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Entry-level Data Analyst passionate about data collection, analysis, and machine learning model buil
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Passionate about data collection, data analyzing, data cleaning, data modelling, performing exploratory data analysis and dashboard creation (Power BI, Tableau). Model building in machine learning.
JNTU Ananthapur
B.Tech · Computer Science and Engineering
August 1, 2022 – June 30, 2026
National Junior College Adoni
Intermediate Education
June 1, 2020 – May 31, 2022
ZPHS Kammarachedu
Secondary Education
June 1, 2019 – May 31, 2020
Heart Disease Prediction with ML
January 1, 2024 – June 1, 2026
Leveraged Python, Pandas, Numpy, Scikit-learn, Statistics, Stream lit API for model development
NPTEL Certificate (Cloud Computing)
NPTEL
January 1, 2025 – Present
SkillDzire Certificate (AI)
SkillDzire
January 1, 2025 – Present
IIRS Cretificate (Remote Sensing and Digital Image Analysis)
IIRS
January 1, 2024 – Present
IIRS Certificate (Geocomputation and Geo-web services)
IIRS
January 1, 2024 – Present
Achieved 94% on the Data Scientist — Artificial Intelligence test, indicating a robust grasp of the subject matter.
Strengths
Limitations
Cultural Fit Analysis
The candidate's academic project 'Heart Disease Prediction with ML' and certifications in AI, Cloud Computing, Remote Sensing, and Geocomputation indicate a proactive learning attitude and a broad interest in data-related fields. This diversity of interests and continuous learning aligns positively with a culture that values growth and innovation. The stated soft skills also suggest a collaborative mindset.
Soft Skills & Operational Fit
The candidate lists problem-solving, team collaboration, communication skills, and consistency as soft skills. The psychometric test score of 375/500 (75%) suggests good logical reasoning, work attitude, stress handling, and team collaboration, which aligns well with the demands of a Data Analyst role.
Achieved a perfect 100% on the Power BI test, demonstrating expert-level knowledge and practical skills.
Strengths
Limitations