Data Analyst with less than a year in Data Management & Business Intelligence
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Analyst with 6 months of industry experience managing and analyzing large-scale datasets at Planetcast Pvt Ltd. Delivered end-to-end projects including telecom customer churn analysis on 7,000+ records and an interactive retail sales forecasting dashboard using SQL, Python, and Power BI. Skilled in data cleaning, KPI development, trend analysis, and translating data into actionable business decisions. Currently advancing expertise in Advanced SQL and dashboard development. Seeking to bring analytical depth to a high-impact data team.
Kamala Institute of Technology and Sciences, Karimnagar
B.Tech · Electronics and Communication Engineering
N/A – June 30, 2025
Planetcast Pvt Ltd
Data Management
August 1, 2025 – January 1, 2026
India
Retail Sales Analytics & Forecasting System
April 1, 2025 – May 1, 2025
Analyzed multi-store and multi-category retail sales data across 12+ months to identify revenue trends and seasonal patterns. Built KPIs including Total Revenue, Month-over-Month (MoM), and Year-over-Year (YoY) growth using calculated metrics in Power BI. Forecasted future revenue using time-series techniques including moving averages and trend analysis to improve planning accuracy. Developed an interactive dashboard with dynamic KPIs, charts, and slicers adopted by management for weekly decision-making.
Customer Churn Analysis
March 1, 2025 – April 1, 2025
Analyzed behavior of 7,043 telecom customers to identify churn patterns based on tenure, contract type, and monthly charges. Engineered contract-type buckets and tenure bands to improve customer segmentation and reduce analysis ambiguity. Generated 11 visualizations including histograms, box plots, and heatmaps to highlight churn-prone customer segments. Uncovered that 38% of churned users were on monthly contracts with tenure under 3 months, enabling targeted early engagement strategies.
Data Analytics Certification
UNLOX, Bangalore
January 1, 2025 – Present
Google Data Analytics Certificate
Coursera
January 1, 2024 – Present
AIML Using Python
DEXTERITY
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a focus on practical business problems (customer churn, sales forecasting) which aligns well with a results-oriented culture. The certifications indicate a proactive approach to learning and skill development. The experience in data management and collaboration suggests an ability to work within structured environments. However, the limited professional experience means the breadth of exposure to diverse team dynamics and corporate cultures is still developing.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to collaborate with cross-functional teams and fulfill ad-hoc requests, suggesting good teamwork and responsiveness. The automation of reporting tasks points to an efficiency-oriented mindset. However, with only 6 months of experience, the depth of operational fit in complex, fast-paced environments is yet to be fully proven.