SHWETA KAILAS KALE
Data Analyst
Pune,Maharashtra
Summary
Data Science student with hands-on experience in Python, SQL, machine learning, and data visualization. Worked on real-world projects including fraud detection, resume screening using Python, and sales insights dashboards in Power BI. Skilled in data preprocessing, EDA and using AI tools to build practical data-driven solutions.
Overview
4
4
Certifications
Work History
Data Analyst Intern
Hackveda Solution Pvt Ltd
Delhi
12.2025 - Current
- Converted raw datasets into meaningful formats by performing extensive pre-processing activities such as normalization and transformation.
- Optimized SQL queries for faster processing times, increasing overall productivity within the team.
- Completed data cleaning and data validation of existing spreadsheets to promote robust data management platform, resulting in accurate data analysis and entry.
- Applied machine learning algorithms to enhance analytical capabilities and uncover hidden patterns within the data.
Education
Masters - Data Science
MIT Art’s Commerce and Science (ACSC)
Alandi01-2026
Bachelor - Computer Science
Pratibha College of Commerce And Computer Studies (SPPU)
Pune01-2024
Skills
Programming: Python, SQL
Data Analysis: Data Cleaning, EDA, Data Transformation
Libraries: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn
Visualization: Power BI, Tableau, Dashboard Development
SQL Skills: Joins, Subqueries, Window Functions, Aggregations
Tools: MS Excel (Pivot Tables, VLOOKUP), Google Colab, Jupyter Notebook
Certification
Python Programming Certification
Timeline
Data Analyst Intern
Hackveda Solution Pvt Ltd
12.2025 - Current
Masters - Data Science
MIT Art’s Commerce and Science (ACSC)
Bachelor - Computer Science
Pratibha College of Commerce And Computer Studies (SPPU)
LANGUAGES
Languages: English, Hindi, Marathi
PROJECTS
Credit Card Fraud Detection
- Technologies: Python, Pandas, NumPy, Scikit-learn
- Analyzed 284,000+ transactions with 0.17% fraud rate to detect anomalies.
- Applied preprocessing and imbalance handling techniques to improve model performance.
- Achieved 99%+ accuracy with strong precision and recall scores.
Resume Screening and Skill Extraction System
- Technologies: Python, SQL
- Processed 500+ resumes using automated skill extraction.
- Implemented SQL-based ranking to shortlist top 20–30% candidates.
- Reduced manual screening effort by approximately 40%.
Market Basket Analysis
- Technologies: Python, Pandas, Apriori Algorithm
- Analyzed 7,000+ retail transactions to identify frequent itemsets.
- Generated association rules with high support, confidence, and lift values (>1.5).
- Identified cross-selling combinations that improved potential sales insights by 15–20%.