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AI Engineer with 2+ years in Data Analytics & Machine Learning
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Results-oriented Data Analyst and Engineer with a Post-Graduate Diploma in Data Science And Big Data Analytics. Skilled in developing scalable data pipelines using PySpark and SQL, and deploying cloud-based machine learning solutions on AWS and Azure. Proficient in leveraging generative AI tools like GitHub Copilot to accelerate development and analysis. Certified in Azure Fundamentals (AZ-900) and proficient in visualization tools like Power BI.
Centre For Development Of Advanced Computing
Post-Graduate Diploma · Data Science & Data Analytics
August 1, 2025 – June 30, 2025
Savitribai Phule Pune University
B.E. · Computer Science Engineering
August 1, 2021 – June 30, 2024
MSBTE
Diploma · Mechanical Engineering
August 1, 2019 – June 30, 2021
END-TO-END UBER ETL DATA ENGINEERING PIPELINE
February 1, 2026 – Present
Built an Azure-based ETL pipeline processing 150K+ ride records using Medallion Architecture (Bronze-Silver-Gold). Developed scalable ingestion workflows with Azure Data Factory to extract MySQL data into Azure Data Lake Gen2. Performed large-scale data cleaning and transformations using Azure Databricks (PySpark) for analytics-ready datasets. Generated business KPIs and insights using Azure Synapse Analytics, leveraging AI tools to optimize development.
PERSONAL FINANCIAL ADVISOR SYSTEM
May 1, 2025 – January 31, 2026
Developed a cloud-based machine learning application to provide users with personalized financial planning and investment recommendations. Engineered data preprocessing using PySpark to efficiently handle and clean large-scale financial datasets. Integrated ML models and external APIs to generate predictive insights. Designed and deployed interactive dashboards using Plotly and Chart.js to visualize recommendations and portfolio performance.
RESTAURANT ORDER MANAGEMENT SYSTEM
January 1, 2025 – April 30, 2025
Designed and built a SQL-driven web application using Flask and MySQL to manage real-time restaurant orders. Implemented a robust backend with full CRUD (Create, Read, Update, Delete) functionality, ensuring data integrity and fast retrieval. Enabled a smooth order management workflow by displaying real-time order status and details.
SPEECH EMOTION DETECTION
March 1, 2024 – March 31, 2024
Engineered a speech classification system to detect and classify human emotions from audio signals using a Random Forest model. Executed feature extraction using audio processing techniques, including MFCC, Chroma, and Mel spectrograms. Deployed the trained model as a Flask web application, which provided real-time emotion analysis visualized with Chart.js.
SQL - Beginner Level
Unknown
June 1, 2026 – Present
Python 3 Certificate of Completion
Unknown
June 1, 2026 – Present
Microsoft Certified: Azure Fundamentals (AZ-900)
Microsoft
June 1, 2026 – Present
Analyzing and Visualizing Data with Microsoft Power BI
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from ETL pipelines to financial advisors and emotion detection systems, indicates adaptability and a broad interest in data-driven solutions. The target role of 'AI Engineer' aligns well with the candidate's focus on machine learning, data engineering, and generative AI skills. However, the lack of professional work experience beyond academic projects might suggest a need for mentorship in a professional team setting.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving skills through project descriptions and an ability to work with various tools and frameworks. The mention of 'Stakeholder Communication' suggests an awareness of collaborative aspects, though specific examples are not provided. The use of GitHub Copilot indicates an openness to leveraging AI tools for productivity.