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Data Science with less than a year in Python & 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
Analytical and results-driven Data Analyst Intern with practical experience in Python, SQL, machine learning, and data visualization. Skilled in data preprocessing, statistical analysis, and building insight-driven reports and dashboards. Strong communicator with a background in operations and customer-facing roles.
NSAKCET
Bachelor of Engineering · Computer Science (Data Science)
August 1, 2023 – June 30, 2026
Jaya Prakash Narayan College of Engineering and Technology
Diploma · MECH
August 1, 2019 – June 30, 2023
Modern High School
SSC
June 1, 2018 – May 31, 2019
Full Stack Academy
Data Analyst Intern
November 1, 2025 – Present
Hyderābād, Telangana, India
Phishing detection website using machine learning
June 1, 2026 – Present
Objective: To compare multiple ML algorithms to identify the best-performing model. Tech Stack: Python: Machine Learning Algorithms, Flask, HTML, CSS, JavaScript. Findings: By the training machine learning algorithms on a large dataset of both legitimate and fraudulent websites the algorithms can learn to distinguish between fake and original
Smart water tank system using C programming
June 1, 2026 – Present
Objective: To automate water level monitoring using sensors and IoT technology Tech Stack: C Programming, Ultrasonic sensor, Water level sensor. Findings: Built a smart water tank system using IOT device like Arduino and some sensors and wireless technology for motor off.
E-commerce Application
June 1, 2026 – Present
Objective: Built a full-stack e-commerce web application Tech Stack: React.js, Node.js, and MongoDB Findings: Implemented features like product listings, shopping cart, user authentication, and order management. Focused on user experience, responsiveness, and scalable backend architecture.
A Survey on Customer Segmentation using Machine Learning Algorithms
June 1, 2026 – Present
Objective: To identify distinct customer groups based on demographic and behavioral patterns. Tech Stack: Python: ML Algorithms: K-Means, Mean Shift, Agglomerative Clustering, DBSCAN Libraries: NumPy, Pandas, Matplotlib, Seaborn Findings: Conducted a detailed analysis of customer segmentation using clustering techniques Identified distinct customer groups based on behavioral and demographic features.
Full Stack Developer Summer Workshop
GeeksforGeeks.
January 1, 2024 – Present
Certificate of Appreciation
NSAKCET
January 1, 2024 – Present
HAVC Certificate
ACTON Design Engineers Pvt Ltd
January 1, 2022 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from machine learning for phishing detection and customer segmentation to an IoT-based smart water tank and an e-commerce application, indicates a broad interest in technology and problem-solving. The academic background in Data Science and the Data Analyst Intern role align well with a Data Science target role. The inclusion of a full-stack developer workshop and an e-commerce project suggests a willingness to explore different technical domains, which can be a positive cultural fit for dynamic environments. However, the lack of professional experience beyond an ongoing internship limits the assessment of long-term cultural alignment.
Soft Skills & Operational Fit
The candidate lists strong soft skills including Analytical Skills, Communication Skills, Decision Making, Leadership, and Problem Solving. These are crucial for a senior data science role, suggesting a good operational fit. However, without specific examples or interview validation, these remain self-reported. The internship experience in data analysis further supports an operational fit for data-centric roles.