Data & Analytics professional with 4+ years of experience designing and delivering end-to-end reporting frameworks, data pipelines, and automation solutions that drive measurable operational efficiency. Proven ability to…
Data & Analytics professional with 4+ years of experience designing and delivering end-to-end reporting frameworks, data pipelines, and automation solutions that drive measurable operational efficiency. Proven ability to translate complex, multi-source datasets into governed, decision-ready insights for senior stakeholders across cross-functional agile teams. Hands-on with SQL, Python, and Power BI; experienced in data quality, metadata management, and process transformation. Passionate about leveraging data and AI/ML to solve complex business problems and drive informed decision-making across industries.
Experience
T
System Engineer (Data Analyst — Pfizer Project)
Tata Consultancy Services·Thane , Maharashtra , India
Mar 2022 - Present · 4 years 3 months
Significantly reduced manual reporting effort by building end-to-end data pipelines in Python (Pandas, NumPy) and SQL across global regions, replacing manual reconciliation with governed, automated workflows that enforced data quality, lineage, and metadata management standards. Accelerated executive decision-making by delivering self-service KPI dashboards in Power BI tracking revenue contribution, productivity improvements, and operational efficiency — migrating stakeholders from ad-hoc Excel reporting to a governed analytics platform with documented data lineage. Streamlined management reporting turnaround by designing Python-based automation solutions for data extraction, transformation, and cleansing across structured and semi-structured datasets, enabling on-demand performance reporting for global leadership teams. Strengthened data governance and reporting integrity across a multi-site, multi-product dataset by implementing validation frameworks, metadata protocols, and data quality checkpoints — reducing downstream reporting errors and ensuring consistency across regional business units. Elevated stakeholder engagement at leadership level by translating operational data into structured management summaries and polished PowerPoint presentations, enabling data-driven decisions across cross-functional agile teams spanning operations, finance, and technology. Identified performance anomalies and efficiency opportunities by conducting exploratory data analysis (EDA) across production and site-level datasets using SQL and Python, surfacing insights that directly informed process improvement and change management initiatives. Minimised deployment errors and manual intervention by developing a Python automation tool for website migration workflows, improving process controls and enabling repeatable, auditable operational delivery across cross-functional teams. Improved operational efficiency of support teams by scripting Python and Shell-based automation solutions for repetitive operational tasks, freeing capacity for higher-value transformation and consulting activities. Maintained code integrity and continuous delivery quality by managing version control via GitHub across automation deliverables, supporting seamless deployment and continuous upgradation of digital solutions in line with agile delivery standards. Resolved technical issues across API-integrated platforms (Postman, AWS S3, Zendesk) while maintaining SLA compliance, supporting operational governance and change management initiatives with documented runbooks and process controls.
