A

Anurag sharma

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National Capital Territory of Delhi, India

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Résumé


Jobs verified_user 0% verified
  • Cognifyz Technologies
    Data Analysis Intern
    Cognifyz Technologies
    Apr 2025
    As a Data Analysis Intern at Cognifyz Technologies, I had the opportunity to work on real-world projects Involving data manipulation and analysis using Python. • Extracting insights from large datasets to support data-driven decision-making • Cleaning, preprocessing, and analyzing data using statistical techniques • Creating data visualizations to communicate key findings • Collaborating on Python-based projects focused on actionable business intelligence
  • R
    BUSINESS DEVELOPMENT ASSOCIATE
    Raaj Khosla Co. & Pvt Ltd
    Jul 2021 - Oct 2023 (2 years 4 months)
    • Delivered effective problem-solving solutions to enhance customer satisfaction and retention, ensuring seamless service delivery. • Monitored and tracked sales performance, identifying and reporting new business opportunities to management for strategic growth. • Achieved recognition as the top revenue generator in the team consistently on a monthly basis. • Provided comprehensive training and mentorship to new hires, ensuring a smooth onboarding process and skill development. • Managed inbound sales processes, fostering client relationships and driving business conversions for the NBFC • Assisted in the development of BI solutions tailored for financial clients, which increased reporting accuracy and improved client satisfaction sc
Education verified_user 0% verified
  • M
    PG Data Science and AI Program Program
    Meritshot Zetta Edutech Private Limited
    Apr 2024 - Dec 2024 (9 months)
  • T
    Bachelor's of Computer Application
    Teerthankar Mahaveer University
    Jul 2017 - Apr 2020 (2 years 10 months)
Projects (professional or personal) verified_user 0% verified
  • D
    Deloitte.
    Apr 2025
    • Completed a Deloitte job simulation involving data analysis and forensic technology • Created a data dashboard using Tableau • Used Excel to classify data and draw business conclusions
  • I
    IPL Data Analysis
    Jul 2024 - Aug 2024 (2 months)
    • Analyzed IPL match data to identify top-performing cities, players, and teams, revealing insights such as Mumbai hosting the maximum matches (101) and Chris Gayle winning the most "Player of the Match" awards (21). • Investigated team performance trends, including Mumbai Indians' record win by 146 runs and Chennai Super Kings' best margin of 97 runs, along with location-based winning patterns • Conducted exploratory data analysis (EDA) to uncover popular IPL seasons, toss decisions, and venue distributions, enabling strategic insights for teams and stakeholders.
  • P
    Pizza Sales Analysis
    May 2024 - Jun 2024 (2 months)
    • Analyzed 1 million rows of sales data from a fictional pizza house and music store using SQL, leading to a 50% decrease in processing time and identifying 20% more sales opportunities. • Developed visualizations to effectively communicate findings, enhancing data storytelling and supporting data-driven decision-making. • Identified key performance indicators (KPIs) that improved business strategy, contributing to a 15% increase in targeted marketing effectiveness.
  • T
    Tata Data Visualisation
    Apr 2025
    • Completed a simulation involving creating data visualizations for Tata Consultancy Services • Prepared questions for a meeting with client senior leadership • Created visuals for data analysis to help executives with effective decision making
  • H
    HR Analytics Dashboard
    Mar 2024 - Apr 2024 (2 months)
    • Designed and implemented an interactive HR dashboard to visualize key employee metrics such as turnover rates and performance reviews, identifying trends that could reduce attrition by 15%. • Leveraged data analysis techniques to uncover underlying factors influencing employee satisfaction and retention, resulting in a 30% increase in employee engagement. • Streamlined reporting processes, resulting in a 40% reduction in time spent on manual data compilation, enhancing HR operational efficiency.
  • B
    Big Mart Data Analysis
    Jan 2024 - Feb 2024 (2 months)
    • Performed univariate, bivariate, and multivariate analysis to reveal product distribution trends, with Fruits & Vegetables and Snack Foods being the most stocked item types. • Examined outlet sales performance, highlighting OUT-027 as the top revenue generator ($3.45M), with maximum sales in Fruits & Vegetables ($576K) and Snack Foods ($513K) • Identified customer preferences by store size and location type, finding that medium sized stores and Tier 3 locations dominate sales, providing actionable insights for inventory