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Data Engineer with less than a year in data analysis, visualization, and data engineering.
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Assessing your cultural and operational fit
Detail-oriented and analytical Computer Science Engineering graduate with hands-on experience in data analysis, visualization, and data engineering. Skilled in Python, SQL, Snowflake and Power BI, with a strong understanding of data cleaning, transformation, and exploratory data analysis (EDA). Experienced in working with real-world datasets to build dashboards, ensure data quality, and support business decision-making. Passionate about leveraging data-driven solutions to optimize performance and deliver actionable insights.
JNTU GV College of Engineering, Vizianagaram
B.Tech · Computer Science Engineering
August 1, 2021 – June 30, 2025
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December 1, 2024 – January 1, 2025
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Radiogenomic Detection of MGMT Methylation in Glioblastoma using MRI Data
June 1, 2026 – Present
Developed a non-invasive ML model to predict MGMT promoter methylation in glioblastoma using MRI scans, reducing reliance on surgical biopsies. Performed feature extraction and model training using Python libraries such as NumPy, Pandas, scikit-learn, TensorFlow and pydicom
Bank Loan Analytics Report
June 1, 2026 – Present
Analyzed bank loan data to track key financial metrics and borrower trends using SQL and Power BI. Validated dashboard insights by cross-checking with SQL queries to ensure data accuracy. Created interactive Power BI dashboards with DAX measures to visualize loan performance, approval patterns, and risk indicators.
SnowPro Core Certified
Snowflake
June 1, 2026 – Present
Data Analytics Course Certification
Cedlearn
June 1, 2026 – Present
Data Science for Engineers
NPTEL Swayam
June 1, 2026 – Present
SQL (Intermediate Course Completion)
HackerRank
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships show a diverse interest in data science, analytics, and engineering, which aligns well with a dynamic data-driven culture. Their experience with both academic research (ML model) and business analytics (Bank Loan, Email Marketing) indicates adaptability. The SnowPro Core certification highlights a commitment to modern data platforms, suggesting a fit for organizations embracing cloud-native data solutions. The limited professional experience (internships and a short associate role) means cultural fit is primarily inferred from their demonstrated learning and project diversity.
Soft Skills & Operational Fit
The candidate's resume indicates a detail-oriented and analytical approach, which is crucial for data engineering roles. Their experience in optimizing data workflows suggests an operational mindset focused on efficiency. The ability to present a Proof-of-Concept and earn certifications quickly demonstrates proactivity and a strong learning aptitude. However, the resume does not provide explicit examples of teamwork or stress handling, which are key soft skills for senior roles.