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AI Engineer with less than a year in Python, SQL & 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
Motivated Information Technology undergraduate with strong foundations in Python, SQL, Machine Learning, Statistics, and Data Analytics. Passionate about leveraging data-driven insights to solve business problems through predictive modeling, risk analytics, and statistical analysis. Seeking an Analyst - Credit Risk Management role at PhonePe to contribute analytical skills while building scalable risk solutions.
Andhra University College of Engineering, Visakhapatnam
Bachelor of Technology (B.Tech) · Information Technology
August 1, 2023 – June 30, 2026
Sanketika Polytechnic College, Visakhapatnam
Diploma · Computer Engineering
August 1, 2020 – June 30, 2023
Marvel School, Visakhapatnam
SSC (10th Standard)
June 1, 2015 – May 31, 2020
TrafficTelligence – Traffic Volume Prediction System
January 1, 2026 – Present
Collected, cleaned, and analyzed transportation datasets using Python and Pandas. Performed exploratory data analysis (EDA) to identify traffic patterns and influential features. Built regression-based machine learning models to predict traffic volume with approximately 85-90% accuracy. Performed feature engineering and evaluated model performance using RMSE and MAE metrics. Developed interactive Streamlit dashboards to visualize traffic trends and prediction results. Improved analytical decision-making through data-driven forecasting.
View ProjectRetailAI – Smart Inventory Management System
January 1, 2026 – Present
Designed an inventory analytics platform to analyze sales trends and forecast product demand. Processed and analyzed structured sales datasets using Python and SQL. Built demand forecasting models using historical sales data. Developed analytical dashboards for inventory monitoring, sales insights, and business reporting. Identified low-stock and slow-moving inventory using predictive analytics. Improved inventory decision-making through data-driven insights.
View ProjectBuilt end-to-end Machine Learning applications using Python, Pandas, Scikit-learn, and Streamlit.
Unknown
June 1, 2026 – Present
Completed Machine Learning coursework covering regression, classification, clustering, feature engineering, and model evaluation.
Unknown
June 1, 2026 – Present
Solved 250+ Data Structures and Algorithms problems on LeetCode focusing on analytical problem solving.
LeetCode
June 1, 2026 – Present
Strong knowledge of SQL including joins, aggregation, filtering, subqueries, and data manipulation.
Unknown
June 1, 2026 – Present
Experienced in data preprocessing, visualization, and predictive analytics using Python.
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in applying data science to practical problems (traffic prediction, inventory management). The target role of 'AI Engineer' aligns well with the skills and project experience in machine learning and data analytics. However, the projects are academic, and there is no information on collaborative work or contributions to open-source, which limits the assessment of cultural fit in a professional team environment.
Soft Skills & Operational Fit
The candidate's profile indicates a motivated individual passionate about leveraging data-driven insights. The project descriptions suggest an ability to work on structured problems and deliver analytical solutions. However, with no professional experience, the operational fit regarding real-world project management, collaboration within a team, and handling complex business requirements is yet to be validated.