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Data Analytics Intern with less than a year in Python, SQL & Power BI.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analytics Intern candidate with hands-on experience in Python, SQL, Excel, Power BI, and Tableau. Skilled in data cleaning, exploratory data analysis, dashboard creation, and basic predictive modeling. Experienced in working with real-world datasets and presenting insights through visualizations to support data-driven decision-making.
Deogiri Institute of Engineering and Management Studies
B.Tech · Computer Science & Engineering (AIML)
N/A – June 30, 2027
HexSoftwares
DATA SCIENCE INTERN
November 1, 2025 – Present
India
Titanic Survival Prediction
June 28, 2026 – Present
Cleaned and preprocessed raw data using Pandas. Performed feature engineering and trained ML models using Scikit-learn. Achieved 86% prediction accuracy on test data. Documented analysis and results in Jupyter Notebook.
Sales Performance Analysis Dashboard
June 28, 2026 – Present
Cleaned and analyzed sales data using Excel and SQL. Identified monthly revenue trends and top-performing products. Built interactive Power BI dashboard for business insights.
Customer Churn Prediction & Analysis
June 28, 2026 – Present
Cleaned and analyzed customer data using Python and Pandas. Identified key churn drivers that could help reduce customer loss. Built dashboards to support data-driven decision making. Designed Power BI dashboards to present insights to stakeholders.
Data Analytics ChatGPT With Power BI
Aspire For Her, supported by Infosys Foundation
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate initiative and a proactive approach to learning and applying data analytics skills. The diversity of projects (customer churn, sales performance, survival prediction) indicates a broad interest within data analytics. The current internship and certification suggest a commitment to continuous learning and professional development, which aligns well with a growth-oriented culture. The candidate's academic background in Computer Science & Engineering (AIML) further supports a strong foundation for analytical roles.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end data analysis workflows, from data cleaning to visualization and presenting insights. The internship experience suggests an operational fit for tasks involving data preprocessing and model evaluation. However, specific soft skills like problem-solving approach, teamwork, or communication in a professional setting are not explicitly detailed beyond project descriptions.