Venu Manda
Data Analyst • Vijayawada, Andhra Pradesh • v************@gmail.com • +91*******077 • drivetube.ai/•••••
Professional Summary
Data Analyst with 0-1 years of experience focused on transforming data into actionable business insights using SQL, Python, and Power BI. Experienced in data cleaning, EDA, dashboard development, and basic machine learning model building to support data-driven decisions.
Technical Skills
Programming Languages: Python
Frameworks and Libraries: Matplotlib,Seaborn,Scikit-learn
Databases: SQL,MySQL
Data and Analytics: Data Cleaning,Exploratory Data Analysis,Data Modeling,Feature Engineering,Statistical Analysis,Hypothesis Testing,Power BI,Excel,Model Validation,Cross-Validation
Tools and Methodologies: Jupyter Notebook,VS Code,Git
Core Skills: Problem Solving,Communication,Team Collaboration,Attention to Detail
Work Experience
ExcelR
Data Science Intern
Completed instructor-led Data Science training focused on Python, exploratory analysis, and basic supervised ML model development.
Tech Stack: Python, Pandas, NumPy, Matplotlib, Seaborn, scikit-learn, Jupyter Notebook, MySQL, Power BI
- Performed end-to-end data preprocessing and feature engineering on tabular datasets using Python (Pandas, NumPy) to prepare data for modeling and reporting.
- Conducted exploratory data analysis with Matplotlib and Seaborn to identify patterns and inform feature selection and model hypotheses.
- Built and validated supervised ML models (logistic regression, decision trees) with scikit-learn; used cross-validation to evaluate model stability.
- Developed reproducible analysis notebooks in Jupyter to document workflows, model experiments, and results for peer review.
- Applied SQL and MySQL queries to extract, join, and aggregate source tables for downstream analysis and visualization.
- Translated analytical findings into Power BI visuals and summary reports to communicate insights and recommended next steps.
Deloitte
Data Analyst - Virtual Experience Program
Completed a Deloitte virtual data analyst program simulating consulting analytics projects focusing on cleaning, EDA, visualization and business-case reporting.
Tech Stack: Excel, Power BI, Python, SQL, MySQL, Jupyter Notebook
- Cleaned and transformed real-world datasets in Excel and Python to resolve inconsistencies and structure data for analysis.
- Performed exploratory analyses using Python and Power BI to surface trends, anomalies, and business drivers for the simulated client case.
- Designed and published interactive Power BI dashboards with calculated measures to present KPIs and support stakeholder decisions.
- Wrote SQL queries to summarize transactional data and produce aggregated metrics used in client-facing reports.
- Synthesized analytical findings into concise presentations with actionable recommendations for the virtual client scenario.
- Applied basic statistical tests and performance metrics to validate insights and support evidence-based recommendations.
Projects
Sales Analysis
Tools Used: SQL, Power BI, Excel
- Analyzed 10,000+ sales records using SQL to identify revenue trends and top-performing products and regions.
- Built interactive Power BI dashboards with drill-downs and slicers to enable stakeholders to explore sales by time, region, and product.
- Performed data cleaning and aggregation in SQL and Excel and documented ETL steps and key KPIs delivered to business users.
HR Analytics Dashboard
Tools Used: Power BI, DAX, Excel
- Developed an HR Analytics Dashboard to track attrition, workforce KPIs, and employee demographics using Power BI.
- Implemented DAX measures to calculate attrition rate and average tenure and visualized cohort trends to highlight retention risks.
- Integrated multiple HR datasets and provided role-level and location-level views to support leadership review.
Retail Sales Analysis
Tools Used: SQL, Excel
- Performed region-wise and product-level sales analysis using SQL queries with date filters and conditional logic to generate Excel reports.
- Identified high-performing categories and seasonal revenue trends and recommended inventory prioritization and promotional timing.
- Automated recurring Excel reports with pivot summaries to accelerate routine reporting for business users.
Education
Annamacharya Institute of Technology & Sciences
Bachelor of Technology, Electronics and Communication Engineering • Tirupati, Andhra Pradesh • 2022 – 2025
Sir C.R. Reddy Polytechnic College
Diploma, Electronics and Communication Engineering • Eluru, Andhra Pradesh • 2019 – 2022
Amaravani EM High School
SSC • Vuyyuru, Andhra Pradesh • 2019
Certifications
Power BI - Certified — Simplilearn
Data Analytics Essentials — Cisco
PCAP - Programming Essentials in Python — Cisco Networking Academy
Data Analysis & Business Case Simulation — Deloitte (Virtual Experience)
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