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Data Science with less than a year in Python, SQL, Excel, and Machine Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst and Computer Science Engineering graduate with a strong academic background and foundational experience in Python, SQL, Excel, and Machine Learning. Skilled in data interpretation, problem-solving, and analytical thinking. Seeking an entry-level Data Analyst opportunity to transform data into actionable insights and support business decision-making.
Vaagdevi Institute of Technology and Science, JNTU Anantapur
B.Tech · Computer Science Engineering
August 1, 2021 – June 30, 2025
Sri Chaitanya Junior College
Intermediate · MPC
June 1, 2019 – May 31, 2021
Keshava Reddy E.M High School
SSC
June 1, 2018 – May 31, 2019
Cyberbullying Tweet Detection Using Machine Learning
June 1, 2026 – Present
Developed a machine learning-based system to identify cyberbullying content from social media datasets. Performed text preprocessing, classification, and data analysis on tweet datasets. Categorized tweets into different cyberbullying-related classes. Applied machine learning techniques to automate harmful-content detection.
Computer Vision and Image Processing
NPTEL
June 1, 2026 – Present
Artificial Intelligence
EXTERNS CLUB
June 1, 2026 – Present
Fuzzy Sets, Logic and Systems & Applications
NPTEL
June 1, 2026 – Present
Web Development & JavaScript
EXCELR Raising Excellence
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background and project work align with a learning-oriented and technically focused environment. The certifications suggest a self-driven individual keen on expanding their knowledge base. However, the lack of professional experience or diverse project types limits the assessment of broader cultural fit, such as experience in collaborative team settings beyond academic projects.
Soft Skills & Operational Fit
The candidate lists analytical thinking, problem-solving, adaptability, learning agility, team collaboration, and communication skills as strengths. These are valuable for a Data Science role, but without behavioral assessment data or interview insights, their practical application and operational fit cannot be fully assessed.