Sweta Manglam

Experience

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  Smgeomatics

  Oct 2018 - May 2021

  Data Analyst

  In SM Geomatics my job roles were as follows:1. Inputting data manually or importing data from external sources into Excel spreadsheets. This may include raw data from databases, CSV files, or other formats.2. Cleaning and preparing data for analysis by removing duplicates, correcting errors, handling missing values, and formatting data appropriately.3. Using Excel's built-in functions, formulas, and tools to perform various types of data analysis, including:Descriptive statistics: Calculating summary statistics such as mean, median, mode, standard deviation, etc.Filtering and sorting: Filtering data based on criteria and sorting data to identify patterns.Pivot tables: Creating pivot tables to summarize and analyze large datasets.Data validation: Implementing data validation rules to ensure data accuracy and consistency.4. Creating visualizations such as charts, graphs, and histograms to present data insights effectively. Excel offers various chart types and formatting options to visualize data in a clear and understandable manner.5. Generating reports and dashboards to communicate analysis findings and insights to stakeholders. This may involve creating dynamic reports that update automatically as new data is entered or imported.6. Automating repetitive tasks and workflows using Excel macros (VBA) or Excel's built-in automation features. This can help streamline data processing and analysis tasks, saving time and reducing errors.7. Collaborating with colleagues and stakeholders to understand data requirements, gather feedback, and share analysis results.8. Documenting data analysis processes, methodologies, and assumptions to ensure transparency and reproducibility. Show less

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  Concentrix

  May 2021 - Jun 2022

  Client Representative

  In Concentrix, I was working for Facebook. My job roles were:1. Building out the data and reports to provide real-time insights into the product.2. Implementing long-term pricing experiment that improves customer value according to the needs of the advertisers.3. Building reporting to find areas of improvement for advertisers resulting in annual incremental revenue.4. Developing root cause reports to address problems with customer conversions, successfully revealing insights that boosted conversions.5. Handling client relationship management.6. Research and analysis of issues of the clients and finding an appropriate solution to it by developing and analyzing reports7. Design and analyze experiments to evaluate the impact of product changes or new features on user behavior and key performance metrics. Collaborate with product teams to design experiments, define success metrics, and interpret results.8. Utilize statistical methods, data mining techniques, and machine learning algorithms to analyze large datasets and extract meaningful insights. This may involve identifying trends, patterns, correlations, and anomalies in the data.9. Gather and preprocess data from various sources, including user interactions, application logs, and external APIs. This involves cleaning, transforming, and structuring data to make it suitable for analysis. Show less

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  ICG Medical

  Nov 2022 - now

  Data Analyst

  In ICG Medical, I develop predictive models to assess candidate suitability for specific job roles based on factors such as skills, experience, and cultural fit.Use machine learning algorithms to analyze historical data on successful placements and identify patterns that can predict candidate success in future roles.I analyze client requirements, preferences, and feedback to understand their needs and preferences. Provide data-driven recommendations and insights to improve client satisfaction and strengthen relationships.Conduct market research and analysis to identify industry trends and demands. I identify inefficiencies and bottlenecks in the process through data analysis and propose and implement process improvements and automation solutions to streamline workflows and enhance productivity.I create visualizations, charts, and reports to communicate data insights effectively to internal stakeholders and clients and tailor reports to address specific client needs and preferences, providing actionable recommendations based on data analysis.I also analyze talent pools and candidate databases to identify potential matches for open positions and anticipate future hiring needs and use clustering and segmentation techniques to categorize candidates based on their skills, qualifications, and career trajectories.I forecast hiring demand for different job roles and industries using time series analysis and demand forecasting models and provide recommendations for resource allocation and capacity planning to ensure that the company can meet client needs effectively.I conduct market research and competitive analysis to understand trends in the labor market, including salary benchmarks, skill shortages, and emerging job roles and use data insights to inform talent acquisition strategies and differentiate the company's offerings in the market. Show less