Data Analyst

SANTHOSH KUMAR

+91-701******* ****************@*****.*** LinkedIn Github Bangalore, India

SUMMARY: I’m a data analyst with hands-on experience in data analysis, business intelligence, and data-driven decision making. Proficient in python, sql, power bi, and excel for data cleaning, exploratory data analysis (eda), data visualization, and dashboard development. Experienced in analyzing large datasets, identifying trends, building reports, and delivering actionable business insights. Strong understanding of kpis, business requirements, and stakeholder reporting. Proven ability to translate complex data into meaningful insights that support strategic planning, operational efficiency, and business growth.

Technical skills:

Programming: Sql/my-sol, html, basic java. Algorithm development, python programming, statistics. Data & ml: Eda, data analysis,financial derivatives,data cleaning, regression & classification, feature engineering, statistics, credit analysis, critical thinking. Tools: Power bi, jupyter notebook, mysql workbench, github, google colab, vs code, pycharm, medium. Libraries: Pandas, numpy, scikit-learn, matplotlib, seaborn, streamlit, pytrends. EDUCATION:

Sai Vidya Institute of Technology [ Visveswaraya Technological University - VTU] Bengaluru, India BE - Graduate Program in Bachelor of Engineering Aug 2016 – Sep 2020 Imarticus Learning Bengaluru, India

PGDA - Post Graduate Program in Data Science and Analytic [With Gen-AI] Aug 2025 – Dec 2025 EXPERIENCE:

Project Engineer, United Group. Bengaluru, India Jan 2021 – June 2025

Collected, cleaned, and analyzed project data related to cost, materials, timelines, and resource utilization using Excel and structured reporting methods.

Built and maintained dashboards and reports to track KPIs such as project progress, cost variance, productivity, and schedule adherence.

Performed data validation, trend analysis, and variance analysis to support data-driven decision making for project managers and stakeholders.

Collaborated with cross-functional teams including planning, procurement, and finance to translate business requirements into analytical insights.

Prepared executive-level reports and presentations by converting raw site data into actionable insights for leadership. INTERNSHIP EXPERIENCE:

Data Analyst Intern, Rigve Soft Pvt. Ltd. Bengaluru, India.June 2025 – November 2025

Analyzed structured and semi-structured datasets using Python, SQL, and Excel to support business and product decision-making.

Performed data cleaning, preprocessing, and exploratory data analysis (EDA) to identify trends, patterns, and anomalies.

Built interactive dashboards and reports using Power BI to track key business metrics and KPIs.

Developed and maintained SQL queries for data extraction, transformation, and reporting automation.

Applied statistical analysis and basic machine learning models to generate actionable insights and improve forecasting accuracy.

Collaborated with product managers, developers, and business stakeholders to translate business requirements into analytical solutions.

Delivered data-driven insights through clear documentation, visualizations, and presentations to support leadership decisions. PROJECTS [Git-Hub] - https://github.com/SanthoshKumar0403 1. Heart Disease Prediction:

Predictive Modeling: Developed a Classification Model (Random Forest) achieving 82.0% Accuracy on clinical data to assess patient heart disease risk.

Skills: Python (Scikit-Learn), 10-Fold Cross-Validation, Feature Scaling, Predictive Analytics. 2. E-commerce Sales Analysis:

BI & Profitability: Designed an interactive Power BI dashboard by integrating fragmented data sets using a Star Schema and advanced DAX measures.

Result: Identified high-volume, negative profit margin product categories, resulting in an actionable recommendation for cost restructuring to optimize profit.

Skills: Power BI, DAX, Data Modeling, Power Query. 3. Logistics Database Management:

Database Architecture: Architect-ed and implemented a fully Normalized RDBMS for a logistics company using SQL, defining relationships for robust data integrity.

Skills: Advanced SQL, RDBMS Design, Data Integrity, Views, Stored Procedures. 4. HR Employee Attrition Analysis:

Attrition Analysis: Visualized employee attrition trends using a Tableau dashboard to identify key drivers (e.g., job satisfaction, work environment).

Result: Employed Level of Detail (LOD) expressions to show that low-satisfaction employees had a 3X higher turnover rate, informing retention strategy.

Skills: Tableau, Data Visualization, LOD Expressions, HR Analytics. 5. Sales Interactive Dashboard:

Dashboard Development: Developed an interactive sales performance dashboard in MS Excel using Pivot Tables and Slicers for dynamic data filtering.

Result: Enabled sales managers to accurately track regional and representative targets, improving quarterly goal tracking accuracy by 15%.

6. Bengaluru House Price Prediction:

The project successfully built a Linear Regression model for Bengaluru house price prediction, utilizing extensive data cleaning, outlier removal, and feature engineering on a real-world dataset.

Skills: · Programming Language: Python

Data Manipulation & Analysis: Pandas, NumPy

Machine Learning (ML): Scikit-Learn (sklearn)

Classification: Random Forest Classifier (Heart Disease)

Regression: Linear Regression (House Prices)

Model Evaluation: 10-Fold Cross-Validation, Feature Importance

Preprocessing: Standardization, One-Hot Encoding (OHE)

Data Visualization: Matplotlib, Seaborn

Development Environment: Jupyter Notebook, Git/GitHub CERTIFICATIONS & ACHIEVEMENTS:

• Post Graduate Certificate from Imarticus Learning Bangalore.

• Badminton Player in University.

• Got Selected in State University Of New York at New Paltz, United State. An American University For my Masters.

• Holds a Cerificate from JPMorgan Chase & Co. Quantitative Research Virtual Experience Program on Forage - December 2025.

• Holds a Cerificate FROM British Airways Data Science Job Simulation on Forage - December 2025.

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