Oct 2024 – Mar 2025 · 5 mos · Indianapolis, Indiana, United States · On-site

• Led site production-metrics analytics: defined KPIs (throughput, yield, past-due, RFT) and delivered weekly
• executive dashboards in Power BI with standardized, reusable data models.
• Built Python/SQL ETL pipelines (pandas, numpy, SQLAlchemy/pyodbc) integrating MES historian sources;
• engineered time-series/SPC features and documented end-to-end lineage.
• Delivered POCs for pharma operations (deviation trending, cycle-time/yield optimization, anomaly detection)
• using scikit-learn/stats models; presented findings and scaled successful prototypes.
• Established data-quality & governance: reconciliation rules, outlier tests, and audit logs; authored SOPs/data
• dictionary and aligned analytics with GMP/ALCOA+ and change-control requirements; supported FMEA/RCPS.
• Automated refreshes and alerts via scheduled Python jobs and Power Automate; published secure Power BI
• Apps with role-based access; trained Operations/Quality on dashboard use and interpretation

Nov 2023 – May 2024 · 6 mos · Indianapolis, Indiana, United States · Hybrid

• Built end-to-end Python ETL pipelines (pandas, NumPy, SQL Alchemy/pyodbc) to ingest and clean procurement, inventory, and operations data from SQL/CSV/SharePoint; modeled star-schema datasets for analytics.
• Developed interactive dashboards by exporting curated Data Frames to Power BI and Plotly; implemented
• DAX/time-intelligence or pandas time-series logic (YTD/MTD, rolling windows) for KPI tracking.
• Automated refresh and validation: scheduled Python jobs (cron) and on-prem gateway updates, added dataquality checks (null/outlier tests, reconciliation rules), and logged runs for auditability.
• Wrote optimized SQL for extracts and views; profiled performance, indexed key tables, and documented lineage, data dictionaries, and SOPs for reproducible analysis.
• Partnered with IT and stakeholders to define metrics, access, and cadence; managed secure sharing via Azure ADran ad-hoc analyses (trend, Pareto, 5-Why), and presented insights to leadership.

Aug 2022 – Nov 2023 · 1 yr 3 mos · Indianapolis, Indiana, United States · Hybrid

• Provided advanced analytical support for student data across the university in various areas like class schedule, On-Campus Employment, external reporting, and other student-related activities.
• Executed tasks involving data ETL, and reconciliation of large volumes of data across multiple system platforms and sources, conducted thorough reviews of data to determine operational impacts, identified trends, and recommended necessary actions.
• Developed and delivered comprehensive reports and deliverables tailored for management, utilizing tools such as MS Excel, SQL, and other data warehouse analytical tools.
• Ensured compliance with federal and state deliverable reporting requirements by performing data quality audits and analysis.
• Proficient in handling diverse datasets, performing in-depth analyses, and ensuring compliance with student and university data. Accuracy and performance improved by 23.67%.

Dec 2020 – Sep 2021 · 9 mos · Greater Bengaluru Area · On-site

• Employed advanced tools, including Ahref and Google Analytics, to perform in-depth research on user behavior, extracting valuable insights to inform and enhance web content strategy.
• Formulated strategic recommendations presented to the SEO and Digital Marketing teams, ensuring the continuous optimization of web pages to surpass user expectations.
• Actively participated as a front-end developer when necessary, concentrating on the application's aesthetic and functional aspects using CSS and JS.
• Achieved a substantial increase in user reach by 38.86%, resulting in consistent placement of web pages within the top 5 search results on Google.

Aug 2019 – Aug 2022 · 3 yrs · Hyderabad, Telangana, India · On-site

• Migrated legacy SAP HANA reports by sourcing data through SQL Server into Microsoft Fabric Dataflows.
• Gathered and analyzed business requirements by engaging with stakeholders to define reporting needs and translated them into technical specifications and data models.
• Supported SAP Basis operations for a mid-sized retail client: created/maintained users and roles (SU01/PFCG), monitored work processes and system logs (SM50/SM51/SM21/ST22), and escalated abnormalities.
• Assisted with transports and landscape hygiene: moved changes via STMS from DEV→QA under guidance, validated import logs, scheduled/tracked background jobs (SM36/SM37), and documented results.
• Helped with basic system housekeeping: applied SAP Notes with SNOTE alongside a senior Basis engineer, maintained RFC destinations (SM59) and printer configs (SPAD), and wrote step-by-step SOPs/rollback plans.
• Developed entry-level ABAP deliverables: simple reports/ALV lists using Data Dictionary objects, clean SELECTs with basic joins, form routines and function module calls; performed basic debugging (/h, SE80) and unit tests.
• Produced clear documentation: change tickets, transport logs, test evidence, and “how-to” guides for user provisioning, job monitoring, and simple data uploads (LSMW/BDC) to support knowledge transfer.