Sumit Kumar

Business Analyst

Bengaluru, Karnataka, India3 yrs 9 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Achieved 60% predictive accuracy improvement in HR metrics.
Automated data extraction, reducing collection time by 90%.
Developed user-friendly HR analytics app using Gen AI.

Stackforce AI infers this person is a Data Science and HR Analytics professional with strong automation skills.

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Skills

Core Skills

Data SciencePredictive AnalyticsMachine LearningData Visualization

Other Skills

Actuate ReportingAnalyticsAnomaly DetectionApplied Machine LearningAutomated ProcessesAutomated data pipelineAzure DatabricksAzure OpenAI LLMBIRT ProjectBack-End Web DevelopmentBusiness intelligence toolsClaims ProcessingClaims dataClient SurveysCompetitive Pricing

Experience

Muthoot fincorp one

Busniess analyst

Sep 2024 – Present · 1 yr 7 mos · Bengaluru, Karnataka, India · On-site

Accenture

3 roles

HR BI Analytics I

Promoted

May 2023 – Jun 2024 · 1 yr 1 mo

Forecasting Model: Collaborated with stakeholders to forecast employee metrics and future hires using Regression and FB Prophet, achieving predictive accuracy improvements of 60% and 55% respectively, and integrated Python in PowerBI for report development.
Developed models for financial budgeting and HR strategy optimization, created an automated data pipeline in Azure Databricks for weekly updates, ensuring 100% timely and up-to-date model for decision-making.
Gen AI Works: Developed a user-friendly app using Streamlit UI to enhance interaction with HR Workday portal, Cultural Survey, and Colleague Survey data, reducing client reliance on recurring tasks.
Created AI tools that significantly reduced analysis time for employee sentiments and concerns, and provided actionable insights for business improvements.
Utilized Langchain Azure OpenAI LLM model, Prompt Engineering, and Python for backend development, ensuring robust app performance through rigorous testing and maintenance.

Forecasting ModelRegressionFB ProphetPythonPowerBIAutomated data pipeline+8

DT Enterprise Data Strategy I

Promoted

Jan 2023 – Apr 2023 · 3 mos

Conducted end-to-end data analysis for claims data, from ingestion and pre-processing to metric calculation and outlier detection, leading to a 55% improvement in anomaly detection accuracy.
Applied Statistical (Tukey’s rule, Z-Score) and Machine Learning (One-Class SVM, Isolated Forest) techniques to identify and prioritize outlier behaviors, facilitating actionable insights and trend analysis using PySpark on Azure Databricks.

Data analysisClaims dataMetric calculationOutlier detectionStatistical techniquesMachine Learning+3

Data Extraction (Web Scrapping) I

Sep 2022 – Dec 2022 · 3 mos

Automated Web Scraping: Automated data extraction processes using Selenium and Python, reducing data collection time by 90% for competitor Insurance pricing analysis and improving workflow efficiency.
Insurance Data Analysis: Delivered comprehensive data for an insurance company, eliminating manual procedures and increasing data accuracy by 80%.

Web ScrapingSeleniumPythonData extractionInsurance pricing analysisData Science

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MIS Executive

Aug 2019 – Sep 2020 · 1 yr 1 mo

Developed and presented comprehensive reports, dashboards, and business intelligence tools using MS Excel and Google Sheets to management, enhancing data-driven decision-making and operational efficiency.
Developed and implemented strategies to improve operational efficiency. Monitored and analyzed data to identify trends and opportunities.

ReportsDashboardsBusiness intelligence toolsMS ExcelGoogle SheetsOperational efficiency+1