Help & Supportcareers@gravityer.com
Data Analyst with less than a year in 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 Analytics Intern with hands-on experience in SQL, Python, Power BI, and BigQuery, specializing in data preparation, dashboard development, and KPI reporting. Skilled in transforming complex datasets into actionable insights through data analysis, visualization, and business intelligence. Strong analytical mindset with experience supporting data-driven decision-making initiatives.
Bharati Vidyapeeth Deemed University College of Engineering, Pune
Bachelor of Technology · Computer Engineering
N/A – June 30, 2026
Tronsoftech Pvt. Ltd.
Data Analytics Intern
June 1, 2025 – August 31, 2025
India
Customer Churn Analytics & Predictive Modeling
June 23, 2026 – Present
Extracted, integrated, and prepared 7,000+ customer records from SQL Server, Excel, and CSV sources using SQL, Python, and Pandas, enabling robust data collection, data preparation, customer analytics, and business intelligence reporting. Performed data cleaning, transformation, feature engineering, exploratory data analysis (EDA), statistical analysis, customer segmentation, and predictive analytics to identify churn drivers, customer behavior patterns, retention opportunities, and optimization strategies, achieving 85%+ model accuracy. Designed interactive Power BI dashboards, KPI reports, and performance reporting solutions to monitor customer retention metrics, churn trends, and business performance indicators, delivering actionable insights, stakeholder-ready visualizations, and data-driven recommendations for strategic decision-making.
View ProjectMarketing Campaign Analytics Dashboard
June 23, 2026 – Present
Developed a Campaign Analytics and Business Intelligence Dashboard using Power BI, SQL, and DAX to monitor campaign effectiveness, ROI, conversion rates, customer response rates, customer engagement, and channel performance across marketing campaigns. Automated data collection, data preparation, ETL workflows, KPI tracking, and performance reporting using SQL, Python, and Power Query, reducing manual reporting effort by 80% while improving data accuracy and reporting efficiency. Conducted marketing analytics, trend analysis, and insights generation through interactive data visualizations and stakeholder-focused dashboards, identifying optimization opportunities that improved campaign ROI by 35% and supported data-driven decision-making.
View ProjectCultural Fit Analysis
The candidate's projects show a proactive approach to learning and applying data analytics skills to real-world business problems (marketing campaigns, customer churn). The use of diverse tools and technologies (SQL, Python, Power BI, PySpark, AWS S3) indicates adaptability and a willingness to explore different solutions. The focus on improving efficiency and generating actionable insights aligns well with a data-driven culture. However, the candidate's limited professional experience (one internship) means their adaptability and collaboration skills in a long-term team setting are yet to be fully proven.
Soft Skills & Operational Fit
The candidate demonstrates a strong analytical mindset and a results-oriented approach, as evidenced by quantifiable achievements in projects (e.g., 'reducing manual reporting effort by 80%', 'improved campaign ROI by 35%'). Their experience in developing stakeholder-focused dashboards suggests good communication and presentation skills for conveying data insights. The internship experience indicates an ability to work in a professional setting and contribute to operational improvements.