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Python Engineer with less than a year in Machine Learning & Data Analytics
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 developer transitioning with strong foundations in Python scripting, JavaScript interactivity, SQL querying, and HTML/CSS styling, honed via projects such as counterfeit logo classifiers and sales performance trackers. Delivered optimized workflows from data ingestion to visualization, enhancing decision-making accuracy. Committed to mastering full-stack ecosystems through hands-on contributions and continuous upskilling.
PB Siddhartha College of Arts and Science, Vijayawada
BBA · Business Analytics
August 1, 2019 – June 30, 2023
Narayana Junior College
Class XII · MPC
June 1, 2016 – May 31, 2018
Assisi EM High School
Class X
June 1, 2014 – May 31, 2016
Squpus Pvt Ltd
Application Developer intern
October 1, 2022 – December 1, 2022
Hyderābād, Telangana, India
Ikea Sales Dashboard
June 28, 2026 – Present
- Data cleaning and manipulation of unstructured data using index matches, Xlookup, pivots, and other Excel functions - Prepared an interactive dashboard to track Products, Sales growth rate (%) & Low-Performing Products at regional level - Designed KPI trackers to visualize data trends implementing ETL processes, supporting decision-making through accurate reporting and analysis.
Fake Logo Detection Application
June 28, 2026 – Present
- Developed a machine learning model in Python aimed at accurately detecting counterfeit logos, high reliability in classification - Applied image preprocessing techniques, including resizing, feature extraction, to improve data quality & optimize performance - Executed data cleaning, feature extraction, and model tuning processes to enhance classification accuracy and reliability - Evaluated the model's performance and implemented optimizations to ensure consistent detection of authentic versus counterfeit logos
Introduction to Databases
Nxtwave
June 1, 2026 – Present
Programming Foundations with Python
Nxtwave
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects are primarily personal and academic, focusing on data analysis and machine learning. While relevant to a Python Engineer role, the breadth of experience is limited. The target role of 'Python Engineer' aligns with the candidate's stated skills and project work, particularly in machine learning. However, the overall experience level (0) and the nature of projects suggest a junior profile rather than a senior one, which might impact cultural fit for a senior role requiring extensive independent contribution and mentorship.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on defined tasks and deliver functional prototypes. The internship experience, though short, indicates exposure to a professional development environment. However, there is insufficient data to assess stress handling, advanced problem-solving under pressure, or complex team collaboration dynamics.