Help & Supportcareers@gravityer.com
Data Analyst with less than a year in SQL, Python & Power BI
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 Fresher with hands-on experience in SQL, Python, Power BI, and Excel for data cleaning, analysis, and visualization. Skilled in exploratory data analysis (EDA), dashboard development, and deriving actionable insights from business data. Built projects involving customer analytics, demand prediction, and sales analysis using real-world datasets. Strong analytical and problem-solving skills with a passion for transforming data into business decisions.
Kalasalingam Academy of Research and Education
M.Sc · Data Science
August 1, 2024 – June 30, 2026
The Madura College, Madurai
B.Sc · Information Technology
August 1, 2021 – June 30, 2024
BigDBiz Solutions
Machine Learning Intern
January 1, 2026 – April 1, 2026
India
Sharpened Mind Tech & Solutions Pvt. Ltd.
Python Developer Intern
January 1, 2024 – April 1, 2024
India
Customer Shopping Analytics Dashboard
June 1, 2026 – Present
Performed data cleaning, preprocessing, and exploratory data analysis (EDA) using Python and SQL to identify customer purchasing patterns. Analyzed customer segments, sales trends, subscription status, discount effectiveness, and product performance to generate actionable business insights. Developed an interactive Power BI dashboard with KPI visualizations to monitor customer behavior and support data-driven decision making.
Order Demand Prediction & Smart Rider Assignment
June 1, 2026 – Present
Built a machine learning model to predict location-wise order demand, achieving a cross-validated MAE of 0.98 for accurate demand estimation. Applied KMeans clustering to group 500 simulated riders into 12 delivery zones, enabling efficient rider distribution based on demand patterns. Developed a smart rider assignment system using geodesic distance to allocate the nearest available rider, achieving 51.2% rider utilization while maintaining standby capacity for new orders.
PDF RAG Chatbot
June 1, 2026 – Present
Developed a document question-answering application that enables users to upload PDF files and retrieve relevant information through natural language queries. Implemented an efficient document processing and retrieval pipeline using text extraction, vector search, and large language models to improve response accuracy. Built an interactive Streamlit interface for real-time PDF upload, intelligent querying, and user-friendly document exploration.
AutoML: A Lightweight Python Library for Automated ML with Text Classification and Self-Tuning Hyperparameters
17th International Conference on Science & Innovative Engineering (ICSIE), Chennai
April 1, 2026 – Present
Data Science using Python
Elusium Academy
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest in data science and analytics, aligning well with a Data Analyst role. The diversity of projects, from customer analytics to machine learning and NLP, indicates a broad curiosity and willingness to explore different domains. The pursuit of a Master's degree in Data Science further reinforces commitment to the field. The internship experiences, though short, show engagement in practical application of skills. Overall, the candidate appears to be a good cultural fit for a data-driven organization that values continuous learning and practical problem-solving.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving skills, particularly in optimizing rider assignment and developing an AutoML library. The ability to work on diverse projects (customer analytics, demand prediction, RAG chatbot) suggests adaptability and a proactive attitude. However, without specific assessment data on teamwork or stress handling, a comprehensive evaluation of operational fit is limited.