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Abhinav varma Konderu

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Karnataka, India
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Résumé

Jobs verified_user 0% verified
  • Compass Group USA
    Data Analyst
    Compass Group USA
    Aug 2025 - Current (1 year 2 months)
    Own weekly performance reporting for venue operations, consolidating data from registration exports, catering files, and internal trackers into a single refreshable Power BI view.Built and maintain a dashboard suite using Tableau and Power BI for recurring planning meetings; standardized KPI definitions and DAX measures so teams are aligned on how metrics are calculated.Created a forecasting workflow using Python and SQL to support staffing and space planning (seasonality, lead time, event type, historical attendance); improved reliability of short-term booking projections by 30% compared with prior manual estimates.Automated recurring data prep in SQL + Python to clean, validate, and join registration/catering/feedback datasets, reducing m
  • I
    Data Analyst
    Indo Swiss Remedies Pvt Ltd
    Apr 2022 - May 2024 (2 years 2 months)
    Automated recurring regional sales reporting in SQL and Microsoft Excel (Power Query / Pivot Tables), improving turnaround time by 50% and making weekly performance visibility easier for field teams.Cleaned and standardized multi-source sales, product, and territory data (naming, hierarchies, missing values) using business analysis principles, improving consistency across monthly reviews and reducing rework by 20%.Built territory profitability and product-mix analyses using Tableau visualization to surface growth opportunities; shared findings with sales leadership for coverage planning and territory discussions.Produced monthly leadership summaries outlining performance vs. targets and key drivers, plus recommended actions; aligned assumpt
Education verified_user 0% verified
  • CALIFORNIA STATE UNIVERSITY, NORTHRIDGE
    Master of Science in Business Analytics
    CALIFORNIA STATE UNIVERSITY, NORTHRIDGE
    Aug 2024 - Current (2 years 2 months)
    CGPA: 3.6/4.0
  • Anurag University
    Bachelor of Technology in Computer Science
    Anurag University
    Aug 2020 - Jun 2024 (3 years 11 months)
    CGPA: 3.3/4.0
  • M
    Microsoft Azure: AZ-900 Azure Fundamentals, PL-900 Power Platform Fundamentals
  • I
    Infosys Springboard: Python Basics, Introduction to Data Science, Fundamentals of AI
  • G
    Great Learning: SQL Projects, Data Visualization with Power BI
Projects (professional or personal) verified_user 0% verified
  • U
    U.S. Nursing Home Financial Viability Analysis
    Jan 2015 - Dec 2021 (7 years)
    Consolidated seven years of CMS data (2015-2021) encompassing 15,000+ nursing homes to evaluate financial sustainability through the integration of cost reports, ownership types, regulatory penalties, and quality metrics.Uncovered a 250% increase in net income and a 1,178% profitability surge among large facilities (>100 beds) during the COVID-19 period, attributing gains to federal relief funding and penalty suspensions.Built a predictive regression model (R2 = 0.89) that identified profit margin, facility size, ownership structure, and quality ratings as the most significant drivers of financial performance.Delivered actionable investment and operational efficiency recommendations by correlating higher CMS quality ratings (4-5 stars) w
  • H
    Healthcare Price Transparency Data Pipeline & Analytics
    Designed and deployed a scalable ETL pipeline to process 200+ hospital price transparency datasets across Kansas and Oklahoma, standardizing multi-format data sources using Python (pandas, psycopg2) and PostgreSQL.Automated data ingestion with dynamic encoding detection (UTF-8, CP1252, Latin-1) and schema validation protocols, achieving 100% consistency in header alignment and column structure.Constructed a normalized relational schema (21+ standardized fields) supporting batch processing and cross-facility benchmarking for real-time data exploration.Developed a data quality framework to validate referential integrity and resolve encoding discrepancies, enhancing analytical accuracy across 100,000+ payer- procedure combinations.Conducted co
  • S
    Smart Inventory & Promotion Optimization - Walmart Supply Chain Analytics
    Engineered a Random Forest-based forecasting model (R2 = 97.45%, WMAE = $1,634) to predict weekly sales across 45 stores and 81 departments, enabling data-driven replenishment and procurement planning.Devised a multi-level inventory replenishment framework (Base, Safety, and Final Stock Levels ≈1.21× predicted demand) validated through residual analysis, minimizing inventory imbalances and reducing stockouts by 18%.Developed an ML-powered promotion classifier with 100% precision in identifying high-impact sales weeks, optimizing markdown strategies and maximizing promotional ROI across departments.Integrated heterogeneous datasets including POS transactions, weather data, and macroeconomic indicators (fuel prices, CPI) to measure elasticity