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Data Analyst with less than a year in SQL, Python, and 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
Detail-oriented Data Analyst with hands-on experience collecting, cleaning, and analyzing large datasets to generate actionable insights and support business decisions. Proficient in SQL, Python (Pandas, NumPy), and Advanced Excel, with hands-on experience building Power BI dashboards, performing data validation, and automating recurring data processes. Proven ability to collaborate with cross-functional stakeholders, present findings clearly, and apply statistical techniques to drive measurable improvements.
Lakireddy Balireddy College of Engineering
Bachelor's Degree · Computer Science and Engineering (AI & Machine Learning)
August 1, 2021 – June 30, 2025
DigitalEdify
Data Analyst Intern
July 1, 2025 – February 1, 2026
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1stop.ai
Data Analyst Intern – Banking & Financial Services
April 1, 2025 – May 1, 2025
India
Insight360: Customer Retention, Service Excellence & Workforce Analytics
June 1, 2026 – Present
• Designed a Power BI call centre dashboard using DAX and Power Query to analyze 5,000+ calls, 8 agents, and 6 KPIs -cutting manual reporting by 30% and enabling faster, data-backed service improvement decisions for stakeholders. • Built a Power BI churn dashboard using DAX and data modeling to analyze 7,000+ records across 3 contract types - pinpointing 2 high-risk segments and flagging a 15% churn reduction opportunity through proactive retention strategies. • Developed a Power BI D&I tracker using DAX-driven data modeling across 500+ employee records and 4 leadership levels -mapping gender representation and promotion trends across 3 workforce dimensions to deliver a measurable equity baseline.
View ProjectData Analytics Lifecycle: From Raw Data to Business Insights
June 1, 2026 – Present
• Cleaned and transformed 100,000+ records using Python (Pandas), SQL, and Excel, resolving 500+ inconsistencies with 95%+ data accuracy. Reduced processing time by 40% through optimized pipelines and advanced SQL queries. • Performed EDA on 50,000+ records using Pandas, Matplotlib, and Seaborn, building pivot tables and VLOOKUP models to identify 10+ key business trends. Designed 5+ visualizations (heatmaps, box plots), improving reporting efficiency by 35%. • Built an interactive Power BI dashboard with 10+ KPIs using Power Query and 20+ DAX measures for advanced analytics. Enabled performance tracking across 5+ dimensions, enhancing reporting accuracy by 35%.
View ProjectData Analytics & Visualization
Accenture
June 1, 2026 – Present
Data Analytics Job Simulation
Deloitte
June 1, 2026 – Present
Data Analysis with Python
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including customer retention, service excellence, workforce analytics, and financial services, indicates a broad interest in applying data analysis across various domains. This adaptability suggests a good cultural fit for dynamic environments. The focus on delivering measurable business impact aligns well with results-oriented team cultures. However, the experience is primarily internship and personal projects, which might require some ramp-up in a full-time corporate setting.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, and attention to detail, as evidenced by their project descriptions and internship responsibilities. Their experience in collaborating with stakeholders to gather requirements and present findings indicates good communication and teamwork skills, which are crucial for operational fit in a data analyst role.