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Entry-level Data Science & Full Stack Developer with hands-on ML & Python experience
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science graduate with hands-on experience in Python, machine learning, and data analytics through academic and internship projects. Strong foundation in data processing, ML models, and full-stack development, with the ability to apply technical skills in structured engineering environments.
Mallareddy College of Engineering for Women
B.Tech · Computer Science & Engineering
August 1, 2021 – June 30, 2025
Sreesandeepani Junior College
Class XII · Board of Intermediate Education
June 1, 2019 – May 31, 2021
YBI Foundation
Business Analytics Virtual Intern
April 1, 2026 – May 31, 2026
India
Accenture / Forage
Data Analytics & Visualization Intern
January 1, 2026 – March 31, 2026
India
Bharat Intern
Full Stack Developer Intern
December 1, 2025 – May 31, 2026
India
Full Stack Blog Web Application
October 1, 2025 – December 1, 2025
Engineered a multi-user blog application with article publishing, comments, and content management features.
Handwritten Text Recognition System
September 1, 2025 – January 1, 2026
Trained a CNN model to recognize handwritten characters; applied data preprocessing and augmentation to improve model accuracy. Developed image processing pipelines using OpenCV and evaluated model performance using standard ML metrics.
Rainfall Prediction Model
July 1, 2025 – November 1, 2025
Developed a supervised ML model to forecast rainfall from historical weather data for agriculture and resource planning. Performed EDA, feature engineering, and model comparison to identify the best-performing algorithm.
Cyber Job Simulation
Unknown
June 1, 2026 – Present
Python for Data Science
Unknown
June 1, 2026 – Present
Data Analytics & Visualization Job Simulation (Accenture/Forage)
Accenture/Forage
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including machine learning, data analytics, and full-stack development, indicates a broad interest in technology and a willingness to explore different domains. The virtual internships with YBI Foundation and Accenture/Forage show initiative in gaining practical experience and aligning with industry practices. This breadth of experience suggests adaptability and a collaborative mindset, which are positive indicators for cultural fit in a dynamic team environment.
Soft Skills & Operational Fit
The candidate demonstrates an ability to apply analytical thinking and data preparation in business contexts, as evidenced by virtual internships. Project descriptions suggest a structured approach to problem-solving and an understanding of project lifecycle, from data preprocessing to model evaluation and dashboard design. The full-stack experience also implies an ability to work across different technical layers.