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Data Engineer with less than a year in AI/ML, Python, SQL, and Data Analytics.
B.Tech graduate in Computer Science and Engineering (AI & ML) with hands-on experience in Python, SQL, FastAPI, and Data Analytics. Experienced in building REST APIs, data-driven applications, and analytical dashboards using Power BI and machine learning techniques. Strong understanding of ETL/ELT concepts, data warehousing fundamentals, and cloud platforms including AWS (EC2, S3, IAM) and basic Azure concepts. Exposure to big data technologies such as Apache Spark, Databricks, Snowflake, and Kafka along with Linux/Unix environments and Git/GitHub. Focused on Data Engineering and Data Analyst roles involving scalable data pipelines, cloud platforms, ETL workflows, and big data processing. Strong exposure to SQL optimization, data validation, and building end-to-end data pipelines from data ingestion to transformation and reporting layers.
NRI Institute of Technology
Bachelor of Technology · Computer Science & Engineering (AI & ML)
October 1, 2022 – April 1, 2026
Narayana junior College
Intermediate · MPC
June 1, 2020 – March 1, 2022
Sri Chaitanya High School
SSC
June 1, 2019 – March 1, 2020
Edunet Foundation
Internship
January 1, 2025 – Present
India
AICTE & SlashMark IT Startup
Artificial Intelligence Intern
February 1, 2024 – June 1, 2024
India
Smart Expense Tracker API
June 19, 2026 – Present
• Developed a RESTful expense management application using FastAPI and SQL. Designed CRUD APIs for recording, retrieving, updating, and deleting expense data. • Implemented data validation using Pydantic models and structured database storage. • Implemented data validation and basic logging to ensure API reliability and data consistency. • Performed API testing using Postman and Swagger UI, validating CRUD operations and data integrity.
Sales Performance Dashboard
June 19, 2026 – Present
• Developed interactive dashboards to analyze sales performance and revenue trends. • Performed KPI analysis, data transformation, and business reporting. • Generated insights supporting data-driven business decisions.
Customer Churn Analysis
June 19, 2026 – Present
• Analyzed customer datasets to identify churn patterns and retention opportunities. • Performed data cleaning, transformation, and exploratory data analysis using Python and Pandas. • Utilized SQL queries for data extraction, aggregation, and reporting. • Built interactive Power BI dashboards to visualize business KPIs and customer behavior.
AI & ML for Geo Data Analysis
ISRO
January 1, 2024 – Present
Generative AI
Microsoft
January 1, 2024 – Present
Prompt Engineering
Cognitive Class
January 1, 2024 – Present
Generative AI Fundamentals
Databricks
January 1, 2024 – Present
Demystifying Generative AI for Leaders
Infosys
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's diverse projects, including customer churn analysis, sales performance, and an expense tracker API, demonstrate a broad interest in applying data skills to different business problems. The internships in AI/ML and NLP indicate a proactive approach to learning and development, which is a positive cultural fit for dynamic tech environments. The certifications in Generative AI further highlight a commitment to staying current with emerging technologies.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end data analysis tasks, from data extraction and cleaning to visualization and reporting. The internship experiences suggest a capacity for learning and applying new technologies in a structured environment. The focus on problem-solving and analytical thinking, as listed in core competencies, aligns well with the demands of a Data Analyst role.