Help & Supportcareers@gravityer.com
Data Analytics with less than a year in data analytics, machine learning, and business intelligence.
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 CSE (AI & ML) student with 8.3 CGPA and hands-on experience in data analytics, machine learning, and business intelligence. Proficient in Python, SQL, and Tableau with practical experience translating raw data into actionable insights. Completed an internship analyzing housing market trends using Python data pipelines and interactive Tableau dashboards. Passionate about data-driven decision making and continuous learning.
Annamacharya Institute of Technology and Sciences
B.Tech · Computer Science Engineering (AI & ML)
August 1, 2022 – June 30, 2026
MJPAPBCWRIES Junior College
Intermediate (MPC)
June 1, 2020 – May 31, 2022
MJPAPBCWRIES School
SSC · State Board
June 1, 2019 – May 31, 2020
SmartBridge
Data Analytics Intern
May 1, 2025 – June 30, 2025
India
Hybrid Swarm-Optimized ML for Software Defect Prediction
December 1, 2025 – April 30, 2026
Designed hybrid machine learning framework combining Particle Swarm Optimization (PSO) for automated feature selection and hyperparameter tuning. Ingested, cleaned, and transformed software metrics datasets stored in PostgreSQL using Python (Pandas, NumPy). Benchmarked Random Forest, SVM, and Logistic Regression classifiers; achieved improved defect prediction accuracy through optimized feature subsets.
Personal Portfolio Website
April 1, 2025 – April 30, 2025
Built a fully responsive mobile-first portfolio website to showcase data analytics projects and technical skills.
Data Analytics with Tableau – Certified
Unknown
June 1, 2026 – Present
MCP Mega Workshop using AI Tools
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in Computer Science Engineering (AI & ML) and projects align well with a data analytics role. The internship and academic project demonstrate a proactive approach to gaining relevant experience. The certifications and achievements indicate a drive for continuous learning and engagement with AI/ML communities. The diversity of projects (academic, personal, internship) shows initiative and a broad interest in applying technical skills. However, the candidate is still a student, which implies a need for mentorship and structured guidance in a professional setting.
Soft Skills & Operational Fit
The candidate's resume indicates a results-driven approach and a passion for data-driven decision-making and continuous learning. Project descriptions suggest an ability to work on complex technical problems. However, without specific behavioral assessment data, it is difficult to fully assess soft skills like teamwork, problem-solving under pressure, or communication in a collaborative setting.