Birudev Yele
AI EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer with less than a year in Data Science & Software Engineering
Detail-oriented Data Analyst, Data Scientist, and Software Developer with strong expertise in Python, SQL, Machine Learning, and fundamentals of full software development. I am skilled in data analysis, statistical modeling, machine learning algorithms, scalable software design, and backend development. Experienced in building data-driven applications, implementing ML models, designing ETL pipelines, and developing analytical dashboards. Strong foundation in Data Structures & Algorithms (DSA), Object-Oriented Programming (OOP), database management (MySQL, MongoDB), exception handling, and clean code practices. I am passionate about solving real-world problems using data science and software engineering.
JSPM University
Masters of Technology · Computer Science & Engineering
August 1, 2023 – June 30, 2025
JSPM's Imperial college of engineering & research
Bachelor of Engineering · Computer Engineering
August 1, 2018 – June 30, 2022
Flourisense Technologies LLP
Data Science, AI/ML Developer Intern
July 1, 2025 – January 1, 2026
Pune, Maharashtra, India
ML Salary Predictor Web Application
June 17, 2026 – Present
• Built an end-to-end ML-powered web application using Flask and Python to predict salaries with 91% R2 score, utilizing Random Forest Regressor trained on 5,000+ data points across experience, education, and role variables. • Implemented a complete ETL pipeline processing 5,000+ records - including data cleaning, feature engineering, and label encoding - reducing preprocessing time by 60% compared to manual methods. • Designed a REST API endpoint (/api/predict) using Flask serving 100+ JSON-based ML predictions per session, enabling seamless integration with external applications. • Integrated MySQL database with full CRUD operations to store and manage 5,000+ prediction history records using optimized SQL queries. • Achieved MAE of $3,200 and cross-validation score of 0.89, demonstrating model robustness across unseen data.
View ProjectPower BI Business Intelligence Dashboards
June 17, 2026 – Present
• Developed 5+ interactive Power BI dashboards transforming 5 complex datasets into executive-level visual reports using DAX measures, Power Query transformations, and custom data models. • Automated SQL-to-Power BI data pipelines, eliminating 6+ hours of manual weekly reporting and improving data freshness from weekly to real-time. • Implemented data cleaning and normalization reducing data inconsistencies by 45%, ensuring accuracy across all dashboard metrics.
View ProjectData Analytics Projects
June 17, 2026 – Present
• Delivered 6+ end-to-end analytics solutions using Python, SQL, and Power BI - covering data ingestion, EDA, feature engineering, and visualization across diverse business domains. • Automated 4+ reporting pipelines using Python scripts, reducing manual reporting workload by 70% and improving operational efficiency. • Applied statistical analysis with Pandas, NumPy, Matplotlib, and Seaborn to identify patterns and anomalies across datasets of 20,000+ rows.
View ProjectUtilizing multi-view chest x-ray 3D reconstruction to improve Thorax Disease Diagnosis
IEJRD
May 1, 2025 – Present
Real time identity identification using Deep Learning
IEEE
May 1, 2022 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from ML web applications to data analytics and deep learning research, indicates a broad interest in the AI/ML domain. Their academic background (Master's in Computer Science & Engineering) and internship align well with an AI Engineer role. The involvement in research and publications suggests a proactive and learning-oriented individual, which is a positive cultural fit for innovation-driven environments. However, the experience level is still nascent, primarily consisting of an internship and personal projects, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their LeetCode achievements and project work. Their ability to automate reporting and ETL pipelines suggests an efficiency-oriented mindset. The project descriptions indicate a detail-oriented approach to data analysis and model evaluation. While direct evidence of teamwork or stress handling is limited, the successful completion of complex projects and research papers implies a degree of self-management and perseverance.