's academic projects show a diverse interest in data analysis, machine learning, and dashboard creation, indicating a willingness to explore different facets of data science and AI. The internship experience, though not directly AI-focused, demonstrates practical application of web development skills. The target role of 'AI Engineer' aligns well with the 'Soyabean Plant Leaf Disease Detection' project and the high score in the AI test. However, the overall breadth of experience is limited to academic projects and a short internship, which might require more exposure to industry best practices and collaborative environments for a senior role.
Soft Skills & Operational Fit
The candidate lists problem-solving, analytical thinking, communication, team collaboration, and time management as soft skills. While these are valuable, the psychometric test score (185/500) suggests potential areas for development in logical reasoning, work attitude, stress handling, and team collaboration, which are crucial for operational fit in a senior role. The English test score of 67/100 indicates average communication clarity.