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Data Science with 1+ years in Python & Data Visualization.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A motivated AI and Machine Learning student with a strong interest in understanding data and developing solutions using Python. Passionate about continuous learning and problem-solving, with a positive attitude toward new challenges. Eager to apply academic knowledge to real-world projects, improve technical skills, and grow professionally while contributing meaningfully to team-oriented and innovative environments.
Nalla Malla Reddy Engineering College
B. Tech · Artificial Intelligence and Machine Learning
August 1, 2022 – June 30, 2026
Sri Chaitanya Junior College
Intermediate
June 1, 2020 – May 31, 2022
Pragna The School
Class 10th
June 1, 2020 – May 31, 2020
PwC
Data Visualization
August 1, 2024 – June 1, 2026
Telangana, India
PwC
Power BI
August 1, 2024 – June 1, 2026
Telangana, India
Data analyst-SAP Analytics cloud
SAP
June 1, 2026 – Present
Data Analytics
Forage
June 1, 2026 – Present
Power BI
Forage
June 1, 2026 – Present
Summer Of AI Internship Program
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's profile indicates an eagerness to learn and apply academic knowledge to real-world projects, which aligns with a growth-oriented culture. The internships at PwC and certifications from Forage and SAP suggest a proactive approach to skill development. The project 'Lung Vision: A deep learning approach for lung disease detection' shows an interest in impactful applications of AI/ML, which could be a good cultural fit for organizations focused on innovation and social good. However, the limited professional experience means cultural fit is largely based on stated aspirations and academic pursuits.
Soft Skills & Operational Fit
The candidate expresses motivation for continuous learning, problem-solving, and contributing to team-oriented environments, indicating a positive operational fit. However, the experience level is very junior, suggesting a need for significant mentorship and structured guidance.