Help & Supportcareers@gravityer.com
Data Science with less than a year in data analysis, visualization, and dashboard development.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Artificial Intelligence and Data Science graduate with practical experience in Excel, SQL, Python and Power BI. Skilled in data cleaning, EDA, dashboard development, data visualization, and business analytics through academic projects and internship experience. Proficient in transforming complex datasets into actionable insights, creating interactive dashboards, and supporting data-driven decision-making through analytical and reporting solutions.
Dhanalakshmi Srinivasan University
B.Tech · Computer Science (AI & DS)
August 1, 2021 – June 30, 2025
Personifwy
Data Science Intern
May 1, 2026 – Present
Bengaluru, Karnataka, India
Aishwi Technology Pvt Ltd
Junior Data Analyst Intern
May 1, 2026 – Present
Bengaluru, Karnataka, India
Retail Sales Analytics Dashboard
January 1, 2025 – December 31, 2025
Analyzed 3,200+ retail sales records using Excel, SQL, and Python to uncover trends in sales, profit, customers, and regional performance. Developed 12+ SQL business queries and performed exploratory data analysis using Pandas and Matplotlib. Built a 4-page interactive Power BI dashboard with KPI tracking, product analytics, customer analytics, and shipping performance insights.
E-Commerce Sales Analytics Dashboard
January 1, 2025 – December 31, 2025
Built an interactive Excel dashboard using Power Query, Pivot Tables, slicers, and KPI cards. Analyzed 25,000+ e-commerce records to evaluate customer behavior, revenue trends, and conversion metrics. Created dynamic visualizations for category performance, device analysis, payment trends, and cart abandonment tracking.
Bank Marketing Campaign Analysis
January 1, 2025 – December 31, 2025
Analyzed bank marketing data (45K+ customers) using Power BI to improve conversion rates. Performed data cleaning, transformation, and visualization to identify key factors like customer segmentation, contact frequency, and seasonal trends. Built an interactive Power BI dashboard to present insights and support data-driven business decisions.
Data Science Professional Certificate - Data Analysis using Python
IBM
June 1, 2026 – Present
Data Science Professional Certificate - Docker Essentials
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse domains like retail, e-commerce, and banking, showcasing adaptability. The target role of 'Data Science' aligns with their education in Computer Science (AI & DS) and internship experiences. The breadth of tools and concepts used (Excel, SQL, Python, Power BI, Docker) indicates a willingness to learn and apply various technologies. However, the experience level is entry-level, which might require more mentorship in a senior-level data science role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate complex datasets into actionable insights and support data-driven decision-making, which suggests a problem-solving mindset. The academic projects demonstrate initiative and a structured approach to data analysis. However, without specific behavioral assessment data, it's difficult to fully assess collaboration, stress handling, or work attitude.