Karthika M

Data Scientist with strong hands-on experience in Python, SQL, Power BI, and machine learning. Proven ability to develop automated dashboards and predictive models that improve business outcomes. Known for end-to-end project execution and cross-functional collaboration.

Data Analyst - Himalaya Wellness

(2025-12)

• Handling Pan India operations and finance data across franchise and company-owned stores, improving data visibility by 40%
• Managed and analyzed end-to-end sales data for all retail outlets, enabling faster decision-making by 30%
• Developed automated dashboards (Power BI/Excel), reducing manual reporting effort by 60%
• Conducted region-wise performance analysis, identifying underperforming areas and improving sales opportunities by 20%
• Delivered data-driven insights to optimize future sales strategies, contributing to a 15% increase in sales efficiency
• Supported marketing campaigns analysis, improving campaign ROI by 20% through better targeting
• Managed and validated franchise claims, reducing errors and discrepancies by 25%
• Analyzed attendance and workforce data, improving manpower planning efficiency by 15%
• Tracked and optimized travel expenses, identifying cost-saving opportunities of 10%
• Monitored store-level KPIs (sales, footfall, conversions), improving overall performance tracking efficiency by 35%
• Collaborated with operations, finance, and marketing teams, improving cross-functional efficiency by 30%

Data Analyst - ITC Ltd

(2023-10 - 2025-12)

• Trained 30+ cross-functional teams across 12 plants in Power BI, resulting in a 75% increase in dashboard adoption
• Handling and analyzing SAP data from 12 manufacturing plants to support KPI tracking and business reporting
• Created Sun Flare KPI visualizations, reducing performance deviations by 40%
• Built predictive ML models on food line data, cutting unplanned downtime by 30%
• Built a Power BI dashboard that uses historical SAP data to forecast power and fuel consumption, enabling early budget planning
• Built an OpenCV model to detect damaged/missing labels in food packaging improved quality checks by 35%
• Analyzed shift/attendance data to forecast manpower requirements reduced scheduling issues by 25%
• Automated KPI alert systems, enabling real-time intervention and reducing operational risks
• Supported ITC's green initiatives by identifying 15% efficiency opportunities
• Automated comparison of material purchases vs. actual usage flagged 25% excess purchases across plants
• Predicted food production waste levels by correlating batch size, machine settings, and raw material quality reduced wastage by 15%
• Developed Power BI dashboards to forecast utility KPIs and flag anomalies using historical trends
• Created a centralized dashboard system to monitor file uploads from 12 factories via OneDrive
• Built dashboards to track solar power generation vs. thermal power improved renewable usage by 20%
• Identified slow-moving and overstocked C-class inventory via ABC analysis

Data Scientist - Acviss Technologies

(2022-11 - 2023-06)

• Built image-based counterfeit detection using Python + OpenCV, saving 50–60% QA time
• Developed anomaly detection dashboards for product scan tracking, improving response time by 40%
• Supported backend teams in rule-based testing and ML validation for system accuracy and stability
• Evaluated model performance using confusion matrices, precision-recall curves, and iterative tuning with GridSearchCV
• Implemented QR code scan validation model to detect fraudulent packaging patterns using pattern recognition
• Prepared and cleaned large image datasets, applying data augmentation techniques to improve model training accuracy

B.E. - Computer Science and Engineering - Coimbatore Institute of Engineering and Technology (2018 - 2022)

HSC - TVS Matriculation Hr. Sec. School, Madurai (2016 - 2018)

SSLC - TVS Matriculation Hr. Sec. School, Madurai (2015 - 2016)