Help & Supportcareers@gravityer.com
Data Scientist with less than a year in Data Analytics & 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
Analytical and results-driven Bachelor of Technology graduate from Audisankara Institute of Technology, with hands-on experience in data analytics, SQL, and exploratory data analysis (EDA) through real-world projects on Swiggy, Spotify, Amazon datasets. Proficient in Python (Pandas, NumPy), SQL, Excel, and Zoho Analytics, with a strong foundation in data cleaning, statistical analysis, and insight generation. Seeking an entry-level Data Scientist role to apply data-driven techniques and contribute to impactful business solutions.
Jawaharlal Nehru Technological University – Anantapuram
B.Tech · Electronics & Communication Engineering
August 1, 2021 – June 30, 2025
Swiggy Customer Analytics
January 1, 2026 – Present
Identified key business questions related to customer ordering behavior, delivery performance, and restaurant demand, and performed exploratory data analysis using SQL, resulting in actionable insights on peak order times and high-demand locations. Analyzed large transactional datasets to uncover patterns in delivery delays and order frequency, improving decision-making for operational efficiency. Used multiple SQL joins (INNER, LEFT, FULL) with ON conditions to combine datasets effectively. Designed optimized SQL queries for data extraction and transformation, enhancing data retrieval speed and reporting accuracy.
Amazon Churn Prediction
January 1, 2026 – Present
Addressed the problem of predicting customer purchase behavior, and developed machine learning models (Random Forest, XGBoost, SVM, CATBoost) using Scikit-learn, resulting in improved model performance (AUROC optimization). Evaluated model performance using metrics such as AUROC, precision, and recall, ensuring reliable outcomes. Performed data preprocessing and feature engineering, including handling missing values and multicollinarity, enhancing model accuracy and robustness. Applied SHAP explainability to identify major churn drivers like customer inactivity, satisfaction, & engagement.
Spotify User Segmentation and Clustering Analysis
January 1, 2026 – Present
Explored user listening behavior and music trends, and performed data cleaning and analysis using Python(Pandas, NumPy), resulting in insights on top artists, genres, and user engagement patterns. Visualized keyb trends using Matplotlib and Seaborn, enabling better understanding of music popularity and user preferences. Engineered relevant features to analyze streaming patterns, improving the depth of analytical insights.
Skill-Oriented Course(SOC) on Data Structures with Java (Value-Laden)
Unknown
June 1, 2026 – Present
Certified internship in Robotics
TeckyBot
June 1, 2026 – Present
Data Scientist
SD HUB Qutubshahi Skill Development Hub
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying data science concepts. The diversity of projects (customer analytics, user segmentation, churn prediction) indicates a broad interest within the data science domain. The certifications, while not directly related to data science for all, show a willingness to learn and acquire new skills. The target role of 'Data Scientist' aligns well with the project experience.
Soft Skills & Operational Fit
The candidate highlights solution-oriented development, analytical thinking, attention to detail, team collaboration, adaptability, and time management. These attributes suggest a positive operational fit, though they are self-reported and not validated by assessment data.