Shoaib Akthar

Data professional with 4+ years of experience in data analytics, machine learning, and data science to solve complex business problems. Skilled in Python, SQL, Databricks, Microsoft Fabric, Azure, and Power BI, with specialized expertise in developing automated data workflows, feature engineering, exploratory data analysis, and delivering actionable insights that drive data-informed decision-making.

1. Sr. Data Analyst / Data Scientist

   Sigmoid· Bangalore, India

   Current February 2026 - Present

   • Developed advanced analytical solutions using Python and SQL to evaluate digital marketing performance, uncover customer engagement patterns, and generate actionable insights for campaign optimization and business growth.
   • Conducted exploratory data analysis (EDA) and statistical analysis on large-scale marketing datasets to identify trends, audience behavior, conversion drivers, channel effectiveness, and opportunities to improve marketing ROI.
   • Designed and automated data preparation and feature engineering workflows for marketing analytics, integrating data from multiple sources to create reliable datasets for performance measurement, forecasting, and advanced analytics.
   • Partnered with marketing, product, and business stakeholders to translate campaign objectives and business challenges into data-driven analytical frameworks, KPI measurement strategies, and actionable recommendations.
   • Maintained and enhanced 40+ Power BI reports supporting digital marketing analytics, delivering actionable insights while optimizing data models, DAX calculations, RLS setup, and report refresh performance.

2. Data Analyst

   HCLTech· Bangalore, India

   July 2022 - February 2026

   • Developed Python-based data pipelines to automate the collection, cleansing, and processing of large-scale datasets, reducing manual effort by over 90%.
   • Processed and analyzed millions of Bill of Material (BOM) and cost records using Python (Pandas, NumPy) to identify cost trends, pricing anomalies, and cost optimization opportunities.
   • Performed exploratory data analysis (EDA) and statistical modeling on manufacturing and sourcing datasets to directly inform executive decision-making.
   • Engineered features and transformed raw data from multiple enterprise sources including Oracle databases, SharePoint, Excel, and CSV files into analytics-ready datasets.
   • Designed scalable data models and analytical solutions to support cost forecasting, supplier performance analysis, and operational reporting.
   • Extracted, queried, and analyzed structured data from Oracle databases using SQL to uncover business insights and support cross-functional data initiatives.
   • Built automated workflows using Python and Selenium to collect and consolidate data from multiple enterprise systems, improving data availability and accuracy.
   • Collaborated with engineering, sourcing, and finance stakeholders to translate complex requirements into analytical solutions and executive recommendations.
   • Developed interactive analytical dashboards and KPI monitoring solutions using Power BI to communicate insights to business leaders and global stakeholders.
   • Optimized data processing workflows, analytical models, and reporting solutions, significantly improving query performance and reducing refresh times.