S

Sreeja Kandukuri

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Texas, United States

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Résumé


Jobs verified_user 0% verified
  • SRS Consulting Inc
    Power BI Data Analyst
    SRS Consulting Inc
    Jun 2025 - Current (1 year 1 month)
    Developed interactive Power BI dashboards to monitor recruiter performance, client progress, and key TA metrics across 50+ users, enabling leadership to make data-driven decisions. Built a centralized reporting solution to track job requisitions, submissions, placements, and client engagement, improving visibility into the recruitment funnel by 20%. Automated performance tracking for team leads and recruiters, increasing reporting efficiency and reducing data processing time by 20%. Identified key bottlenecks in the recruitment lifecycle through real-time visualizations, contributing to a 15% improvement in overall placement rate.
  • Humanitarians AI
    Data Scientist
    Humanitarians AI
    Jan 2025 - Feb 2025 (2 months)
    Deployed a causal inference AI agent leveraging llama Large Language Model and advanced statistical analysis achieving 95% accuracy. Executed using synthetic data to support scalable agent which can be utilized across diverse domains such as healthcare, marketing, and social sciences reducing system downtime by 10%.
  • W
    Marketing Data Analyst Intern
    World Salon
    Sep 2024 - Jun 2025 (10 months)
    Integrated SEO strategies based on startups market research and business analysis, resulting in a 10% increase in online traffic. Conducted trend analysis using Looker and Google Analytics on audience insights that informed monthly business process improvement. Leveraged Advanced Excel tools like Pivot Tables and LOOKUP, INDEX MATCH, IF functions for data validation techniques to identify key KPIs, which led to a 15% increase in project efficiency.
  • Straumann Group
    Data Analyst
    Straumann Group
    Apr 2024 - Jun 2024 (3 months)
    Utilized Pandas, SciPy, scikit-learn, Matplotlib, Seaborn Python libraries to implement Apriori and FP-Growth algorithms for customer segmentation in dental products, created product bundles using collaborative filtering that boosted cross-selling opportunities by 10%. Designed and developed dynamic Power BI dashboards to analyze over 3 million sales records, streamlined ETL and data modeling process, enabled strategies for identifying top-performing and underperforming products.
  • Google
    Strategist/Data Analyst
    Google
    May 2022 - Apr 2023 (1 year)
    Spearheaded the execution of data-driven Google Ads strategies driving a 20% increase in sales and 15% growth in leads as a client. Deployed advanced tracking mechanisms via Google Tag Manager within Google Analytics enhancing customer engagement monitoring. Engineered and customized reports and visuals which delivered actionable insights on keywords planning and management that led to a 15% boost in business performance as per marketing objective. Strong verbal and written communication skills with detailed documentation were presented, translating complex data insights to non-technical stakeholders, which facilitated informed decision-making across cross-functional teams.
Education verified_user 0% verified
  • Northeastern University
    Master of Science in Analytics, Applied Machine Intelligence
    Northeastern University
    Jul 2024 - Current (2 years)
  • St Francis College for Women
    Master of Science in Computer Science
    St Francis College for Women
    Apr 2022 - Jul 2024 (2 years 4 months)
  • St Francis College for Women
    Bachelor of Science in Computer Science, Mathematics
    St Francis College for Women
    Sep 2020 - Apr 2022 (1 year 8 months)
  • M
    Microsoft PL 300: Microsoft Certified Power BI Analyst Prep
    Certified by Udemy
Projects (professional or personal) verified_user 0% verified
  • C
    Credit Card Fraud Detection
    Developed a financial analysis model using Python in Google Colab, identifying fraudulent transactions with a 99.95% accuracy and 100% precision, minimizing false positives to enhance customer trust. Implemented a Random Forest Classifier, achieving an F1-Score of 87.93% and Matthews Correlation Coefficient of 0.89, demonstrating robust classification performance.
  • H
    HIV Incident Rates
    Analyzed HIV incident rates in the Asian region, to identify high-risk regions, correlations between income levels and infection rates, and the impact of healthcare access, delivering actionable insights that reduced incident rates by 10%. Implemented Common Table Expressions and subqueries to streamline complex queries, reducing execution time by 30%.