Vishnu vardan Reddy

Data Analyst

Bengaluru, India 0+ yrs exp 81 · Excellent

About

Detail-oriented Data Analyst skilled in Python, SQL, Power BI, Tableau, and Advanced Excel across the full analytics lifecycle - data cleaning, data wrangling, exploratory data analysis (EDA), statistical analysis, feature engineering, and predictive modeling. Experienced in building ETL pipelines, KPI dashboards, and business reports that turn raw data into actionable insights - delivered models with 90-92% accuracy, dashboards that improved revenue visibility by 20%, and pipelines that cut ETL processing time by 40%. Strong in stakeholder reporting and data storytelling, with cloud exposure on AWS and GCP. Open to relocation.

Skills & Expertise (58)

Pandas Intermediate

6.5/10

0.5

Years Exp

Random Forest Intermediate

6.5/10

0.5

Years Exp

Logistic Regression Intermediate

6.5/10

0.5

Years Exp

Feature Engineering Intermediate

6.5/10

0.5

Years Exp

Statistical Analysis Intermediate

6.5/10

0.5

Years Exp

Data Cleaning Intermediate

6.5/10

0.5

Years Exp

Tableau Intermediate

6.5/10

0.5

Years Exp

Power BI Intermediate

6.5/10

0.5

Years Exp

NumPy Intermediate

6.5/10

0.5

Years Exp

SQL Intermediate

6.5/10

0.5

Years Exp

Python Intermediate

6.5/10

0.5

Years Exp

Git ARIMA SARIMA Agile Time Series Forecasting Cross-Validation Model Evaluation AWS GCP ETL Pipeline Design REST APIs Dashboard Design Requirement gathering GitHub Jupyter Notebook Google Colab VS Code Google Sheets Business Intelligence KPI Reporting Stakeholder Reporting Database Management Data Storytelling Data Wrangling SciPy scikit-learn MySql Postgresql DAX SAS MS Excel Matplotlib Seaborn Plotly Streamlit K-Means Clustering EDA Hypothesis Testing A/B testing Cohort Analysis Churn Analysis Anomaly Detection Data Quality validation Linear Regression XGBoost Decision Trees

Work Experience

Data Analytics Intern

ExcelR Solutions

Jul 2025 - Dec 2025

Gathered, cleaned, and organized 10,000+ records from multiple sources using Python (Pandas, NumPy) and SQL; applied statistical analysis, hypothesis testing, outlier detection, missing-value imputation, and encoding to improve data quality and boost model performance by ~8%. Designed and deployed an end-to-end analytical pipeline covering data wrangling, EDA, feature engineering, model training, and hyperparameter tuning, achieving 90% accuracy tracked with Precision, Recall, F1-Score, and ROC-AUC. Built interactive Tableau and Power BI style dashboards from SQL-queried data with 10+ KPIs and drill-through filters, improving revenue and performance tracking visibility by 20% for senior stakeholders. Streamlined the sales data pipeline with SQL and Python, cutting ETL processing time by 40% and moving refresh cycles from daily to near real-time; presented findings to management and cross-functional stakeholders.

Analytics Intern

Compsoft Technologies

Oct 2023 - Nov 2023

Executed a full data wrangling and cleaning pipeline on 5,000+ patient records using Pandas and NumPy while maintaining data accuracy, consistency, and confidentiality. Partnered with the team on requirement gathering and built a chronic disease prediction model using Random Forest and Logistic Regression with EDA, feature selection, and cross-validation, achieving 92% accuracy and an F1-Score of 0.91. Deployed the trained model as a real-time desktop reporting tool using Tkinter, giving non-technical end users accessible, easy-to-interpret outputs.