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Alugubelly Ashwik Reddy

@alugubellyashwikredd

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I turn large datasets into predictive insights using Python, SQL, and business intelligence tools.

India

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What I'm looking for

I'm looking for an entry-level data analytics role where I can analyse large datasets, build dashboards and predictive models, support data-driven decisions, and grow my skills in Python, SQL, business intelligence, and machine learning.

I've analysed large datasets across tourism sales prediction, credit card fraud detection, and real-time vehicle tracking projects using Python, SQL, and data visualisation tools.

For a tourism sales prediction project, I analysed 50K+ historical records, identified demand drivers, and applied regression and time-series forecasting techniques that improved prediction accuracy by 18%. My insights improved demand planning efficiency by 25%.

I also built an end-to-end fraud detection pipeline on 280K+ transaction records using Scikit-learn and XGBoost, improving F1-score from 0.82 to 0.94 while reducing false positives by 18% and maintaining 96% recall.

I'm completing a Computer Science and Engineering degree focused on Big Data Analytics, with hands-on skills in data cleaning, EDA, predictive analytics, dashboard reporting, machine learning workflows, AWS, and database management.

Experience

Work history, roles, and key accomplishments

Data Analyst

Chandigarh University

Jul 2022 - Jun 2026 (3 years 11 months)

Pursuing B.E. in Computer Science and Engineering with a focus on Big Data Analytics. Developed predictive models and data pipelines for tourism sales and fraud detection, improving accuracy and efficiency.

Python SQL Pandas NumPy Excel Power BI Tableau Data Cleaning data preprocessing Statistical Analysis Predictive Analytics Data Modeling PostgreSQL Machine Learning AWS Docker REST APIs

Education

Degrees, certifications, and relevant coursework

Chandigarh University

Bachelor of Engineering (Honours), Computer Science and Engineering, Big Data Analytics

2022 -

Grade: 6.5/10.00

Pursuing a Bachelor of Engineering (Honours) in Computer Science and Engineering with a specialization in Big Data Analytics, with a GPA of 6.5/10.00.