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Software Development Engineer with 1+ years in Data Analysis & App Development
Sanjana Kumari is an aspiring Software Development Engineer currently pursuing a B.Tech in Computer Science, with 1.7 years of hands-on experience through internships. She has a strong foundation in programming languages like Java and Python, complemented by skills in data analysis, front-end development, and machine learning. Her projects demonstrate her ability to tackle challenges in credit card fraud detection, e-commerce data analysis, and face detection, preparing her for dynamic roles in the tech industry.
IILM University
B. TECH · Computer Science
August 1, 2022 – June 30, 2026
Saint Joseph's School
12th Class C.B.S.E
June 1, 2020 – May 31, 2021
Saint Joseph's School
10th Class C.B.S.E
June 1, 2018 – May 31, 2019
AGRATAS EDUTECH BY AICTE
Android App Development Trainee
January 11, 2025 – March 10, 2025
India
NTPC Limited
Intern
January 1, 2025 – Present
India
CREDIT CARD FRAUD DETECTION
June 1, 2026 – Present
It involves identifying and preventing unauthorised use of your credit card fraud detection. This process uses various tools and techniques to monitor transactions flag suspicious activities and prevent fraudsters from succeeding.
View ProjectZEPTO DATA ANALYSIS
June 1, 2026 – Present
This project demonstrates the end-to-end process data analysts use to transform raw e-commerce data into actionable business insights, from initial exploration and cleaning to advanced analysis.
View ProjectFACE DETECTION IN PYTHON OPEN CV
June 1, 2026 – Present
To show how a computer can automatically detect human faces in images in an image or video.
View ProjectJava Programming
Great Learning
June 1, 2026 – Present
Skill up in Tableau from Infosys Springboard
Infosys Springboard
June 1, 2026 – Present
Front End Development
Great Learning
June 1, 2026 – Present
Hands-on Deep Learning Training from Infosys Springboard
Infosys Springboard
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse areas like data analysis, face detection, and fraud detection, showing a breadth of interest. The internships, though short-term, expose them to industrial IT applications and Android development. This diversity indicates an openness to learning and adapting to different technical domains. However, the projects are academic and lack real-world impact or team collaboration details, which are crucial for assessing cultural fit in a senior role. The target role is 'Software Development Engineer', and while the candidate has foundational skills, the depth required for a senior role is not yet evident.
Soft Skills & Operational Fit
The candidate lists 'Organizing', 'Time management', 'Research and data Analysis', and 'Communication' as soft skills. The project descriptions are clear, indicating a foundational level of communication. The academic projects and internships suggest an ability to follow instructions and complete defined tasks. However, the experience level is very junior, and the operational fit for a senior SDE role is currently low due to limited practical, complex problem-solving experience.