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Data Analyst with less than a year in Python, SQL, and Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst and Data Science enthusiast with strong analytical and problem-solving skills. Having a knowledge of Python, SQL, Machine Learning and Data Analysis, along with practical experience gained through internships and academic projects. Looking for an opportunity to apply my skills to analyze data, identify meaningful insights, and support business decisions. Interested in learning new technologies, gaining industry experience, and contributing to the growth of the organization while building a successful career in Data Science and Analytics.
Malla Reddy Engineering College and Management Sciences
BTech · Computer Science and Engineering (Data Science)
N/A – June 30, 2026
Ratnapuri institutions of technology
Diploma · Electrical and Electronics Engineering
N/A – June 30, 2022
Kitech Vista Pvt Ltd
Data Science Intern
May 1, 2025 – August 1, 2025
India
Agratas Academy Pvt Ltd
Data Science Intern
October 1, 2024 – December 1, 2024
India
AI-Powered Tactical Intelligence System in Military Operations
June 21, 2026 – Present
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
Data-Driven Consumer Profiling: Customer Behaviour Clustering for Personalised Marketing Strategies
June 21, 2026 – Present
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. 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
Genetic Al Fundamentals
Geeks For Geeks
June 1, 2026 – Present
HTML & CSS
ThingQbuter
June 1, 2026 – Present
Data Analytics
Cisco Networking Academy
June 1, 2026 – Present
DevOps with Cloud Environment
MREM
June 1, 2026 – Present
Machine Learning and Image Processing
ThingQbuter
June 1, 2026 – Present
Data analytics Essentials
Cisco
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a strong interest in data science and analytics, aligning well with a Data Analyst role. The diversity of projects (customer profiling, military intelligence system) shows adaptability and a willingness to apply skills across different domains. The listed certifications, including 'DevOps with Cloud Environment', indicate a proactive approach to learning and skill expansion, which is a positive cultural fit for growth-oriented teams. However, the experience level is entry-level, which might require more mentorship in a senior team.
Soft Skills & Operational Fit
The candidate lists 'Good Communication', 'Problem Solving', 'Teamwork', 'Self motivation', and 'Self-Learning' as soft skills. The project descriptions indicate an ability to work on structured problems and communicate findings, which aligns with operational needs for a Data Analyst. However, without specific examples or interview data, the depth of these soft skills cannot be fully assessed.