Help & Supportcareers@gravityer.com
Data Analyst with 2+ years in data analysis, reporting, and AI tools
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 2+ years of experience in data analysis, reporting, dashboard development, and operational analytics. Proficient in SQL, Excel, and Power BI for core analytical work, with growing hands-on exposure to Python and ML fundamentals for automating workflows and building predictive insights. Comfortable managing multiple deliverables simultaneously, coordinating across teams, and translating raw data into clear, decision-ready outputs for business stakeholders. Uses Al tools daily to work faster and more effectively across analytical tasks.
Miranda House, Delhi University
B.El.Ed · Elementary Education
August 1, 2017 – June 30, 2021
Arbre Creations
Data Analyst
February 1, 2024 – Present
India
Customer Churn Prediction & Retention Dashboard
June 1, 2026 – Present
Built a classification model using scikit-learn on customer transaction data to predict churn risk achieved 85% accuracy; kept the scope grounded in business use: output was a prioritised list of at-risk customers for the retention team, not a research exercise. Automated the data extraction using Python and SQL; built a Power BI dashboard to monitor churn risk scores and retention KPIs week-over-week, so the business team could act on model outputs without needing to re-run the model themselves.
Kellogg's Noodles Swaziland - SKU-level Retail Intelligence Reporting Suite
June 1, 2026 – Present
Built a standardised weekly reporting suite consolidating SKU-level sales data from 7-Eleven and 24/7 retail chains dynamic Excel model with pivot views by product, outlet, region, and week-on-week movement. Delivers insight-ready client presentations alongside the data model: each report includes a 3-point narrative (what the data shows, what changed and why, what to action next) reducing the client team's analysis burden and making every output usable for decision-making.
Microsoft Azure Data Fundamentals (DP-900)
Microsoft
June 1, 2026 – Present
Proficiency in Microsoft Excel
Finladder
June 1, 2026 – Present
Data Analyst Job Simulation
BCG Forage
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including customer churn prediction and retail intelligence reporting, shows adaptability to different business problems. Their experience in managing analytics for a specific region (Africa) and collaborating with international partners (Tolaram) indicates a global mindset. The focus on delivering 'insight-ready client presentations' and 'decision-ready outputs' aligns with a results-oriented culture. The breadth of skills across data analysis, reporting, and some machine learning fundamentals suggests a willingness to learn and grow, which is positive for cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills in stakeholder management, clear written and verbal communication, independent problem-solving, and attention to detail. Their experience in coordinating with cross-functional teams and managing concurrent deliverables indicates good operational fit for roles requiring collaborative work and deadline management. The use of AI tools for accelerating SQL debugging and report narratives suggests an adaptive and efficient work attitude.