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Data Science with less than a year in Data Science with strong analytical and machine learning skill
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Recent Engineering graduate with strong analytical, problem-solving, and technical skills. Experienced in data handling, visualization, and project-based development using SQL, Python, and modern analytical tools. Eager to apply knowledge, learn continuously, and contribute effectively in a dynamic professional environment
Siddaganga Institute of Technology, Tumkur
BE · Electrical and Electronics Engineering
August 1, 2022 – June 30, 2026
Shree Guru Ind PU College of Science
PU College · Science
June 1, 2020 – May 31, 2022
E-commerce Sales & Customer Analytics
January 1, 2026 – Present
Designed an ETL pipeline to extract, transform, and load e-commerce data for analysis. Used SQL and PySpark for data cleaning, transformation, and aggregation of large datasets. Built interactive Power BI dashboards to visualize KPIs such as revenue, customer segmentation, and product performance. Generated insights from sales and customer data to support business decision-making.
Retail Sales Data Analytics Dashboard
January 1, 2026 – Present
Analyzed retail sales data containing over 50,000 transactions to identify revenue trends, customer purchasing behavior, and product performance. Performed data cleaning, transformation, and exploratory data analysis (EDA) using Python and SQL. Developed interactive Power BI dashboards to track KPIs such as total sales, profit margin, monthly growth, and top-performing products. Generated actionable business insights by identifying high-revenue categories and customer segments.
Smart Solar Charge Controller using Machine Learning
January 1, 2026 – Present
Built a Machine Learning-based solar charge controller using Random Forest Regression to predict optimal battery charging conditions from real-time sensor data. Performed data preprocessing, feature selection, and model evaluation to improve charging efficiency and battery health. Integrated ESP32 and IoT sensors for real-time monitoring and data collection.
Cloud Computing and Distributed Systems
NPTEL
June 1, 2026 – Present
Data Structures and Algorithms
CodeChef
June 1, 2026 – Present
Database Management System
CodeChef
June 1, 2026 – Present
AWS for Beginners - The Ultimate Foundational Course
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in data science and analytics, aligning well with the target role. The diversity of projects, from e-commerce analytics to smart solar charge controllers, shows adaptability and a broad application of data science principles. Participation in extra-curricular activities like organizing events and hackathons indicates a proactive, team-oriented, and continuous learning mindset, which generally contributes positively to cultural fit.
Soft Skills & Operational Fit
The candidate's resume highlights analytical thinking, problem-solving, team collaboration, and communication as soft skills. Project descriptions indicate experience in team collaboration and contributing to problem-solving. The participation in hackathons and organizing events further supports these claims, suggesting a proactive and collaborative operational fit.