Help & Supportcareers@gravityer.com
Data Analyst with 1+ years in SQL, Python, and 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 with hands-on experience turning retail, e-commerce, marketing, HR, and finance data into actionable business insights. Skilled in SQL, Python, R, Power BI, Tableau, Looker Studio, and Machine Learning, with delivered projects spanning predictive analytics, customer behaviour, workforce attrition, and campaign performance.
Manipal Academy of Higher Education (Online)
MSc. Data Science · Data Science
November 1, 2023 – November 1, 2025
Malabar Christian College, Calicut
BSc. Mathematics · Mathematics
June 1, 2020 – May 1, 2023
Zoople
Data Analyst Intern
January 1, 2026 – May 1, 2026
Kozhikode, Kerala, India
Appolos English School
Accountant cum Digital Marketer
March 1, 2025 – September 1, 2025
Kozhikode, Kerala, India
Customer Segmentation Analysis
June 1, 2026 – June 1, 2026
Built a customer segmentation project using Python, SQL, and Power BI; developed an interactive dashboard revealing Clothing as the top category ($104,264 revenue) and Middle-Aged customers as the highest-revenue segment ($89K), with only 27% subscription adoption – recommending category expansion, subscription growth, and targeted middle-aged marketing to boost retention and revenue.
View ProjectIBM HR Employee Attrition Dashboard
June 1, 2026 – June 1, 2026
Analysed 1,470 employee records across 28 variables; built an interactive Excel dashboard identifying overtime (30.5%) and Early Career segment (35.8%) as top attrition drivers, delivering 6 retention recommendations targeting the company's 16% attrition rate.
View ProjectMarketing Analysis Dashboard
May 1, 2026 – May 1, 2026
Created a Tableau campaign analytics dashboard. Used LOD expressions to correct a critical CPA aggregation error (₹198 → ₹103, 92% inflation) and tracked KPIs (ROI, CPA, CTR, Conversion Rate) across ₹10.42L in spend, identifying Product C as top performer (33% share, ROI 155.85) and flagging ₹1.5-2L in recoverable spend efficiency through channel reallocation.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a proactive approach to learning and applying data analysis techniques across various domains (retail, HR, marketing). The pursuit of a Master's degree while also gaining practical experience indicates a strong drive and commitment. The blend of technical and business-oriented projects suggests a good fit for roles requiring both analytical rigor and business acumen. The personal projects demonstrate initiative and self-directed learning, which are positive indicators for cultural fit in a dynamic environment.
Soft Skills & Operational Fit
The candidate demonstrates good communication skills through clear project descriptions and experience in collaborating with stakeholders. Their project diversity suggests adaptability and a problem-solving mindset. The experience as an Accountant cum Digital Marketer, while not directly a Data Analyst role, shows exposure to business operations and marketing metrics, which can be beneficial for understanding business context in data analysis.