Data Engineer with less than a year in ETL & Data Analysis
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Engineer with a strong foundation in Python and SQL, experienced in building ETL pipelines, data cleaning, and transforming raw data into structured formats. Passionate about data warehousing and developing scalable data solutions for analytics.
Ajeenkya D.Y.Patil School of Engineering
Bachelors of Engineering · Artificial Intelligence and Data Science
August 1, 2021 – June 30, 2025
AI Variant
Data Analyst
April 1, 2024 – July 1, 2024
Pune, Maharashtra, India
Igurus consultancy services LLP Consultancy
Research and Data analyst
December 1, 2023 – February 1, 2024
Pune, Maharashtra, India
Web Scraping
February 1, 2024 – February 1, 2024
• Built automated web scraping scripts using Python, BeautifulSoup, and Selenium to collect job-related data from JobStreet and Naukri.com • Cleaned, structured, and stored the extracted data for analysis and reporting • Performed initial data analysis to identify useful trends and insights from the scraped datasets.
Skin Cancer Classification
January 1, 2024 – February 1, 2024
• Developed a CNN model using TensorFlow and Keras to classify skin lesions as benign or malignant • Preprocessed dermoscopic images with data augmentation and trained the model for high accuracy • Evaluated model performance using confusion matrix and key classification metrics to support early detection and diagnosis
Cultural Fit Analysis
The candidate's projects and internships show a strong interest in data science and engineering, aligning well with a Data Engineer role. The diversity of projects (web scraping, image classification, attrition analysis) indicates adaptability and a willingness to explore different data domains. The stated passion for 'developing scalable data solutions' suggests a growth-oriented mindset. However, the limited professional experience makes it difficult to fully assess cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach through personal projects and internships. The descriptions suggest an ability to work independently on data-related tasks, from collection to analysis and reporting. The focus on data-driven insights indicates an analytical mindset. However, the short duration of internships and personal projects limits the assessment of long-term operational fit and collaboration in a team setting.