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Harshini User

@harshiniuser2

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Aspiring data analyst delivering insights with SQL, Python, Power BI.

Zimbabwe

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What I'm looking for

I’m looking for a data analytics role where I can build SQL/Python analyses and Power BI dashboards, use ML for detection or prediction, and turn insights into KPI-driven business decisions.

I’m an aspiring Data Analyst skilled in SQL, Python, Power BI, and Excel, focused on turning messy data into clear, decision-ready insights. I’ve worked across data cleaning, exploratory data analysis, dashboard development, and KPI reporting.

In projects, I analyzed 9,800 retail sales records (including $2.26M revenue and 793 customers) and built a 4-page Power BI dashboard with KPI cards, trend analysis, and customer/product insights. I also developed an ML-powered intrusion detection system that achieved 98.34% test accuracy on 200,000+ records using Random Forest and XGBoost, with a Streamlit app for real-time predictions and monitoring.

Through internships, I extracted, cleaned, and transformed datasets using SQL and Python (Pandas), improved reporting accuracy by 30% via EDA, and built Power BI dashboards with DAX measures and drill-through reporting. I bring an analytical mindset, strong implementation skills, and a drive to deliver actionable results.

Experience

Work history, roles, and key accomplishments

Data Analyst Intern

CodTech

Dec 2025 - Mar 2026 (3 months)

Extracted, cleaned, and transformed datasets using SQL and Python (Pandas), performing EDA to improve reporting accuracy by 30%. Built interactive Power BI dashboards with DAX measures, KPI scorecards, and drill-through reports.

SQL Python Pandas Data Cleaning Power BI DAX KPI Reporting Dashboard Development

Machine Learning Intern

SkillDzire

May 2025 - Jun 2025 (1 month)

Developed supervised ML models (Logistic Regression, Random Forest, XGBoost) and improved accuracy by 12% via feature engineering and hyperparameter tuning. Performed data wrangling, SMOTE, outlier treatment, and cross-validation to produce robust analytical outputs.

Machine Learning Logistic Regression Random Forest XGBoost Feature Engineering Hyperparameter Tuning Data Wrangling SMOTE Outliers Cross Validation

Education

Degrees, certifications, and relevant coursework

JNTU-GV CEV(A)

B.Tech, Information Technology

2022 - 2026

Grade: 7.7/10

Activities and societies: Vice President, Yuva Sankalpam Club; led student mentoring and community clean-up/environmental outreach.

Pursuing a B.Tech in Information Technology at JNTU-GV CEV(A) with a current grade of 7.7/10. Builds analytics and data skills through projects and academic involvement.