Skip to content

Chintham Sevanth

Data Analyst • Tirupati, Andhra Pradesh, India • c***************@gmail.com • +91*******131 • drivetube.ai/•••••

Career Objective

Data Analyst with 0 years of experience applying Python, SQL, Power BI, and statistical analysis to clean data, build dashboards, and deliver insights that support business decisions. Strong foundation in data manipulation with Pandas and NumPy, dashboard design in Power BI and Excel, and translating analysis into actionable recommendations. Seeking an entry-level analyst role to contribute to data-driven teams and expand applied analytics skills.

Education

Mohan Babu University
Bachelors in Computer Science • Tirupati, Andhra Pradesh, India • 2022 – 2026

Technical Skills

Programming Languages: Python
Frameworks and Libraries: Pandas,NumPy,Jupyter Notebook,matplotlib,seaborn
Databases: SQL,Relational Databases,Data Extraction with SQL,Joins and Aggregations
Data and Analytics: Power BI,Excel,PivotTables,Power Query,Dashboard Design,Data Cleaning,Data Wrangling,ETL Concepts
Statistics & Analysis: Statistical Analysis,Descriptive Statistics,Hypothesis Testing
Business & Communication: Data Storytelling,Report Automation,Requirements Gathering

Projects

Ride Booking (Uber)
Tools Used: Python, Pandas, SQL, Power BI, Data Cleaning, Dashboard Design
  • Cleaned and merged ride, driver, and user datasets using Python and Pandas to produce a consolidated analytics table for operational reporting.
  • Wrote SQL queries to aggregate trip-level metrics and identify peak demand windows, enabling targeted operational adjustments.
  • Built interactive Power BI dashboards visualizing ride volume, utilization, and lead sources, reducing manual reporting time by 40%.
  • Derived actionable insights that informed operational changes and contributed to a 25% increase in lead generation tracked in dashboard KPIs.
XYZ Institute - Institutional Reporting
Tools Used: Excel, SQL, Power BI, Data Cleaning, Report Automation
  • Performed data cleaning and validation on student and administrative datasets to ensure completeness and consistency before analysis.
  • Transformed and aggregated data in Excel and with SQL queries to prepare standardized inputs for reports and dashboards.
  • Designed Power BI dashboards to present enrollment, attendance, and performance metrics that reduced report preparation effort by 40%.
  • Collaborated with stakeholders to refine reporting requirements and deliver dashboards tailored to institutional decision-making.
Adidas Sales Analytics
Tools Used: Excel, SQL, Python, Data Visualization, Dashboard Design
  • Analyzed sales and transaction datasets to identify trend drivers and customer segments that informed sales strategy adjustments.
  • Used SQL and Excel to transform and join sales datasets, enabling faster retrieval of time-series and product-level metrics.
  • Built interactive Excel dashboards and visualizations that highlighted conversion funnels and top-performing SKUs.
  • Insights supported sales initiatives that contributed to a 25% increase in lead generation and improved targeting of promotions.

Certifications

Introduction to Data Analytics — IBM
Excel Basics for Data Analytics — IBM
Data Visualization and Dashboards with Excel — IBM
Databases and SQL for Data Analytics — IBM

Powered by Drivetube · Create your own profile at drivetube.ai