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Data Engineer with less than a year in Snowflake & Power BI.
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Assessing your cultural and operational fit
Results-driven Data Engineer and Data Analyst with hands-on experience building scalable data pipelines in Snowflake, developing Power BI dashboards, and performing advanced SQL and Python-based analytics. Certified SnowPro Core professional with a strong foundation in data warehousing, ETL automation, and exploratory data analysis. Adept at translating complex datasets into actionable business insights.
Guru Nanak Institutions Technical Campus
Bachelor of Technology · Computer Science Engineering
August 1, 2020 – May 1, 2024
Sri Chaitanya Junior Kalasala
Intermediate (Class 12th)
August 1, 2018 – May 1, 2020
Satya Shodhak Patashala
SSC (Class 10th)
N/A – May 1, 2018
Boolean Data Systems
Data Engineer Intern
February 1, 2026 – April 1, 2026
India
Cotiviti
Data Analyst Intern
June 1, 2025 – October 1, 2025
India
Electric Vehicle Market Trend Analysis
October 1, 2024 – October 1, 2024
Processed and analyzed a dataset of 112,635 records and 17 features including VIN, EV type, make, model year, electric range, and geographic location to derive actionable market insights. Created interactive visual reports using Plotly Express, including a Choropleth map and racing bar chart to visualize EV adoption density and manufacturer growth over a 10-year period.
Adidas Sales Analysis Dashboard
September 1, 2024 – September 1, 2024
Built an interactive Power BI dashboard visualizing total sales, growth trends, and category/regional performance, contributing to a 10% improvement in Q4 2024 sales forecasting accuracy. Implemented 7 data visualizations tracking KPIs including profit margins, ROI, and COGS, providing stakeholders with actionable insights to improve data-driven decision-making. Monitored inventory levels, supply chain efficiency, and seasonal sales patterns to ensure profitability and operational effectiveness.
Library Management System
August 1, 2024 – August 1, 2024
Designed a relational database schema encompassing tables for books, publishers, authors, borrowers, and branches; optimized SQL queries for fast book availability lookups across branches. Implemented advanced SQL queries and aggregations to monitor borrower activity, track overdue books, and identify high-volume borrowers, improving operational reporting accuracy. Configured cascading updates and deletions to automate referential integrity maintenance between books, authors, and branches, ensuring data consistency.
AMCAT Dataset - Exploratory Data Analysis
July 1, 2024 – July 1, 2024
Analyzed a dataset of 4,000 rows and 40 columns containing engineering graduates' employment data including salaries, job titles, and geographic locations. Conducted in-depth statistical analyses to identify correlations between education levels, specializations, and earning potential, providing insights into career outcome predictors. Evaluated feature correlations and visualized salary distribution patterns across job titles and locations to surface trends for future graduates.
Exploratory Data Analysis
Innomatics Research Labs
June 1, 2026 – Present
SnowPro Core Certification
Snowflake
June 1, 2026 – Present
Python Programming
Innomatics Research Labs
June 1, 2026 – Present
DBMS Part 1 & 2
Infosys Springboard
June 1, 2026 – Present
Advanced Data Analytics
Innomatics Research Labs
June 1, 2026 – Present
NASA Olympiad - State 99th Rank Merit Certification
Unknown
June 1, 2026 – Present
Softball - Merit Certifications (3 National Competitions)
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in Computer Science Engineering, coupled with diverse projects in data analysis and engineering, indicates a strong interest and foundational knowledge in the field. Their certifications (SnowPro Core, Python, Advanced Data Analytics) demonstrate a commitment to continuous learning and skill development, which aligns well with a growth-oriented culture. The variety of projects, from exploratory data analysis to building management systems and sales dashboards, shows adaptability and a broad technical curiosity. The inclusion of non-technical achievements like the NASA Olympiad and Softball merit certifications suggests a well-rounded individual with potential for teamwork and competitive drive.
Soft Skills & Operational Fit
The candidate demonstrates a results-driven approach, as highlighted in their professional summary and project descriptions (e.g., 'reducing manual processing time by 6 hours per week', '10% improvement in Q4 2024 sales forecasting accuracy'). Their academic projects and certifications indicate a proactive learning attitude and a structured approach to problem-solving. The internship experiences suggest an ability to work within operational contexts, delivering actionable insights and optimizing processes.