Help & Supportcareers@gravityer.com
Data Analyst Intern with less than a year in SQL & Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Data Analyst with hands-on experience in SQL, Python, and advanced Excel — the core stack for sales analytics and lead management. Proven ability to analyze large datasets, build self-service dashboards in Power BI and Tableau, and translate data into actionable business recommendations. Experienced in automating reporting workflows and presenting KPI insights to non-technical stakeholders. Eager to apply analytical skills to optimize sales performance and lead allocation in a fast-paced environment.
Saintgits College of Applied Science, Kottayam
MSc · Artificial Intelligence
August 1, 2022 – June 30, 2024
Saintgits College of Applied Science, Kottayam
BCA · Computer Applications
August 1, 2019 – June 30, 2022
Knovista Technologies
Data Analytics Intern
January 1, 2026 – Present
Cochin, Kerala, India
Sales Analysis Dashboard
January 1, 2026 – Present
Built a comprehensive dashboard tracking regional revenue, product mix, and sales trends - enabling data-driven decisions for sales leadership. Implemented drill-down filters and DAX measures to surface performance breakdowns by region and time period, mirroring lead-level analytics use cases.
HR Analytics Dashboard
January 1, 2026 – Present
Developed an interactive dashboard tracking headcount, attrition, and performance metrics using DAX and drill-through filters, providing self-service analytics to stakeholders.
Customer Churn Analysis Dashboard
January 1, 2026 – Present
Designed an end-to-end churn analysis dashboard using Pivot Tables, VLOOKUP, INDEX-MATCH, and dynamic charts to surface customer retention KPIs. Demonstrated advanced Excel capabilities directly applicable to lead tracking, distribution reporting, and sales funnel monitoring.
Movie Recommendation System
January 1, 2026 – Present
Built a content-based recommendation engine with collaborative filtering; applied indexing strategies to optimise data retrieval speed — demonstrating Python automation and pipeline efficiency.
Melanoma Detection
January 1, 2026 – Present
Developed a CNN model achieving 85%+ validation accuracy — showcasing strong Python skills for building and evaluating data-intensive models.
Financial Sales Analysis Dashboard
January 1, 2026 – Present
Developed a multi-page Power BI dashboard tracking revenue and profit trends, budget vs. actuals, and product/region performance — providing finance and sales teams with a unified view of financial health. Used DAX measures to calculate dynamic KPIs (gross margin, YoY growth, target variance) and interactive slicers to enable self-service filtering by region, product category, and time period. Enabled sales managers to identify underperforming segments and reallocate focus areas — directly applicable to lead prioritisation and sales performance optimisation.
Cultural Fit Analysis
The candidate's project portfolio demonstrates a diverse range of applications for data analysis, from sales and HR to financial and even machine learning (recommendation systems, image detection). This breadth of interest and application suggests adaptability and a willingness to tackle different types of data challenges. The target role of 'Data Analyst Intern' aligns well with the candidate's current internship experience and educational background in Artificial Intelligence, indicating a clear career path and potential for growth within a data-centric organization.
Soft Skills & Operational Fit
The candidate's project descriptions and professional summary indicate a detail-oriented individual with a focus on delivering actionable insights. The experience in stakeholder presentations and translating complex data suggests good communication and operational fit for roles requiring data interpretation and reporting. However, the lack of specific soft skill assessments makes a deeper evaluation challenging.