Data Science, AI, Data Analyst

Bangalore Urban, Karnataka, India

Bengaluru, Karnataka, India





Diploma in Data Science and AI, Data science
International Institute of Information Technology Bangalore
B.Sc. (Hons.) in Agriculture, Agriculture, Agriculture Operations, and Related Sciences
Bharatiya Engineering Science & Technology Innovation University
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"Data Analyst with a PG Diploma in Data Science & AI from IIIT Bangalore (2025-2026), and 3+ years of hands-on experience at Arjate Farm Pvt Ltd. Moved operational reporting from manual Excel processes to a structured SQL and Power BI system — defining KPIs like enquiry conversion and regional demand that hadn't been formally tracked before. My work includes SQL-driven data modeling (Star Schema), Power BI dashboard development, and data quality management across multi-source operational data, including identifying a district-level demand-coverage gap that directly informed a field resource reallocation. Core skills: SQL, Python (Pandas, NumPy, Matplotlib, Seaborn, Pyspark), Power BI, Power Query, DAX, data modeling, Advanced Excel, Pivot table, and data quality management with experience across operational and supply chain analytics.. Committed to building reliable, decision-ready data systems in operational environments."
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Data & Operations Analyst at ARJATE FARMS PRIVATE LIMITED, Jul 2022 - Dec 2025 · 3 yrs 6 mos, Bangalore Urban, Karnataka, India, ▪ Analysed operational datasets from multiple sources using SQL (joins, aggregations, window functions, CTEs) on MySQL — identified trends, patterns, and business opportunities including 30% demand concentration in key regions, supporting strategic resource allocation and operational planning decisions. • Designed ETL workflows using Power Query to consolidate operational data. • Built interactive Power BI dashboards using DAX and Power Query to monitor operational KPIs, regional performance, enquiry trends, and project progress — replaced manual reporting and reduced weekly reporting effort by approximately 40%. • Resolved 20–30% data inconsistencies across multi-source operational datasets through data cleaning, structured validation, standardisation, QA documentation, and data dictionaries — improving data quality before reporting and analysis. • Identified seasonal demand patterns and regional performance trends across 3 states — uncovered 22% revenue concentration in Q2, delivering structured insights that supported inventory planning and business strategy decisions. • Forecasted investment cost and expected yield returns for upcoming crop cycles using Excel (Trendline, Forecast Sheet) based on historical records — directly informing budget allocation decisions. • Organised reporting data into fact and dimension tables using Star Schema principles — simplified Power BI data model structure, reduced report complexity, and improved dashboard query performance.
Data & Reporting Intern at Namdhari Seeds Private Limited, Oct 2021 - Nov 2021 · 2 mos, Bengaluru, Karnataka, India, I utilized data analysis techniques to enhance agricultural performance through supply-chain insights. • Analyzed correlations between sourcing lead time and yield/quality outcomes to inform decision-making. • Employed data cleaning and trend analysis to ensure data integrity and actionable insights. • Developed a strong foundation in KPI analysis and supply-chain dynamics within the agricultural industry.
Diploma in Data Science and AI, Data science, International Institute of Information Technology Bangalore
B.Sc. (Hons.) in Agriculture, Agriculture, Agriculture Operations, and Related Sciences, Bharatiya Engineering Science & Technology Innovation University
github: https://github.com/JayaVagga