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Chinnolla S. — Junior Data Analyst from India

Chinnolla S.

Junior Data Analyst

India Less than 1 year
Open to offersNew to Platform
Languages
EnglishHindi
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About

Sri Ram G. is a dedicated Data Analyst with a strong proficiency in SQL, Python, and Power BI, adept in data cleaning, analysis, and visualization to support data-driven decision-making. He completed a B.Tech in Computer Science Engineering with a focus on AI and ML from Malla Reddy Engineering. His experience includes an internship at Dataview Analytics, where he processed extensive datasets and developed Power BI dashboards to visualize key performance indicators, enabling business teams to track KPIs effectively across multiple regions. He has conducted in-depth analyses such as the Customer Churn Analysis in the telecom sector, illuminating churn patterns and suggesting early engagement strategies. He excels in creating dynamic sales dashboards which aid in strategic planning by identifying sales trends and performance metrics. His Google Data Analytics Certificate and top ranking in the SQL Hackerrank Challenge attest to his advanced analytical skills.

Experience

  • Data Analyst Intern

    Dataview Analytics · 2025 — 2025
    Processed and standardized a dataset exceeding 100,000 rows from various regions to facilitate weekly analytics, allowing business teams to monitor KPIs by geography and time. Created advanced Excel templates with lookup functions and pivot logic to significantly reduce reporting time for four departments. Developed Power BI dashboards for visualizing revenue trends, customer demographics, and monthly performance, which were frequently utilized by managers and analysts. Collaborated with four analysts and two senior managers to define and validate six KPIs, enhancing the reliability of reports and ensuring alignment with strategic goals.
  • Customer Churn Analysis

    Company not specified · 2025 — 2025
    Conducted analysis on the behaviors of 7,043 telecom customers to uncover churn patterns based on tenure, contract type, and monthly charges. Introduced new features, such as contract type buckets and tenure bands, to refine segmentation and generate insights. Created 11 visualizations, including histograms, box plots, and heatmaps, to identify segments at risk of churn. Discovered that 38% of churned customers held monthly contracts with less than three months of tenure, leading to recommendations for early engagement strategies.
  • Sales Dashboard for Regional Performance

    Company not specified · 2025 — 2025
    Executed SQL queries to join three sales-related tables, encompassing over 25,000 rows across a span of 12 months and five regions, resulting in analysis-ready datasets. Developed ten dynamic measures and KPIs in Power BI to monitor regional sales, returning trends, and product performance. Designed multipage dashboards with slicers and filters, enabling stakeholders to analyze data by region, product category, and time. Identified a 14% decline in sales post-festival in the South region, which informed a subsequent marketing recovery strategy.

Skills & Expertise

Education

  • B.Tech Computer Science Engineering(AI&ML)
    Malla Reddy Engineering · — — 2026

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