
Software Engineer with 2+ years in Python & Data Science
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A recent B.Tech graduate in Computer Science from Malla Reddy University with strong academic performance. Skilled in Python, Java, and data-driven problem solving with hands-on experience in NLP, text classification, and predictive modeling. Fluent in English with strong communication and leadership abilities, seeking an entry-level role to build impactful real-world solutions.
Malla Reddy University
B.Tech. · Computer Science Engineering
September 1, 2022 – April 1, 2026
Narayana Junior College
12th Standard · MPC
June 1, 2021 – April 1, 2022
Venkateswara High School
10th Standard · SSC
June 1, 2019 – April 1, 2020
AutoInsight: Data-Driven Vehicle Trends
June 18, 2026 – Present
Designed a data-driven system to analyze vehicle registration trends across regions, focusing on fuel types, manufacturers, and registration patterns, aimed at supporting smarter transportation decisions and policy-making. Tools Used: Python, Jupyter Notebook, pandas, numpy, matplotlib, seaborn, scikit-learn. Learning Outcome: Performed EDA and built visual dashboards to analyze vehicle trends and regional preferences. Optimized data processing and developed predictive models to forecast registration growth.
Lawtech-AI: Machine Learning-Based Legal Case Outcome Prediction
June 18, 2026 – Present
Developed an AI-based web application to predict legal case outcomes using Machine Learning and Natural Language Processing (NLP), assisting in decision-making within the legal domain. Tools Used: HTML, CSS, React, Python, MongoDB. Learning Outcome: Applied TF-IDF for feature extraction and Random Forest for classification, developing an end-to-end ML application.
Python Programming
Unknown
June 18, 2026 – Present
Python Basics
Unknown
June 18, 2026 – Present
Data Analytics Job Simulation
Unknown
June 18, 2026 – Present
Cultural Fit Analysis
The candidate's projects show an interest in data-driven solutions and AI, which aligns with innovative and analytical team cultures. The personal nature of projects and lack of professional experience might indicate a need for mentorship in a structured team environment. The breadth of skills is focused on Python and ML, with some web development, suggesting a fit for roles emphasizing these areas.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving, creative thinking, and teamwork skills through project descriptions and listed soft skills. The psychometric test score suggests average logical reasoning and work attitude, with potential areas for growth in stress handling and team collaboration.