Help & Supportcareers@gravityer.com
Data Science with less than a year in Python, SQL, and Power BI for data analysis and predictive mod
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Third-year B.Sc. Data Science student (CGPA: 8.91, Top 5 in batch) at M.L. Dahanukar College of Commerce, Mumbai University, with hands-on expertise in Python, SQL, Power BI, and statistical analysis. Proven ability to translate complex datasets into actionable business insights through end-to-end data pipelines, interactive dashboards, and predictive models. Seeking an internship opportunity to apply data analytics, visualization, and automation skills in a real-world, data-driven environment.
M.L. Dahanukar College of Commerce, Mumbai University
B.Sc. in Data Science · Data Science
August 1, 2024 – June 30, 2027
R.R. College of Arts, Commerce and Science, Mumbai
Higher Secondary Certificate
N/A – May 31, 2024
Pawar Public School, Chandivali, Mumbai
ICSE Grade 10
N/A – May 31, 2022
InAmigos Foundation
Web Development Intern
May 16, 2026 – May 30, 2026
India
Tata Consultancy Services via Forage
Tata Data Visualisation Job Simulation
January 1, 2026 – June 1, 2026
India
Retail Sales Data Visualisation Dashboard
September 1, 2025 – March 1, 2026
• Built an end-to-end interactive Power BI dashboard to analyse retail sales trends across product categories, regions, and time periods. • Designed KPI cards, dynamic slicers, bar/line charts, and a geographical heat map to surface key business performance metrics. • Authored DAX measures for YoY growth, rolling averages, and revenue segmentation to enable multi-dimensional analysis. • Delivered a clean, stakeholder-ready report layout with drill-through functionality for granular data exploration.
Advanced Bank Deposit Predictive Analysis
June 1, 2025 – December 1, 2025
• Extended the bank deposit analysis to build a predictive model using logistic regression and decision tree algorithms to forecast customer subscription likelihood. • Conducted feature engineering, correlation analysis, and model evaluation using precision, recall, F1-score, and ROC-AUC metrics. • Applied time series techniques to identify seasonal trends in campaign effectiveness, yielding insights for targeted marketing strategies. • Achieved model accuracy improvements through hyperparameter tuning and cross-validation.
Personalised Learning Path Recommendation System
March 1, 2025 – August 1, 2025
• Designed a rule-based recommendation engine that analyses student performance data and generates tailored learning pathways. • Structured data input pipelines, applied performance scoring logic, and automated output generation for individualised recommendations. • Demonstrated proficiency in structured problem decomposition, algorithm design, and data-driven decision-making.
Bank Deposit Data Analysis
January 1, 2025 – June 1, 2025
• Performed comprehensive exploratory data analysis (EDA) on a real-world bank marketing dataset to identify patterns in customer deposit subscriptions. • Cleaned and preprocessed data by handling missing values, outliers, and categorical encoding to ensure data integrity. • Visualised key trends using Matplotlib and Seaborn; identified that call duration and previous campaign outcomes were the strongest predictors of deposit conversion. • Derived actionable business insights on customer segmentation and campaign optimisation.
Cultural Fit Analysis
The candidate's academic projects and internships show a strong alignment with data science and analytics roles. Their involvement in extracurricular activities like Rotaract Club and dance workshops indicates a well-rounded individual with leadership potential and a collaborative spirit. The diversity of projects, from bank data analysis to retail sales dashboards and recommendation systems, suggests adaptability and a broad interest in applying data science across different domains. The candidate is currently a student, which aligns with an entry-level or internship role.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving and critical thinking skills through project work. Their experience in leading community service initiatives and coordinating club operations suggests good teamwork and organizational abilities. The ability to present insights to C-suite questions indicates potential for effective communication in a business context. The candidate's academic background and project diversity suggest a proactive and learning-oriented attitude.