HARSHA VARDHAN DONTHI
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with less than a year in SQL, Python & Power BI
Results-driven Data Analyst with 1+ year of experience at Amazon and Sure Trust, skilled in SQL, PostgreSQL, Python, Power BI, and ETL development for business intelligence, KPI reporting, and data-driven decision-making. Experienced in exploratory data analysis, statistical analysis, data validation, root cause analysis, and dashboard development. Proven impact: 40% query optimization and 60% reporting automation. Strong analytical and problem-solving skills with ability to transform complex datasets into actionable business insights for cross-functional stakeholders.
Malla Reddy Engineering College (MREC) - Deemed University
Bachelor of Technology · Electronics & Communications Engineering
August 1, 2021 – June 30, 2025
Optimum Infosystem (Deployed at Amazon)
Data Operations Analyst
May 1, 2026 – Present
Hyderābād, Telangana, India
Sure Trust
Data Analyst Intern
November 1, 2025 – April 30, 2026
Hyderābād, Telangana, India
Valorant Match Analytics & EDA
January 1, 2026 – June 30, 2026
Performed comprehensive EDA on 10,000+ player and match records; analyzed win rates, combat scores, agent pick rates, and map performance using Python and statistical analysis. Conducted data cleaning, missing value treatment, and outlier detection improving dataset quality by 40%; built Power BI dashboards visualizing 15+ performance KPIs and gameplay trends. Generated actionable insights identifying key factors influencing match outcomes through trend analysis, root cause analysis, and data visualization techniques.
View ProjectZepto Sales & Inventory Analytics Platform
January 1, 2026 – June 30, 2026
Performed EDA and business analytics across 1,000+ SKUs; identified top 20% of products drove 80% of revenue, generating business recommendations for procurement and inventory strategy. Built interactive Power BI dashboards with DAX tracking revenue, inventory turnover, demand patterns, and category KPIs; applied forecasting analysis cutting stockout risk by 15%. Automated KPI reporting workflows via VBA and ETL pipelines, reducing reporting time by 60% and saving 6+ hours/week through process automation.
Car Rental Analytics System - Operational Analytics
January 1, 2026 – June 30, 2026
Designed normalized relational schema across 5+ tables; developed SQL-based business reports on 200+ transactions surfacing revenue patterns, booking trends, and operational efficiency metrics. Implemented data validation, referential integrity, and quality assurance eliminating 100% of duplicate records; reduced report generation time by 35% through query optimization.
SQL Intermediate
HackerRank
June 1, 2026 – Present
Data Analytics
Sure Trust
June 1, 2026 – Present
Power BI Fundamentals
Microsoft
June 1, 2026 – Present
Python for Data Science
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from game analytics to sales and inventory, shows adaptability and a broad interest in applying data analysis across different domains. Their academic background in Electronics & Communications Engineering, combined with self-driven certifications and practical experience, suggests a proactive learning attitude. The roles and projects align well with a data-centric culture, emphasizing data quality, reporting, and business intelligence.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills, evidenced by their ability to perform root cause analysis, identify trends, and optimize data processes. Their experience in collaborating with cross-functional teams and documenting business rules indicates good communication and operational fit. The project descriptions highlight a results-driven approach with quantifiable impacts.