Help & Supportcareers@gravityer.com
Data Analyst with less than a year in data analysis & visualization
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 in analyzing operational and business data using SQL, Python, and Power BI. Skilled in data cleaning, exploratory data analysis, and building dashboards to track key performance metrics such as SLA, AHT, and revenue trends. Experience in identifying patterns, optimizing processes, and delivering actionable insights to support data-driven decision-making.
K.S.R. College of Arts and Science for Women
Bachelor of Science
August 1, 2023 – June 30, 2023
Government Girls Higher Secondary School
Higher Secondary Education
June 1, 2020 – May 31, 2020
Tiruchengode
Secondary Education
June 1, 2018 – May 31, 2018
RV Groups
Data Analyst Intern
July 1, 2025 – February 1, 2026
Karnataka, India
Workforce Analytics Dashboard
June 24, 2026 – Present
Analyzed workforce and call center data using SQL (joins, CTEs, window functions) to calculate absenteeism, SLA compliance, and agent performance metrics Performed exploratory data analysis (EDA) in Python (Pandas, NumPy, Matplotlib) to identify trends, correlations, and performance gaps Built an interactive Power BI dashboard to track KPIs including AHT, shrinkage, and service levels, enabling data-driven decision-making Developed performance ranking models to identify top and low-performing agents, improving operational insights Automated data cleaning and transformation processes, reducing manual reporting effort.
Sales & Customer Insights Analysis
June 24, 2026 – Present
Analyzed sales data using SQL (joins, aggregations, window functions) to identify top-performing products, revenue trends, and customer segments Conducted exploratory data analysis (EDA) in Python (Pandas, Matplotlib) to uncover purchasing patterns and seasonal trends Built an interactive Power BI dashboard to visualize key metrics including revenue, customer distribution, and regional performance Applied customer segmentation techniques to classify high-value and low-value customers, improving business insights Optimized data transformation and cleaning processes for accurate reporting
JPMorgan Quantitative Research Program
Forage
January 1, 2026 – Present
DATA ANALYST
Udemy
January 1, 2025 – Present
SDET
Qsipder
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity (workforce analytics, sales & customer insights) and the range of tools used (SQL, Python, Power BI, Excel) suggest adaptability and a willingness to learn new technologies. The certifications, including a JPMorgan program, indicate a proactive approach to professional development. The experience, though an internship, shows alignment with the target role's demands, suggesting a good cultural fit for a data-driven environment.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, and attention to data accuracy and quality, which are crucial for a Data Analyst role. Their experience in collaborating with team leads and stakeholders indicates good teamwork and communication skills. The ability to translate business problems into analytical solutions suggests a practical, results-oriented approach.