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Entry-level Data Science Engineer with Python, Java, SQL, and deep learning skills
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven B.Tech Data Science student with a strong foundation in developing impactful projects using Python, Java, SQL and deep learning techniques. Demonstrated expertise in transforming innovative ideas into practical solutions while effectively leading teams and fostering clear communication. Committed to leveraging technical skills and collaborative abilities to drive project success and deliver exceptional outcomes. Passionate about harnessing data-driven insights to solve complex challenges and contribute to organizational growth.
Malla Reddy University
B.Tech · Data Science
August 1, 2022 – June 30, 2026
Ramam Global High School
High School Diploma
N/A – May 31, 2020
Instagram reach analysis
June 1, 2026 – Present
Objectives: The goal is to assess Instagram reach to understand unique user views and optimize engagement strategies effectively. Key features: Key features include reach vs. impression comparison, content type analysis, demographic insights, optimal posting times, and hashtag performance tracking. Technologies used: Tools like Instagram Insights, Meta Business Suite, data visualization platforms, programming languages like Python, and the Instagram Graph API support the analysis. Outcome: The analysis leads to improved audience targeting, higher engagement, better content performance, and increased visibility on Instagram.
Python for Everybody
Coursera (Duke University)
June 1, 2026 – Present
Data Analytics
NPTEL
June 1, 2026 – Present
AWS Cloud Foundations
AWS Academy
June 1, 2026 – Present
Resume Writing
Saylor
June 1, 2026 – Present
Cultural Fit Analysis
The candidate is currently an undergraduate student with academic projects. The 'Instagram reach analysis' project, while relevant to data analysis, is academic in nature. The candidate's participation in a hackathon and workshops indicates a willingness to learn and collaborate, which are positive cultural indicators. However, the lack of professional experience and diverse project portfolio makes it difficult to fully assess cultural fit for a senior role. The target role is 'Data Science', and the candidate's education and project align with this field, but the depth required for a senior position is not yet evident.
Soft Skills & Operational Fit
The candidate's self-identified strengths include Time Management, Adaptability, Communication Skills, and being a 'Smart worker'. The English test score of 52/100 suggests that while the candidate can communicate, there might be room for improvement in professional language usage and clarity, which is crucial for operational fit in a senior role. The psychometric test score is 0, indicating insufficient data to assess logical reasoning, work attitude, stress handling, and team collaboration.