Aravinda Sai Arva
Data Analyst • Hyderabad, Telangana • a*************@gmail.com • +91*******931 • linkedin.com/••••• • drivetube.ai/•••••
Professional Summary
Data Analyst with 0 years of experience applying Python, SQL and Power BI to transform raw data into actionable business insights. Built automated MIS pipelines and interactive dashboards that reduced manual reporting effort and accelerated leadership decision cycles. Seeking an entry-level Data Analyst role to apply strong EDA, data-cleaning, and visualization skills to drive measurable improvements in reporting and product outcomes.
Technical Skills
Programming Languages: Python
Frameworks and Libraries: Pandas,NumPy,Scikit-learn,Random Forest,Feature Engineering,Model Evaluation,Matplotlib,Seaborn
Databases: SQL,T-SQL,Query Optimization,Data Extraction
Data and Analytics: Excel,Data Cleaning,Exploratory Data Analysis,Power BI,Power Query,Tableau,Dashboard Design,KPI Reporting,ETL Processes,Data Transformation,Data Validation,Data Reconciliation
Tools and Methodologies: Git,GitHub,MS Office,Power Automate,KPI Design,Trend Analysis,Agile
Work Experience
Innomatics Research Labs
Hyderabad, Telangana
Data Analytics & AI Intern
Feb 2026 – Present
Internship building automated reporting, ETL processes and self-service dashboards to provide KPI visibility and operational insights for leadership.
Tech Stack: Python, Pandas, SQL, Power BI, Power Query, Excel, DAX, Git
- Engineered automated MIS reporting pipelines using Python, SQL and Excel to replace manual processes, eliminating ~40% of manual reporting effort and enabling near real-time KPI visibility for leadership.
- Designed and delivered end-to-end Power BI dashboards (Power Query, DAX) for operational tracking and variance analysis, reducing reporting turnaround from days to hours and enabling self-service insights across teams.
- Performed exploratory data analysis on business datasets using Pandas and SQL to identify trends and anomalies; converted findings into executive-level insight reports used for strategic decisions.
- Standardized ETL workflows for data cleaning, validation and reconciliation across multiple structured sources, improving report accuracy and consistency and reducing recurring data issues.
- Collaborated with product and tech stakeholders to document data flows, schemas and analysis assumptions, improving data quality, traceability and stakeholder trust in reports.
- Optimized SQL queries and modularized Python scripts for scheduled reporting pipelines to improve performance and reliability of daily management reports.
Deloitte Australia (Forage)
Remote
Data Analytics Job Simulation
May 2025 – May 2025
Completed a Deloitte Australia job simulation focused on analyzing business datasets and producing actionable reports for stakeholders.
Tech Stack: Excel, Power BI, Data Visualization
- Analyzed real-world business datasets using Excel and visualization tools to identify key trends and KPIs relevant to business performance.
- Built clear visualizations and summary tables to communicate findings to non-technical stakeholders and support decision-making.
- Translated raw data outcomes into structured, actionable reports highlighting top opportunities and risks for the business.
- Documented analysis steps and assumptions to ensure reproducibility and clarity for handoff to business teams.
Projects
Sales Insights Dashboard - Chocolate Company
Tools Used: Power BI, SQL, Power Query, Excel, KPI Reporting
- Built an interactive Power BI dashboard analyzing INR 2.79 Cr+ in sales revenue across regions and product categories with KPI cards, trend reports and drill-through filters to support commercial decision-making.
- Automated data transformation pipelines with Power Query and wrote optimized SQL queries to reduce manual preparation time and ensure reliable, repeatable reporting.
Customer Churn Prediction
Tools Used: Python, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn
- Trained a Random Forest classifier on 5,000+ customer records achieving 89% accuracy through end-to-end EDA, feature engineering and preprocessing (null handling, encoding, scaling).
- Visualized churn patterns and user segments to produce non-technical insight reports that informed retention strategy recommendations.
Education
Trinity College of Engineering and Technology
B.Tech – Artificial Intelligence & Machine Learning • 2022 – 2026
Sai Chaithanya Junior College
Intermediate (MPC) • 2020 – 2022
Certifications
Advanced Excel Certification — Simplilearn SkillUp
MS Excel Certification — ExcelChamps
Career Essentials in Generative AI — Microsoft & LinkedIn
Advanced Course on Emerging Technologies — SAP Code Unnati
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