Monisha R

Data Analyst

Bengaluru, Karnataka, India3 yrs 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Proven expertise in SQL and Power BI for data-driven insights.
Developed machine learning models improving SLA adherence by 30%.
Strong track record in cross-functional team collaboration.

Stackforce AI infers this person is a Data Analyst specializing in Logistics and Marketing Analytics.

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Skills

Core Skills

Data AnalysisBusiness Intelligence

Other Skills

C (Programming Language)Data VisualizationDeep LearningDockerEmbedded SystemsGenerative AIKubernetesLinux System AdministrationMachine LearningMicrosoft ExcelMySQLNatural Language Processing (NLP)Power BIPython (Programming Language)SQL

About

Data Analyst with 3.5 years of experience leveraging SQL, Python, and Power BI to deliver actionable insights and support data-driven decision making. Strong track record of working with cross-functional teams, transforming raw data into meaningful dashboards, reports, and predictive models. Skilled in analyzing large datasets, building automated reporting solutions, and creating interactive visualizations to drive business growth. Key strengths include: ✔ Advanced SQL for complex querying, optimization & ETL processes ✔ Python for data cleaning, analysis, and automation ✔ Power BI for interactive dashboards and executive reporting ✔ Strong problem-solving, stakeholder communication, and business understanding Passionate about solving real-world business challenges with data and continuously upskilling in Machine Learning & Generative AI. SQL (Advanced Joins, Window Functions, Query Optimization) Python (Pandas, NumPy, Data Cleaning, Automation, Visualization) Power BI (DAX, Data Modeling, Interactive Dashboards) Data Analysis | Business Intelligence | Data Storytelling Excel | ETL | Reporting Automation

Experience

Analytics avenue and advanced analytics

Data Analyst

Dec 2024 – Present · 1 yr 3 mos · Chennai, Tamil Nadu, India · On-site

Supply Chain Analytics
~Analyzed order fulfillment KPIsto identify bottlenecks across the fulfillment lifecycle.
~Performed cohort-style order analysis by region, warehouse, and carrier to understand how early-stage delays impacted on-time delivery performance.
~Developed Power BI dashboards to track SLA compliance, late delivery trends, breach reasons, and logistics partner performance in near real time.
~Built machine learning models to predict SLA breach risk at order level, enabling proactive intervention and contributing to 30% improvement in SLA adherence.

SQLPower BIMachine LearningData AnalysisBusiness Intelligence