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Sri Ram Goud

Data Analyst • Hyderabad, Telangana • s**********@gmail.com • +91*******219 • linkedin.com/••••• • drivetube.ai/•••••

Professional Summary

Data Analyst with internship experience leveraging SQL, Python, Excel, and Power BI to clean, model, and visualize multi-source datasets, deliver KPI dashboards, and generate insights that inform strategic business decisions.

Technical Skills

Programming Languages: Python
Databases: SQL
Data and Analytics: Power BI,Tableau,Exploratory Data Analysis,Descriptive Statistics,Feature Engineering,Insight Generation,Data Cleaning,Data Transformation,Joins & Aggregations
Tools and Methodologies: MS Excel,PivotTables,Power Query

Work Experience

Dataview Analytics
Remote
Data Analyst Intern
Apr 2025 – Jun 2025
Supported a data analytics consultancy providing KPI reporting and dashboard solutions for multi-regional business teams.
Tech Stack: SQL, MS Excel, Power BI, Python
  • Cleaned and standardized 100k+ multi-region transaction rows using SQL and Excel, producing analysis-ready tables for weekly KPI reviews.
  • Built Excel templates with nested VLOOKUP, INDEX-MATCH, and PivotTables, reducing manual report preparation time by 40% across finance, sales, operations, and marketing departments.
  • Developed interactive Power BI dashboards visualizing revenue trends, customer mix, and month-over-month performance that were adopted by 20+ managers and analysts.
  • Partnered with four analysts and two senior managers to define and validate six core KPIs, improving reporting accuracy and strategic alignment.
  • Automated data refresh workflows between SQL Server and Power BI, cutting refresh latency from hours to minutes and ensuring near real-time insights.
  • Presented geographic performance variance analyses to senior leadership, influencing quarterly marketing and sales strategy discussions.

Projects

Customer Churn Analysis | Mar 2025 – Apr 2025
Tools Used: Python, Pandas, Matplotlib, Seaborn
  • Analyzed behaviors of 7,043 telecom customers to uncover churn drivers related to tenure, contract type, and monthly charges.
  • Created contract-type buckets and tenure bands that improved customer segmentation and interpretability of results.
  • Produced 11 visualizations including histograms, box plots, and heatmaps to highlight churn-prone segments.
  • Discovered that 38% of churned users were on monthly contracts with <3-month tenure and recommended early engagement interventions.
Sales Dashboard for Regional Performance | Feb 2025 – Mar 2025
Tools Used: SQL, Power BI, DAX
  • Joined three sales tables (25k+ rows) across 12 months and five regions using optimized SQL joins to create a consistent data mart.
  • Authored 10 dynamic DAX measures and KPIs to track regional sales, return rates, and product performance in Power BI.
  • Designed multipage dashboards with slicers and filters enabling stakeholders to drill down by region, product category, and time period.
  • Identified a 14% post-festival sales drop in the South region; insight informed a targeted marketing recovery plan.

Education

Malla Reddy Engineering College
B.Tech, Computer Science Engineering (AI & ML) • Hyderabad, India • 2026

Certifications

Google Data Analytics Professional Certificate — Coursera • 2024

Achievements

  • Top 5% – SQL Hackerrank Challenge — 2024: Ranked among top 150 of 3,000+ participants for advanced SQL problem-solving.
  • Best Major Project Award – Power BI Academic Performance Dashboard — 2026: Recognized by Malla Reddy Engineering College for developing a dashboard analyzing performance across six departments over three years.

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