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Data Engineer with 2+ years in AI, Machine Learning & Data Analytics
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Assessing your cultural and operational fit
Detail-oriented Computer Science graduate specializing in Artificial Intelligence and Machine Learning, seeking a career in Data Engineering and Analytics. Skilled in Python, SQL, data extraction, transformation, analysis, and data modeling. Experienced in SQL development, EDA, reporting and data-driven problem solving through academic, project, and professional work. Familiar with AWS, Agile methodologies, DevOps practices and CI/CD concepts. Eager to build scalable data solutions and support business decision-making in enterprise environments.
Gokaraju Rangaraju Institute of Engineering and Technology
Bachelor of Technology · Computer Science & Engineering - AIML
November 1, 2021 – May 1, 2025
Excellent Junior College
Intermediate Education
July 1, 2019 – July 1, 2021
Atomic Energy Central School Manuguru
Secondary Education
April 1, 2007 – May 1, 2019
Accenture Solutions Pvt. Ltd
Associate Software Engineer
November 1, 2023 – Present
India
Demand Forecasting in Supply Chain Management using Machine Learning
June 1, 2026 – Present
Utilized a publicly available supply chain dataset from Kaggle and performed data cleaning, preprocessing, and transformation using Python and SQL. Conducted Exploratory Data analysis (EDA) and feature engineering to identify demand patterns and key factors influencing product demand. Implemented machine learning and time-series forecasting models including ARIMA, SVR, and Random Forest for demand prediction. Evaluated model performance using forecasting metrics and improved prediction accuracy through feature selection and model optimization. Generated insights to support inventory planning and data-driven decision-making in supply chain operations.
OMATO Food Delivery App Dashboard
June 1, 2026 – Present
Built an interactive Power BI dashboard to analyze 10.8K+ food delivery orders, covering customer details, restaurant. Developed 10+ dynamic KPIs and measures with filters by month, member type, and restaurant;uncovered insights like most-ordered food items and key customer groups to support business decisions.
Multi-Model Attention based early Detection for Diabetic Retinopathy
June 1, 2026 – Present
Developed an AI-based Diabetic Retinopathy detection system using EfficientNet-B4 and Vision Transformers with real-time. Integrated explainable AI and scalable backend features using Flask APIs.
Google Data Analytics Professional Certificate
Coursera
June 1, 2026 – Present
SQL Fluency
Accenture
June 1, 2026 – Present
AWS Cloud Fundamentals
AWS Academy
June 1, 2026 – Present
Artificial Intelligence and Machine Learning
Accenture
June 1, 2026 – Present
Python Essentials
Cisco Networking Academy
June 1, 2026 – Present
Java
Hacker Rank
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects showcase a diverse interest in data-related fields, from AI-based medical detection to supply chain forecasting and business intelligence dashboards. This breadth of interest, combined with certifications in AWS, Google Data Analytics, and AI/ML, indicates a strong drive for continuous learning and adaptability. The current role at Accenture, though relatively short, aligns with data-centric tasks. The volunteer experience also suggests community involvement and leadership potential. Overall, the candidate appears to be a good cultural fit for a role that values continuous learning, problem-solving, and diverse technical application.
Soft Skills & Operational Fit
The candidate demonstrates a detail-oriented approach and a proactive attitude towards learning, as evidenced by multiple certifications and academic achievements. Their experience in project-based work and training in Agile methodologies suggests an ability to work effectively in structured development environments. However, the resume does not provide explicit details on collaboration or problem-solving in team settings beyond mentioning Agile training.