Help & Supportcareers@gravityer.com
Data Science with less than a year in SQL, Power BI, and Python, passionate about business intellige
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 Science graduate and aspiring Data Analyst / Business Analyst with strong skills in SQL, PostgreSQL, Power BI, Python, and data visualization. Experienced in building interactive dashboards, performing RFM analysis, exploratory data analysis (EDA), and transforming raw data into business insights. Passionate about business intelligence, analytics, and solving real-world problems using data-driven approaches.
Sheth N.K.T.T College of Science and Arts
Bachelor of Science · Data Science
N/A – June 30, 2026
E-Commerce Customer Lifecycle & RFM Analytics Dashboard
March 1, 2026 – June 1, 2026
Designed and implemented an end-to-end customer analytics dashboard in PostgreSQL and Power BI to examine purchasing patterns and overall business performance. Executed RFM (Recency, Frequency, Monetary) analysis leveraging advanced SQL techniques such as CTES, Window Functions, NTILE(), and Views. Classified customers into segments including Champions, Loyal Customers, Potential Loyalists, and At Risk to support lifecycle analysis. Built interactive Power BI reports featuring KPI cards, churn indicators, revenue trajectory visuals, and customer segmentation insights. Authored DAX measures and PostgreSQL views to enable KPI monitoring and churn evaluation.
Netflix Data Analysis System
February 1, 2026 – March 1, 2026
Created an interactive analytics application with Python and Streamlit to explore Netflix content trends and viewing preferences. Conducted data cleaning, preprocessing, and exploratory data analysis (EDA) to derive actionable insights from Netflix datasets. Developed a recommendation engine using machine learning algorithms to deliver personalized content suggestions. Constructed dashboards to study genre composition, ratings distribution, and audience behavior patterns.
SQL for Data Analysis
Udemy
June 1, 2026 – Present
Power BI Certification
Simplilearn
June 1, 2026 – Present
Deloitte Data Analytics Job Simulation
Deloitte
June 1, 2026 – Present
Tata GenAI Powered Data Analytics Job Simulation
Forage
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a focus on practical applications of data science, aligning with a problem-solving culture. Their interest in continuous learning and diverse certifications (Udemy, Simplilearn, Deloitte, Forage) indicates a proactive and growth-oriented mindset. The projects cover different domains (Netflix content, E-commerce), showing versatility. However, the lack of professional experience means their ability to navigate corporate culture and team dynamics is yet to be proven.
Soft Skills & Operational Fit
The candidate's project descriptions highlight an ability to translate raw data into business insights and a passion for solving real-world problems using data-driven approaches. Their continuous learning and proactive pursuit of certifications suggest a strong work ethic and adaptability. Experience with GitHub indicates an understanding of version control, which is beneficial for collaborative environments.