Help & Supportcareers@gravityer.com
Data Analyst with 1+ years in Python, SQL & 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 1+ of years experience in Python, SQL, Power BI, and Data Analysis. Skilled in transforming raw data into actionable insights through dashboards, statistical analysis, and Machine Learning models.
Loyola Academy, Hyderabad
Master of Science (M.Sc.) · Data Science
August 1, 2022 – June 30, 2024
Bhavans Degree College, Hyderabad
Bachelor of Science (B.Sc.) · M.S.Cs
August 1, 2018 – June 30, 2021
TAO Digital
Data Analyst
August 1, 2025 – Present
India
Narayana Agencies
Business Data Analyst
August 1, 2024 – August 1, 2025
India
Embrizon Technologies
Data Science Intern
April 1, 2024 – June 1, 2025
India
Sales Performance and Revenue Leakage Analysis
June 24, 2026 – Present
Analyzed 100K+ transactional sales records using advanced SQL to identify revenue leakage caused by high discounts, returns, and low-margin products. Designed interactive Power BI dashboards with KPIs and drill-downs by enabling data-driven pricing and profitability decisions. Delivered insights that highlighted 18% revenue leakage, with recommendations projected to improve profit margins by 12%.
Customer Churn and Retention Analysis
June 24, 2026 – Present
Analyzed customer records using SQL date logic, subqueries, and cohort analysis to identify churn patterns and high-risk customer segments. Built Power BI dashboards visualizing churn by tenure, usage behavior, and segments, revealing that early-stage customers contributed 35% of churn, with strategies projected to reduce churn by 8-10%. Translated analytical findings into targeted retention recommendations, prioritizing high-risk segments and enabling data-driven customer engagement strategies.
Operational Efficiency and Cost Optimization Analysis
June 24, 2026 – Present
Analyzed task-level operational data using SQL aggregations, CASE logic, and ranking functions to identify process inefficiencies and idle time across multiple workflows. Built Power BI dashboards to track efficiency KPIs and bottlenecks, uncovering 22% time loss and recommending optimizations projected to improve productivity by 15%.
Data Analytics with Python
NPTEL
January 1, 2023 – April 1, 2023
Cultural Fit Analysis
The candidate's project diversity (sales, customer churn, operational efficiency) and experience across different companies (TAO Digital, Narayana Agencies, Embrizon Technologies) suggest adaptability and a broad interest in applying data analysis to various business problems. Their academic background in Data Science and continuous learning through certifications (Data Analytics with Python) indicate a proactive and growth-oriented mindset, which aligns well with a dynamic work culture. The explicit mention of collaboration in their professional experience also points to a team-oriented approach.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking and problem-solving skills through their project descriptions, where they identify inefficiencies and propose data-driven solutions. Their experience in collaborating with cross-functional teams and business owners indicates good stakeholder communication. The focus on improving reporting reliability and optimizing processes suggests an operational fit for roles requiring efficiency and data accuracy.