Anisha Singh

Business Analyst

Gurugram, Haryana, India1 yr experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in data analysis and predictive modeling.
Proficient in SQL, Python, and PySpark for data workflows.
Skilled in building dashboards for actionable insights.

Stackforce AI infers this person is a Data Analyst with expertise in logistics and transportation analytics.

Contact

Skills

Core Skills

Data AnalysisSqlMachine LearningPython

Other Skills

PySparkData VisualizationData WarehousingArtificial Intelligence (AI)Hierarchical ClusteringRegression ModelsDSACloud ApplicationsAzure Key VaultAzure Logic AppsAzure DatabricksAzure Data FactoryMicrosoft AzureMicrosoft Power BIMicrosoft Excel

About

Driven by a strong passion for solving real-world problems through data, I specialize in data analysis, pipeline development, and predictive modeling. My technical expertise spans Python, SQL, Excel, and cloud platforms like Azure. I'm proficient in data visualization tools such as Tableau, Power BI, and experienced with big data frameworks like PySpark. I'm also familiar with modern data warehousing solutions and Databricks. I thrive on uncovering actionable insights, building scalable data workflows, and automating processes to drive measurable business impact. Open to collaborating on data-driven solutions that create meaningful value.

Experience

1 yr

Total Experience

1 yr

Average Tenure

1 yr

Current Experience

Blinkit

2 roles

Business Analyst

Sep 2025 – Present · 7 mos · Gurugram, Haryana, India · On-site

Business Analyst Intern

Apr 2025 – Sep 2025 · 5 mos · Gurugram, Haryana, India · On-site

Working closely with the Last Mile team, focusing on optimizing delivery operations and driver performance metrics.
Conducted in-depth analysis using SQL to extract, manipulate, and visualize delivery-related datasets for actionable insights.
Leveraged PySpark to process large-scale data efficiently, enabling faster experimentation and operational improvements.
Identified key bottlenecks in delivery timelines and supported the design of data-driven interventions to enhance overall logistics efficiency.
Collaborated with cross-functional teams including product, ops, and engineering to support strategic decision-making through dashboards and ad-hoc analyses.

SQLPySparkData Analysis

Celebal technologies

Data Science Intern

Jun 2024 – Aug 2024 · 2 mos · Jaipur, Rajasthan, India · Remote

Assisted in building and validating machine learning models for classification and regression tasks, contributing to client-specific analytics use cases.
Performed data cleaning, feature engineering, and exploratory data analysis (EDA) to improve model accuracy and insights.
Collaborated with senior data scientists on end-to-end project pipelines, from data ingestion to model evaluation and reporting.
Documented workflows and delivered insights through visualizations and reports to support client decision-making.

Machine LearningData Analysis

Luein analytics

Data Analyst Intern

Jun 2024 – Aug 2024 · 2 mos · Remote

Worked on a comparative analysis project involving ride-hailing platforms such as Ola, Uber, Rapido, and others. The objective was to build a data-driven solution that helps users make informed decisions on which platform to book based on real-time pricing, estimated time of arrival (ETA), and user preferences.
Collected, cleaned, and analyzed pricing and availability data across multiple vendors using Python.
Built dashboards to visualize key metrics and trends, enabling seamless vendor comparison for stakeholders.
Assisted in developing an intelligent recommendation system to suggest the most cost-effective and efficient ride option for users.

PythonData Analysis