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Data Science with 4+ years in Cloud Platforms & Data Engineering
Data Scientist with 4+ years of experience, including 3.5 years on Google Cloud Platform (GCP), 1 year with Snowflake, and 1 year with Microsoft Fabric. Skilled in scalable data solutions, exploratory data analysis, predictive analytics, and data visualization using Python, SQL, Power BI, Looker, and matplotlib. Proficient in machine learning, statistical modeling (Python, R), and deploying ML models to improve operational efficiency. Experienced in automating ETL pipelines with GCP tools (BigQuery, Cloud Functions, Dataflow) and managing end-to-end data workflows in Microsoft Fabric. Certified Snowflake Architect with expertise in retail analytics, sales forecasting, inventory optimization, and 1.2 years in data migration to Microsoft Fabric, Azure, and Snowflake.
vidhya Jothi institute of technology
B.Tech / B.E. · Computer Science and Engineering (CSE)
January 1, 2015 – January 1, 2019
Accenture
business Architecture Analyst
January 1, 2025 – Present
India
Logic Information Systems
Data Scientist, Associate Consultant
January 1, 2022 – January 1, 2025
India
Bealls Inc
December 1, 2025 – June 1, 2026
Designed and implemented Microsoft Fabric architecture leveraging the Medallion framework, facilitating seamless migration of data systems from Oracle DB to Microsoft Fabric environment. Migrated data from traditional Oracle databases to Snowflake, optimizing data storage and retrieval processes. Developed comprehensive Snowflake views and created interactive Power BI dashboards, reducing client validation efforts by approximately 30% and enhancing data accessibility and visualization.
Blains Food and Supply
November 1, 2025 – June 1, 2026
Designed and implemented data architecture using Snowflake and Azure Data Factory for a RELEX project integrating a new POS system. Developed Snowflake views to aggregate and validate data against the original POS system, ensuring data accuracy and integrity. Built and optimized Azure Data Factory pipelines to extract data from Snowflake views, transform it into CSV format, and automate its delivery to designated storage buckets. Enabled seamless data consumption by the RELEX system for Forecasting & Replenishment (F&R), supporting improved inventory and sales analytics. Achieved a [10]% improvement in data processing efficiency and [15]% reduction in manual data handling errors (template metrics).
Pricing Analytics for Agri Market
March 1, 2025 – June 1, 2025
Due to seasonality of production, derived nature of the supply and comparatively inelastic demand for farm products, there is natural price variability by default in farm produce. Prices of farm produce are not only determined by local supply and demand situations but also influenced by global and exogenous socio-political factors that further exacerbate the volatility in agriculture. The goal of Agricultural Market Pricing Analytics a. Forecast Commodity Price on Monthly and Weekly basis b. Forecast the Commodity price based on Region, City and Market
Group Insurance Analytics
February 1, 2025 – June 1, 2025
Creating web application for fetching the most recent data updated into the RDBMS based database (Clients Data Base). Based on the recent data of the employees Medical history, to analyze and suggest the best group insurance policy to the employee in order to save the extra expenditure and wastage of investment on the other insurance plans. Derive insights from the results to device better strategies to enhance the performance.
Arvind Fashions limited
March 1, 2023 – March 1, 2026
-Collaborated with vendors to gather and define data requirements, ensuring alignment with business objectives -Developed, maintained scalable GCP-based data pipelines, extracting data from Oracle DB, Xstore, FTP/SFTP, APIs, web scraping tools, Google Analytics (GA4). -Cleansed, validated, transformed raw data to ensure accuracy and consistency before loading into BigQuery for centralized storage-analytics. -Designed optimized BigQuery views to improve query performance to enable faster reporting. -Built interactive Looker Studio dashboards to track sales performance and key business metrics in real time. -Automated data distribution workflows using Python, improving accessibility, reducing manual effort by ~30%. -Developed backup, alerting systems with email notifications for store managers, improving operational responsiveness and data reliability. -Designed Microsoft Fabric architecture using Medallion framework, successfully migrated data systems from GCP to Microsoft Fabric environment.
Cryptography
Unknown
June 1, 2026 – Present
Data Science using Python and R
Unknown
June 1, 2026 – Present
Python
Unknown
June 1, 2026 – Present
Oracle Fusion AI Agent Studio Foundations Associate - Rel 1
Oracle
June 1, 2026 – Present
Snow pro Core COF
Snowflake
June 1, 2026 – September 1, 2028
Snow pro Advanced: Architect Certification
Snowflake
June 1, 2026 – February 1, 2028
Cultural Fit Analysis
The candidate's project portfolio demonstrates diversity in industry (agri-market, insurance, retail) and a strong focus on data engineering, data architecture, and data science applications. The experience with various cloud platforms (GCP, Azure, Microsoft Fabric, Snowflake) and tools (Python, SQL, Power BI, Looker) indicates adaptability and a broad technical skill set. The target role of 'Data Science' aligns well with the candidate's profile summary, certifications, and project experience, particularly in predictive analytics and machine learning. The candidate's continuous learning through certifications also suggests a proactive and growth-oriented mindset.
Soft Skills & Operational Fit
The candidate's project descriptions highlight collaboration with cross-functional teams and vendors, suggesting good teamwork and communication skills. Experience in automating processes and developing alerting systems indicates a proactive approach to operational reliability. The role as 'Business Architecture Analyst' at Accenture further implies an ability to coordinate with different teams and translate business requirements into technical solutions.