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Entry-level Data Science Engineer with strong Python & ML skills
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated and detail-oriented individual with a strong foundation in problem-solving, analytical thinking, and technical skills. Proficient in Python, SQL, and data-related tools with hands-on project experience. Passionate about delivering high-quality results and contributing to organizational growth.
Marri Laxman Reddy Institute of Technology and Management
Bachelor of Technology · Computer Science and Engineering (Data Science)
August 1, 2022 – June 30, 2026
Enhanced Hybrid Model for Fishing Detection (Python+ML)
June 1, 2025 – April 1, 2026
Designed and implemented an enhanced hybrid phishing detection model combining URL, content, and domain-based features with rule-based and machine learning techniques Integrated heuristic rules, blacklist filtering, and ML classifiers (Random Forest/SVM) to accurately detect both known and zero-day phishing attacks Achieved improved detection accuracy and reduced false positives through feature engineering and decision-fusion mechanisms.
Food Waste Management app (Python + Flutter)
June 1, 2024 – April 1, 2025
Developed a Food Waste Management mobile/web application to connect food donors (restaurants, hostels, households) with NGO's and volunteers for efficient surplus food redistribution Implemented features such as real-time food listing, location-based matching, notifications, and pickup scheduling to minimize food wastage and improve delivery efficiency. Enhanced social impact by enabling data tracking, donor history, and analytics, contributing to reduced food waste and improved food accessibility for the needy
Flutter
thingQbator
December 1, 2025 – December 1, 2025
Connection through MongoDB database
MongoDB
September 1, 2024 – September 1, 2024
Python 101 for Data Science
IBM
April 1, 2024 – April 1, 2025
Cultural Fit Analysis
The candidate's academic projects, such as the 'Enhanced Hybrid Model for Fishing Detection' and 'Food Waste Management app', demonstrate an interest in applying data science for real-world problem-solving and social impact. This indicates a potential alignment with organizations that value innovation and societal contributions. The breadth of skills listed (Python, SQL, ML, data visualization, databases) and certifications suggest a proactive learning mindset. However, the lack of professional experience beyond a short internship limits the assessment of long-term cultural adaptability in a corporate setting.
Soft Skills & Operational Fit
The candidate's summary highlights motivation, detail-orientation, problem-solving, and analytical thinking, which are positive indicators for operational fit. Project descriptions suggest an ability to work on impactful solutions and contribute to social good, implying a collaborative and purpose-driven work attitude. However, without psychometric test results, a comprehensive assessment of stress handling and team collaboration is not possible.