FlowCV Logo
Shalinee Sahoo
Professional Experience

Client Analytics Specialist

Next Growth Labs
02/2024 – present | Bangalore, India
  • •Utilized data analysis for user engagement metrics led to a 20% increase in app installs and a 15% boost in user retention. Successfully optimized ASO and SEO strategies for maximum impact and growth.
  • •Increased app downloads by 30% through strategic keyword optimization and ASO techniques on both the Play Store and App Store.
  • •Boosted organic traffic by 25% through data-driven SEO improvements, resulting in higher visibility and user acquisition.
  • •Generated a 10% increase in conversion rates through A/B testing of app store listings and landing pages, optimizing for higher download conversions.

    • Data Analyst Intern

    PSYLIQ
    12/2023 – 01/2024
  • •Conducted comprehensive data analysis using Excel, Power BI, and SQL, contributing to project success.
  • •Executed SQL queries for large datasets, reducing query time by 25% and boosting database performance.
  • •Leveraged advanced Excel features for precise calculations, improving data accuracy by 18%.
  • •Pioneered Power BI dashboard creation with DAX queries, driving 25% data-driven decision accuracy, fostering streamlined reporting, and boosting business insights.

    • Software Engineer Trainee

    Cognizant Technology Solutions
    07/2022 – 07/2023 | Bangalore, India
  • •Extracted, transformed, and analyzed large-scale insurance claims data using SQL, identifying fraudulent patterns and reducing fraudulent claims by 25% in a high-risk industry.
  • •Resulted 20% reduction in data processing time and enhanced the overall efficiency of the team by developing tailored SQL queries.
  • •Delivered technical support, resolving complex issues with a 20% downtime reduction. Managed 30+ Jira tickets, ensuring prompt resolutions.
  • •Led creation of impactful Power BI dashboards, empowering data-driven decisions with 95% accuracy, fueling business growth.
  • •Maintained reports with a 98% on-time delivery and leveraged and implemented robust data cleansing procedures, improving data accuracy by 30%.
  • •Automated Excel macros cut manual processing time by 50%, boosting accuracy and yielding a 20% workflow efficiency gain.

    • Education

    Masters in Computer Application

    ITER, SOA Deemed to be University
    11/2020 – 07/2022 | Bhubaneswar, Odisha

    BSc (Computer Science)

    Prananath Autonomous College
    07/2017 – 09/2020 | Khordha, Odisha

    Council of Higher Secondary Education

    Jupiter Women's +2 Science College
    07/2015 – 05/2017 | Bhubaneswar, Odisha
    Certificates
    Technical Skills
    Hard Skills :
    • •Data Analysis
    • •Business Analysis
    • •Data Warehousing
    • •Data Visualization
    • •Programming
    • •ETL Process
    Techniques :
    • •Data/Business Analytics
    • •Statistical Analysis
    • •A/B testing
    Tools :
    • •SQL
    • •Microsoft Power BI (DAX | Power Query)
    • •Microsoft Excel (Advanced: VBA | Macros | Pivot)
    • •Google Analytics
    • •Python
    Other :

    Ms Office

    Projects

    E-Commerce Sales Analysis

    Tool used: Power BI
  • •Examined E-Commerce Sales data for YTD sales performance and identify top and bottom performing products.
  • •Integrated YTD sparklines for visualizing monthly trends, aiding in understanding the growth trajectory.
  • •Evaluated Year-to-Date (YTD) Sales across regions to identify both the highest and lowest performing areas nationwide, with a focus on developing strategies to foster regional growth.

    • Customer Churn Analysis

    Tool used: Power BI
  • •Performed thorough analysis of customer churn and determined that 26.5% of the total customer base had churned.
  • •Recognized key factors contributing to churn, including younger customers, those with a tenure of under 12 months, subscribers on month-to-month contracts, users of fiber optic services, and customers with high charges.
  • •Offered suitable suggestions to aim for a minimum of 15% improvement in retaining customers.

    • Restaurant Rating Analysis

    Tool used: PostgreSQL
  • •Employed SQL to analyse restaurant data, extracting key metrics such as average rating, review count, and geographical location.
  • •Conducted in-depth investigations to uncover correlations between location, cuisine, pricing, and ratings, driving advancements in the restaurant industry.
  • •Performed a thorough examination of top-performing and underperforming restaurants within each cuisine category, offering actionable insights to drive improvement initiatives.

    • ATLIQ Hospitality Domain Revenue Analysis

    Tool used: Power BI
  • •Carried out in-depth evaluation of ATLIQ's Revenue data, revealing a total revenue of 1.69 billion over a three-month period, with peak revenue achieved in July.
  • •Identified notable revenue trends, with Mumbai emerging as the foremost revenue-generating city, closely followed by Bangalore.
  • •Quantified customer satisfaction with a robust average rating of 3.62, affirming the overall positive sentiment and validating successful initiatives to elevate service quality and enhance the guest experience.
    • Courses