SIVA POLAKA

Business Analyst

Bengaluru, Karnataka, India3 yrs 3 mos experience

Most Likely To Switch

Key Highlights

Proficient in data analysis and visualization tools.
Achieved 85% accuracy in machine learning algorithms.
Developed interactive dashboards for strategic decision-making.

Stackforce AI infers this person is a Data Analyst with expertise in E-Commerce and Retail analytics.

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Skills

Core Skills

Data AnalysisData VisualizationMachine Learning

Other Skills

Advance ExcelExcelExcel DashboardsExcel FormulasExcel PivotExtract, Transform, Load (ETL)Google Apps ScriptMatplotlibMicrosoft SQL ServerNumpyPandas (Software)Pivot TablesPower BIPythonR

About

Dedicated and detail-oriented data professional with 1.5+ years of experience, across Operations Executive (MIS) and Data Analyst roles. Passionate about uncovering insights and trends within complex datasets. Proficient in utilizing analytical tools and techniques to extract, analyze, and present data for informed decision-making. Seeking to apply expertise in data analytics to drive actionable outcomes and contribute to organizational success.

Experience

Flipkart

2 roles

Data Analyst

Promoted

Nov 2024 – Present · 1 yr 4 mos · On-site

Inventory Risk Management: Utilize Advance Excel, RStudio and Python for in-depth data
analysis of sale trends, Pricing changes, serviceability impact, put away delays and derive the
liquidation risk.
Loss Mitigation: Seek pricing support required basis the risk and DRR spike required to mitigate
the risk
Reporting: Share the daily, weekly & Monthly insights of risk, mitigation value, BSM contribution,
Power BI Dashboards: Developed interactive dashboards for sales data analysis, ATP,BSM
streamlining reporting workflows and providing actionable insights for strategic decision making.
Automation with Google Apps Script: Implement Google Apps Script to automate workflows,
boosting productivity across teams.

Advance ExcelRStudioPythonPower BIGoogle Apps ScriptData Analysis+1

Operation executive( MIS)

May 2023 – Oct 2024 · 1 yr 5 mos · On-site

Utilized customer feedback to inform the development of machine learning algorithms to predict and address potential issues.Achieved an impressive accuracy rate of 85% in identifying issue types through implementing these algorithms. Analyzed more than 5 lakhs of data to identify
breaches and sent reports to relevant stakeholders
Efficiently and effectively identified and solved all
problems that impacted direction of business.
Analyzed operational data and performance metrics to identify trends, evaluate performance against targets,and make data-driven decisions
Utilized SQL queries and R code for diverse data
extraction and real-time trend analysis
Designed and developed complex queries to move
and transform data from operational data sources to analytical databases Established standardized operational report

Machine LearningSQLRData Analysis

Analytixlabs

2 roles

Data Analyst

Nov 2022 – May 2023 · 6 mos · Bengaluru, Karnataka, India · On-site

Worked on multiple projects related to Retail/E
Commerce and Human Resources Conducted database cleansing/enrichment to ensure
data accuracy and reliability. Developed end-to-end data collection and storage/update solutions and Utilized SQL for data extraction and transformation
Used statistical methods to analyze data and generate useful business reports.
Experienced in Analytics tools like SQL (MS SQL Server), Power BI, and Excel and Techniques Used: Exploratory data analysis,visualization.

SQLPower BIExcelData AnalysisData Visualization

Data Analyst

Apr 2022 – Oct 2022 · 6 mos · Bengaluru, Karnataka, India · On-site

Completed multiple data analysis projects during an
internship, including: 1.Sports Case Study: Utilized
Excel to analyze sports-related datasets, identifying
trends and patterns to inform strategic decisions
2.E-Commerce/Retail Case Study: Conducted data
analysis using Python and MS SQL Server, extracting
insights from retail datasets to optimize business
operations
3.Restaurant Analysis Project: Led a comprehensive
data analysis project focused on the restaurant
industry, examining factors such as customer
preferences, menu optimization, and revenue trend
Assisted in data collection, cleansing, and preparation for analysis under the guidance of senior data analysts Contributed to the creation of predictive models using machine learning algorithms to forecast trends and outcomes.
Enhanced business efficiency by identifying trends
and patterns in complex datasets