Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with less than a year in data cleaning, analysis & dashboard creation.
B.Tech student specializing in Computer Science and Engineering (Big Data Analytics) at Parul University. Motivated Data Analyst Fresher with a strong foundation in SQL, Power BI, Python, and Excel, and hands-on experience in data cleaning, analysis, and dashboard creation through academic and self-driven projects. Strong analytical mindset with a passion for converting data into actionable business insights.
Parul Institute of Engineering and Technology, Vadodara
B.Tech / B.E. · Computer Science and Engineering (CSE)
January 1, 2022 – April 1, 2026
Maharashtra Board
Class XII
N/A – January 1, 2022
CBSE Board
Class X
N/A – January 1, 2020
Orchid Management Consultancy
Data Analytics Intern
January 25, 2026 – April 21, 2026
Pune, Maharashtra, India
Codec Technologies
Data Science Intern (Online)
December 1, 2025 – March 1, 2026
India
Pizza Sales Analytics
December 1, 2025 – January 1, 2026
Analyzed pizza sales data using MS SQL Server to extract, clean, and aggregate order-level information. Developed interactive Power BI dashboards to track KPIs such as total revenue, order volume, and average order value.
Netflix Movie, TV shows Analytics
October 1, 2025 – November 1, 2025
Analyzed Netflix content data to identify trends across genres, release years, ratings, and countries using Power BI. Created interactive dashboards with slicers to visualize content distribution, growth over time, and popular categories. The dashboard enables quick insights into platform content strategy and viewer preferences.
SMS Fraud Detection Using Machine Learning
June 1, 2025 – October 1, 2025
Developed an SMS fraud detection system using machine learning techniques to classify messages as fraudulent or legitimate. Performed text preprocessing and feature extraction using NLP techniques such as TF-IDF. Trained and evaluated classification models to improve detection accuracy and reduce false positives.
NPTEL COMPUTER NETWORK AND INTERNET PROTOCOL
NPTEL
June 1, 2026 – Present
NPTEL Introduction To Internet Of Things
NPTEL
June 1, 2026 – Present
Data Science With AI
TOPS Technology
June 1, 2026 – Present
SQL (Advanced)
HackerRank
June 1, 2026 – Present
Python (Basic)
HackerRank
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse domains like sales analytics, media content analysis, and fraud detection, showcasing adaptability and a broad interest in applying data skills. The internships, though short-term, align well with a Data Analyst role, indicating a clear career path. The breadth of tools and techniques used (SQL, Power BI, Python, ML concepts) suggests a willingness to learn and engage with various aspects of data. However, the academic nature of most projects and the limited professional experience mean that cultural fit in a fast-paced, senior-level corporate environment is yet to be fully demonstrated.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an analytical mindset and a passion for converting data into actionable insights. Their academic projects and internships suggest a proactive approach to learning and applying data analysis techniques. However, the lack of detailed descriptions for soft skills or team collaboration in the provided data makes it difficult to fully assess operational fit beyond technical contributions.