Aspiring Data Analyst - Python, SQL, Power BI, tableau, mongo db

SARIKA PANCHALWAR

NAGPUR,MAHARASHTRA

+91-935******* # ****************@*****.*** ï linkedin.com/in/sarikapanchalwar § github.com/sarika9312 Education

J D College of engineering and management,Nagpur Expected 2026 B.tech Information Technology CGPA:9.78/10

Shri Dnyanesh mahavidhyalaya,Nawargaon 2021

XII (HSC), Maharashtra Board 90.17%

Bharat vidhyalaya,Nawargaon 2019

X (SSC), Maharashtra Board 91%

Technical Skills

Languages: Python,SQL, MongoDb,C, HTML,CSS, JavaScript,Java Developer Tools:VS Code,Jupyter notebook, Eclipse,Tableau,PowerBI Technologies/Frameworks:Linux,GitHub,Git

Internships

• Zscalar NETWORKING VIRTUAL INTERNSHIP(July-Sept2024)

• PALO ALTO CYBER SECURITY VIRTUAL INTERNSHIP(April-June 2024) Projects

Retail Sales Analytics System Python, Machine Learning, Tableau

• Developed an end-to-end retail analytics pipeline using Python (Pandas, NumPy) and Scikit-learn to analyze Walmart sales data.

• Performed data cleaning, feature engineering, and EDA to identify sales patterns, top-performing stores, and seasonal trends.

• Built a Random Forest forecasting model for weekly sales prediction.

• Designed an interactive Tableau dashboard showcasing KPIs such as store performance, department insights, and holiday impact.

Cybercrime Analytics Dashboard Python, MongoDB, Tableau

• Built a complete analytics workflow integrating MongoDB, Python, and Tableau to analyze 1,000+ cybercrime records across India.

• Cleaned and exported data from MongoDB using Pandas, enabling smooth visualization.

• Created an interactive Tableau dashboard including crime-type distribution, financial loss analysis, gender trends, monthly patterns, and state-wise geospatial maps.

• Strengthened insights into cybercrime patterns for reporting and decision-making. Fraud detection project Machine Learning

• Built ML models (Logistic Regression, Decision Trees, Random Forest) to classify transactions as fraudulent or genuine, with strong precision and recall.

• Applied data preprocessing, feature engineering, and evaluation metrics (ROC, F1-score) to enhance accuracy and interpretability.

Certifications

Data Analytics:Delloite

Python Computing: NPTEL

Ethical Hacking : INTERNSHALA

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