Senior Business Analyst with 3 years of experience in data operations, analytics, and engineering. Proven track record in leading projects, enhancing data quality, and driving efficiency. Skilled in advanced data modeling, BI tool integration, and delivering data-driven insights. Recognized for reducing costs, improving accuracy, and leading successful campaigns.● Data-Driven Strategies for Business Performance Enhancement: Collaborated with cross-functional teams to identify and define KPIs, resulting in a 20% improvement in SLA and a 15% reduction in operational costs and presented findings and insights to the management team, significantly contributing to informed decision-making processes and optimizing supply chain efficiency.● Market Viability and Sustainability Assessment: Conducted comprehensive market research using advanced statistical techniques to evaluate the viability and sustainability of logistics business units. Leveraged data analysis to identify market trends, consumer behavior, and competitive landscape, providing actionable insights that led to a 10% increase in sales and a 12% growth in customer base.● Daily PnL System Development: Designed and implemented a comprehensive Daily Profit and Loss (PnL) tracking system capable of monitoring revenue, expenses, and EBITDA with 98% accuracy. The system integrates all revenue elements and both direct and indirect costs at a granular unit finance level. It Enabled management to access real-time financial insights into daily profit and loss figures, enhancing their ability to make informed strategic decisions quickly. The implementation of this system led to a 25% increase in financial reporting accuracy and a 30% reduction in financial discrepancies in the Daily PnL system.

Data Operations (Mar'23 – Present: RedX)->Data Requirement Management and Workflow Optimization : Spearheaded data management, refining stakeholder requirements and optimizing workflows.->Data Quality Improvement : Pioneered data quality checks, reducing errors by 20% and enhancing reporting accuracy by 10%.-> Data-driven Insights and KPIs : Collaborated with leaders to establish data-centric KPIs, consistently delivering actionable insights.-> Complex Problem Solving and Data Project Design : Analyzed complex challenges, leading data projects for impactful outcomes.-> Advanced Data Modeling and Cost Optimization :Crafted advanced data models, reducing data platform costs by 30%.Data Analytics and BI (April’22-Feb’23: ShopUp Service)-> BI Reports and Dashboards for Operational Enhancement : Developed Metabase reports and dashboards, boosting efficiency by 15%.-> Key Dashboards Collaboration : Collaborated with teams to construct essential dashboards, optimizing workflows.-> Data Insights Dissemination : Actively engaged in dashboard analysis, sharing insights with leadership and teams.-> Marketing Campaign Success : Led efforts for a 25% increase in customer engagement through effective campaigns.-> Data Governance Framework : Established a robust data governance framework for accuracy and compliance.-> OKR Success : Achieved a 97% success rate in meeting Objectives and Key Results (OKRs).Programming Languages and Tools : Python, SQL(MySQL,PostgresSQL,BigQuery), R (beginner),PowerBI,Tableau, Google Cloud Platform (GCP), Snowflake,Airbyte, Machine Learning (Numpy,Pandas,Seaborn, Matplotlib, scikit-learn, keras),Google Looker Studio, Excel, GitHub,Hevo,Metabase,DBT.Also I have experience to work with some additional tools . like Slack , Jira,ClickUp (Requirements, Project and Team management), Google Analytics, Notion (To Maintain Notes)

Data Engineering and Platform (Dec’21-March’22: ShopUp Service)• Data Integration: Accomplished seamless integration of Hevo ETL tool, Metabase BI solution, Google CloudPlatform (GCP)- BigQuery, DBT, Airbyte, GitHub, PowerBI, and other relevant tools into the data infrastructure,resulting in a highly scalable and efficient data platform.• Data Lake Architecture: Spearheaded the development of a robust data lake architecture, meticulouslydesigning data schemas, and implementing optimization strategies to reduce data retrieval times.• Data Performance Optimization: Executed advanced data partitioning and scheduling techniques within Google BigQuery, resulting in an impressive 18% improvement in query performance. Achieved and exceededthe query optimization Key Performance Indicator (KPI) by 92%, earning recognition and accolades.• Team Training and Collaboration: Played a pivotal role in enhancing team members' BI skills.• Troubleshooting and Issue Resolution: Demonstrated expertise in troubleshooting and resolving issues related to BI tools, data injection processes, and scheduled modeling, leading to the seamless operation of Data Models and Summary Tables.Data Science Projects (June’21 – December’21 : ShopUp Service)• Machine learning and data pipelines for fraud analysis: Reduced fraudulent transactions by 20% andstreamlined operations by 30% by implementing automated data pipelines for real-time fraud detection.• Sales prediction model: Pioneered a sales prediction model that improved overall efficiency by 35% byoptimizing warehouse management, procurement, and transportation for Mokam BU.• Market research: Conducted market research leveraging statistical techniques to assess the viability and sustainability of new business units, informing strategic decision-making.• KPIs and data-driven strategies: Collaborated with cross-functional teams to identify and define KPIs, and executeddata-driven strategies for enhancing business performance.

Fraud Detection Project (Remotely Worked):Contributed to OYO's cutting-edge Fraud Detection project, focusing on data preprocessing for robust model development. Leveraged advanced data cleansing techniques, outlier detection methods, and adeptly handled null values using Python, Pandas, and NumPy. Used Python libraries such as Matplotlib and Seaborn to visualize data. Successfully enhanced data quality metrics, ensuring optimal input for subsequent modeling, resulting in a 7% improvement in model accuracy.