Python Engineer with 4+ years in Web Development & 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
Seeking a challenging role where I can contribute my expertise in Python
Raipur Institute of Technology, Raipur
Bachelor of Technology · Computer Science and Engineering
August 1, 2017 – June 30, 2021
GOVT. HR. SEC. School Mowa Raipur
12th Class
June 1, 2016 – May 31, 2017
GOVT. HR. SEC. School Mowa Raipur
10th Class
June 1, 2014 – May 31, 2015
Hitmakes.in
Freelancer
June 1, 2023 – Present
Gas Turbine Research Establishment, DRDO Bangalore
Apprenticeship
May 16, 2022 – May 16, 2023
Bengaluru, Karnataka, India
Effcon Technology, Raipur
Intern
April 1, 2018 – May 31, 2018
Raipur, Chhattisgarh, India
ML_GUI
April 1, 2026 – Present
MLGUI is a comprehensive Machine Learning Graphical User Interface (GUI) designed to simplify the process of applying machine learning algorithms. With MLGUI, you can perform the following tasks seamlessly: Data Preprocessing: Easily preprocess your data, handling tasks like data cleaning, feature scaling, and feature engineering. Machine Learning Variety: Access a diverse selection of machine learning algorithms, allowing you to choose the best method for your task. Parameter Fine-Tuning: Fine-tune the parameters of your machine learning models for optimal performance, offering both automated and manual adjustment options. Data Visualization: Explore your data visually through built-in tools, helping you understand your datasets more effectively.
Travel Book - Interactive Travel Website
April 1, 2026 – Present
Developed a website using Python's Django module for the backend and HTML, CSS, and Bootstrap for the frontend. Combined features of a social media platform with a travel information hub. Users can create accounts, post photos, comment, like, share location, and find information about travel agents and car rentals.
Sensor Data Feature Selection
April 1, 2026 – Present
Conducted feature selection analysis on sensor data from a Small Turbo Fan Engine (STFE). Utilized statistical analysis, correlation analysis, and machine learning algorithms. Implemented feature selection algorithms such as Recursive Feature Elimination (RFE), Random forest feature importance and Boruta. Evaluated different feature subsets to optimize engine efficiency and reliability. Collaborated with domain experts for validation and insights. Documented methodologies, findings, and recommendations.
Python certification
HackerRank
April 1, 2026 – Present
HackerRank Silver level in Python
HackerRank
April 1, 2026 – Present
HackerRank Gold level in C++
HackerRank
April 1, 2026 – Present
Cultural Fit Analysis
The psychometric test score of 0/500 provides no positive indication of cultural fit, including aspects like collaboration, work attitude, or stress handling. This area requires further investigation.
Soft Skills & Operational Fit
Based on the psychometric test score of 0/500, there is insufficient data to assess logical reasoning, work attitude, stress handling, or team collaboration. The current score indicates a significant concern regarding operational fit.