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Kolichelimi Chandana

Data Analyst • Hyderabad, India • c**********@gmail.com • 770****834 • linkedin.com/••••• • drivetube.ai/•••••

Professional Summary

Data Analyst with 0-1 years of experience applying Python, SQL, and data visualization to clean datasets, build predictive models, and deliver actionable insights. Experience includes internship work on model development, a Deloitte job simulation focusing on SQL analytics, and academic projects emphasizing data security and visualization.

Technical Skills

Programming Languages: Python,JavaScript
Web Technologies: HTML,CSS
Frameworks and Libraries: Pandas,NumPy,scikit-learn,Jupyter,Matplotlib,Seaborn
Databases: SQL,MySQL,Oracle Database,Oracle Cloud Infrastructure
Data and Analytics: Machine Learning,Statistical Analysis,Feature Engineering,Model Validation,Predictive Modeling,Data Visualization,Report Generation
Tools and Methodologies: Git,Oracle Cloud,Data Cleaning,Data Wrangling
Core Competencies: Exploratory Data Analysis,Problem Solving,Model Development

Work Experience

CodSoft
Data Science Intern
Worked on data analysis and predictive modeling to support business decisions and product improvements during an internship focused on applied machine learning.
Tech Stack: Python, Pandas, scikit-learn, SQL, Matplotlib, Seaborn, Git, Oracle Cloud
  • Conducted exploratory data analysis on internal and client datasets using Python and Pandas to identify trends, outliers, and feature candidates and delivered summary notebooks for stakeholders.
  • Developed and validated predictive models (classification and regression) using scikit-learn with feature engineering and cross-validation to support forecasting and decision-making tasks.
  • Built repeatable ETL steps in Python and SQL to clean, transform, and standardize input data, improving pipeline reproducibility and reducing manual preprocessing.
  • Created visualizations and stakeholder-ready reports using Matplotlib and Seaborn to communicate insights and recommended actions to technical and non-technical audiences.
  • Collaborated with cross-functional teams to translate business requirements into analytical specifications and prioritized modeling approaches to address key business questions.
  • Maintained version control for analysis code and model artifacts with Git; documented model assumptions, evaluation metrics, and deployment considerations for handoff.
Deloitte Job Simulation
Data Analytics Participant
Participated in Deloitte's consulting-focused job simulation performing SQL-based analytics and structured problem solving on large business datasets.
Tech Stack: SQL, Python, Pandas, Jupyter, Matplotlib, Seaborn
  • Wrote complex SQL queries and performed joins, aggregations, and window functions to extract and validate business metrics from large simulated datasets.
  • Applied data cleaning and transformation techniques in SQL and Python Pandas to standardize inputs and prepare datasets for analysis and visualization.
  • Performed exploratory analysis and statistical testing to evaluate hypotheses, uncover drivers of business outcomes, and prioritize recommendations.
  • Produced presentation-ready visualizations and summary decks to communicate findings and recommended actions to non-technical stakeholders.
  • Designed analytical frameworks to decompose client problems, evaluate solution trade-offs, and recommend data-driven priorities for implementation.
  • Documented analysis workflows, data assumptions, and reproducible steps to enable handover and future iteration by consulting teams.

Projects

E-VOTE: Secure Online Voting System
Tools Used: Python, SQL, Data Security
  • Engineered a secure e-voting application with authentication flows and encrypted data storage to preserve vote integrity and confidentiality.
  • Implemented real-time vote processing and SQL database integration to ensure transactional integrity and accurate result aggregation.
  • Designed validation and fraud-prevention algorithms using structured programming to detect anomalies and prevent invalid submissions.
  • Developed and executed testing protocols that validated vote counting logic and result generation accuracy.
2D to 3D Medical Visualization System
Tools Used: JavaScript, HTML, CSS, PlugXR
  • Built an interactive tool that converts 2D medical images into 3D models to support medical education and visualization.
  • Implemented dynamic animations and interactive annotations to improve user engagement and comprehension of anatomical structures.
  • Optimized client-side rendering performance with JavaScript algorithms to handle complex 3D transformations in real time.
  • Integrated PlugXR to create immersive augmented reality experiences for enhanced visualization and learning.

Education

Vignana Bharathi Institute of Technology
Bachelor of Engineering in Computer Science (Data Science Specialization) • Hyderabad, India • May 2026

Certifications

Oracle Cloud Infrastructure 2025 Certified Data Science Professional — Oracle • 2025
Zscaler Zero Trust Associate (ZTCA) — Zscaler
ServiceNow Micro-Certification — ServiceNow

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