Harsh Gautam

Data Analyst with hands-on experience in Python, SQL, Power BI, Excel, Machine Learning, Data Visualization, ETL Processes, Dashboard Development, and Statistical Analysis. Experienced in cleaning, transforming, and analyzing structured and unstructured datasets to generate actionable business insights. Proficient in Power BI, Advanced Excel, MySQL, Pandas, NumPy, Scikit-Learn, and KPI Reporting.

Seeking Data

Analyst opportunities to leverage analytical and problem-solving skills in data-driven environments.

Data Analyst Intern - Dhiyotech Pvt. Ltd.

(2024-01 - 2024-12)

• Cleaned, transformed, and analyzed 10,000+ records using Python, Pandas, and Excel to improve data quality and support business reporting.
• Developed 3 interactive Power BI dashboards to monitor KPIs, trends, and operational performance, reducing manual reporting efforts by an estimated 30%.
• Conducted Exploratory Data Analysis (EDA) on multiple datasets to identify patterns, outliers, and actionable insights for decision-making.
• Automated data preprocessing workflows, decreasing data preparation time by approximately 25%.

Machine Learning Intern - Vaishnav.Tech

(2025-02 - 2025-04)

• Built and evaluated 5+ machine learning models using Python, Scikit-learn, Pandas, and NumPy for classification and regression tasks.
• Trained models on datasets containing 15,000+ records, achieving up to 88–92% accuracy on selected prediction tasks.
• Performed feature engineering and hyperparameter tuning to improve model performance by approximately 10–15%.
• Visualized model results and key metrics using Matplotlib and Seaborn, facilitating performance comparison and analysis.

Data Analyst Intern - IBM SkillBuild

(2025-07 - 2025-08)

• Analyzed and preprocessed 3+ datasets containing over 4,000 records using Python, Pandas, and Excel.
• Conducted EDA and data cleaning to identify trends, missing values, and inconsistencies in datasets.
• Developed 2 interactive Power BI dashboards to visualize KPIs and present actionable business insights.
• Improved reporting efficiency by an estimated 25% through automation and visualization techniques.

Data Analysis Intern - Cognifyz Technologies

(2025-08 - 2025-09)

• Analyzed 3,000+ records using Python, SQL, and Excel to extract meaningful insights and support data-driven recommendations.
• Designed 2 Power BI dashboards showcasing KPIs, trends, and customer behavior metrics, improving report accessibility and interpretation.
• Conducted data cleaning and transformation activities, increasing dataset consistency and reducing missing-value issues by nearly 20%.
• Prepared analytical reports summarizing findings and presented insights to stakeholders through visualizations and concise documentation.

Bachelor of Technology (B.Tech) - Computer Science Engineering - Sam Global University (2023 - 2027)

Class XII - Canterbury Bell School (2022 - 2023)

Class X - Sagar Public School (2020 - 2021)