Aspiring Data Scientist and Python Developer

VARIKOLU AKHILA

630-***-**** ****************@*****.*** www.linkedin.com/in/akhila-varikolu-2a96a5259

https://github.com/akhilavarikolu Hyderabad, Telangana SUMMARY

Aspiring Data Science Student with hands-on experience building machine learning pipelines, data analysis tools, and GUI applications across 2 internships and multiple end-to-end projects. Proficient in Python, Scikit-learn, Pandas, and data visualization libraries. Experienced in the full data workflow from collection and cleaning to modelling and deployment with a strong foundation in Computer Science (Data Science). Seeking a junior Python developer role to build scalable, data- driven solutions.

EDUCATION

Malla Reddy Engineering College and Management Sciences Nov 2022 – Present B.Tech in Computer Science and Engineering (Data Science) CGPA: 7.99 TS Model College Jul 2020 – May 2022

MPC (Mathematics, Physics, Chemistry) Score: 79.6 % INTERNSHIP EXPERIENCE

KITECH Data Science Intern May 2025 – Aug 2025

• Collected and preprocessed structured datasets (10,000+ records), applying feature engineering techniques to improve model input quality.

• Built and evaluated classification and regression models using Scikit-learn, achieving accuracy on test data — replace with your actual metric.

• Developed interactive dashboards using Matplotlib and Seaborn to visualize KPIs, enabling faster insight delivery to the team.

• Automated repetitive data cleaning tasks with Python scripts, reducing manual processing time by an estimated 40%. Cognifyz Technologies Data Science Intern Mar 2025 – Apr 2025

• Cleaned and transformed real-world datasets using Pandas and NumPy to prepare analysis-ready data.

• Implemented K-Means clustering, Random Forest classification, and linear regression models for customer segmentation and predictive analytics tasks.

• Performed exploratory data analysis (EDA) to surface patterns in customer behaviour, which informed targeted campaign strategies.

• Collaborated in a team environment using Jupyter Notebook, delivering project outputs within sprint deadlines. PROJECTS

Public Health Data: Epidemic Outbreak Trend Visualization

• Ingested and cleaned multi-source public health datasets covering 5+ disease categories across 50+ regions using Pandas.

• Built interactive dashboards with Plotly to visualize outbreak trends, enabling pattern detection across time periods.

• Applied statistical analysis to identify high-risk population segments, supporting data-driven public health decision- making.

• Tools: Python, Pandas, NumPy, Matplotlib, Seaborn, Plotly, Jupyter Notebook Data-Driven Consumer Profiling: Customer Behaviour Clustering for Personalised Marketing

• Collected and preprocessed a 15,000+ row customer behavioural dataset, handling null values, encoding categoricals, and scaling features.

• Applied K-Means clustering to segment customers into distinct profiles based on spending and preferences.

• Identified high-value customer segments contributing ~60% of revenue, providing actionable targeting insights for marketing campaigns.

• Built visualisation reports using Matplotlib and Seaborn to communicate findings clearly to non-technical stakeholders.

• Tools: Python, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Jupyter Notebook AI-Powered Tactical Intelligence System in Military Operations

• Developed an image classification and threat detection system in Python, implementing CNN (image classification), LSTM, and Random Forest models.

• Achieved accuracy on the test dataset using a custom preprocessing pipeline for image data.

• Built a functional desktop GUI using Tkinter, featuring image upload, preprocessing preview, model inference, and performance visualisation.

• Tools: Python, TensorFlow/Keras, Scikit-learn, Tkinter, NumPy, Matplotlib TECHNICAL SKILLS

Languages & Scripting: Python, SQL, HTML, CSS

Python Libraries: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn ML & Data: Classification, Clustering, Regression, Data Preprocessing, EDA, Feature Engineering Tools & Platforms: Jupyter Notebook, Git, GitHub, Excel, Ms Word, PowerPoint, VS Code Soft Skills: Problem-solving, Team collaboration, Analytical thinking CERTIFICATIONS

• Python — Cisco, 2024

• SQL — IBM, 2024

• Data Analytics — Cisco, 2025

• Agentic AI Fundamentals — Geeks For Geeks 2025

• HTML & CSS — ThingQbator 2024

Contact this candidate