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Data Analyst with less than a year in Python, Machine Learning, and Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated Computer Engineering student with a strong foundation in Python, Machine Learning, and data analysis tools like Power BI and Excel. Proven ability to apply technical skills in academic projects focusing on real-time surveillance, sales analysis, and customer segmentation. Eager to contribute to data-driven decision-making and innovative solutions.
Sinhgad Academy of Enigineering
B.E Computer Engineering · Computer Engineering
August 1, 2021 – June 30, 2026
Yashwantrao Chavan College of Science, Ambajogai.
12th
June 1, 2020 – May 31, 2021
Shri Ganeshnath Vidhyalay Sarsa, Latur.
10th
June 1, 2018 – May 31, 2019
Real-Time Falls Detection and Unknown Intrusions via Smart Surveillance
January 1, 2026 – June 1, 2026
Developed an AI-based smart surveillance system for real-time fall detection and intrusion monitoring. Implemented computer vision techniques to identify human falls and distinguish between known and unknown individuals. Integrated real-time alert generation to improve emergency response and security monitoring.
Dairy Sales Analysis And Dashboard
January 1, 2026 – June 1, 2026
Built an interactive dashboard to track dairy sales performance and regional trends. Performed data cleaning and visualization to identify high-demand products. Provided business insights using Power BI reports to support decision-making.
Customer Segmentation Using Clustering (Python)
January 1, 2026 – June 1, 2026
Performed data cleaning, preprocessing, and exploratory data analysis (EDA) on customer datasets using Python. Applied K-Means clustering to segment customers based on behavior patterns. Used Elbow and Silhouette methods to identify optimal clusters. Visualized results using PCA and scatter plots to derive marketing insights.
Python for Beginners
Simplilearn
June 1, 2026 – Present
SQL and its basics
Mindluster
June 1, 2026 – Present
Data analyst course
Simplilearn
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show an interest in diverse applications of data analysis, from surveillance to sales and customer segmentation. This breadth suggests an openness to different problem domains. However, without professional experience or extracurriculars beyond a single participation, it's difficult to fully assess cultural fit, adaptability, or initiative in a team environment.
Soft Skills & Operational Fit
The candidate's academic projects indicate an ability to work on structured tasks and apply learned concepts. The project descriptions suggest a basic understanding of problem-solving within a data analysis context. However, there is no information to assess stress handling, team collaboration, or communication in a professional setting.