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Data with less than a year in Python, SQL & Django.
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Assessing your cultural and operational fit
A detail-oriented Data Analyst Intern with 4 months of hands-on experience in optimizing MySQL queries, performing data manipulation using Pandas and NumPy, and utilizing Python for data cleaning and analysis. Proficient in Django for backend development and skilled in designing solutions for real-world problems through projects like Smart Toll Collection System and House Price Prediction, demonstrating strong analytical and problem-solving capabilities.
Garden City University
Master of Science · Information Technology
August 1, 2024 – July 1, 2026
Govt First Grade College
Bachelor of Science · Computer Science, Mathematics
June 1, 2021 – August 1, 2024
Scholar Logic
DATA ANALYST | INTERN
December 1, 2025 – March 1, 2026
India
Django Real-Time Chat Application (Backend)
May 1, 2026 – May 1, 2026
Developed chat application using Django and Django Channels to enable instant messaging between users. Implemented WebSocket-based communication for continuous client-server interaction, improving real-time message delivery. Designed backend logic and database models to efficiently handle message processing and storage.
Smart Toll Collection System
January 1, 2026 – January 1, 2026
Designed an Automatic Number Plate Recognition (ANPR) and RFID-based prototype for toll automation. Applied the Design Thinking framework to identify pain points and optimize user experience. Technologies Used: Python, Mysql, ANPR and software logic: RFID sensors.
House Price Prediction
November 1, 2025 – November 1, 2025
Data Collection: Gathered house price data from a reliable dataset. Data Extraction and Analysis: Analyzed the dataset to understand patterns, missing values and correlations between features. Data Preprocessing: Handled missing values, encoded categorical variables and scaled numerical features. Feature Engineering: Created new features or selected important ones to improve model performance.
Database Management Essential
Coursera
May 1, 2025 – Present
Python Scripting: Files, Inheritance, and Dataset
Coursera
May 1, 2025 – Present
Machine Learning with Big Data
Coursera
May 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse interest in areas like ANPR, real-time applications, and predictive modeling, which indicates adaptability. The internship experience in data analysis aligns well with a 'Data' target role. The breadth of skills listed (Python, SQL, Django, ML libraries) suggests a willingness to learn and apply various technologies. However, the limited professional experience makes it difficult to fully assess cultural fit beyond technical alignment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured problems and apply learned frameworks (Design Thinking). The internship experience suggests an understanding of data manipulation and analysis workflows. However, there is insufficient data to assess stress handling, team collaboration, or advanced problem-solving in a professional setting.