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Data Engineer with less than a year in SQL, Python & Data Modeling
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Engineer and Analytics graduate skilled in SQL, Python, and data modeling to build scalable data solutions. Experienced in data extraction, transformation, and analysis to improve data quality and support business decision-making. Passionate about developing reliable data pipelines and delivering high-quality datasets for analytics and operational use.
Malla Reddy University
Bachelor of Technology · Computer Science Engineering (Data Science)
September 1, 2021 – May 1, 2025
Accelotics Technologies
AI Engineer Intern
December 1, 2024 – June 1, 2025
India
Air Quality Index (AQI) Analysis
June 27, 2026 – Present
Processed environmental datasets using Python to clean and transform pollutant data. Built structured datasets to analyze regional pollution patterns and seasonal trends. Developed Power BI dashboards to visualize AQI metrics and comparative air quality insights.
Customer Purchase Behavior Analysis
June 27, 2026 – Present
Analyzed transactional datasets using SQL techniques including JOINS, CTEs, and window functions. Built queries to evaluate revenue trends, customer segmentation, and repeat purchase behavior. Generated insights on regional and category performance to support sales strategy optimization.
Retail Sales Performance Dashboard
June 27, 2026 – Present
Designed an interactive dashboard to monitor KPIs including Total Sales, Profit, and Average Order Value. Performed data cleaning and transformation to ensure accurate reporting datasets. Analyzed discount strategies and identified margin losses beyond 30% discount levels.
Crypto Market Data Pipeline & SQL Analysis
June 27, 2026 – Present
Built an ETL pipeline to extract cryptocurrency market data from the CoinGecko API using Python. Transformed JSON data into structured datasets using Pandas and stored results in a MySQL database. Implemented UPSERT logic with primary keys and performed SQL analysis on price, market cap, and trading volume trends.
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying data engineering and analysis concepts. The internship at Accelotics Technologies, though short-term, shows an interest in practical application of skills in a professional setting. The projects cover diverse areas like crypto market data, customer behavior, retail sales, and environmental data, indicating a broad interest in data applications. However, the experience level is entry-level, which might require more mentorship and integration into a senior team culture.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured data analysis tasks and build data pipelines. The internship experience suggests collaboration with engineering teams and a focus on optimizing system throughput, which aligns with operational efficiency. However, specific soft skills like problem-solving approach, adaptability, or leadership are not explicitly detailed.