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Ankit8544/README.md

Ankit Kumar

๐Ÿ‘‹ Hi there! Iโ€™m Ankit, a data enthusiast with a passion for leveraging technology to drive impactful insights and innovative solutions. My journey in Data Science and Software Development has equipped me with the skills to analyze complex data, create predictive models, and design insightful visualizations.


๐Ÿ” About Me

  • ๐ŸŒŸ Iโ€™m interested in Data Analytics and Machine Learning.
  • ๐ŸŽฏ Iโ€™m focused on mastering tools like Excel, Power BI, MySQL, and advanced technologies like Python, Deep Learning, and Big Data.
  • ๐Ÿ“ฌ You can reach me at: ankitkumar875740@gmail.com.

๐ŸŽ“ Education

S.t. Severin's High School

2015 โ€“ 2018
A solid foundation in core academic disciplines, achieving consistent performance across subjects like Mathematics, Science, and English.

Sir G.D. Patliputra High School

2018 โ€“ 2020
Focused on Science with a specialization in Physics, Chemistry, and Mathematics, honing my analytical and problem-solving abilities.

Ram Krishna Dwarika College

2021 โ€“ 2024
Bachelorโ€™s Degree in Computer Applications

  • Gained expertise in software development, programming languages, and database management.
  • Acquired strong skills in web technologies and application development.
  • Key Courses: Object-Oriented Programming, Data Structures, Web Development, and Database Systems.

PW Skills

2023 โ€“ 2024
Pursuing Data Science through online learning, specializing in:

  • Data Analysis: Using Python, R, and SQL for effective data manipulation and extraction.
  • Machine Learning: Building models for predictive analysis and data-driven decision-making.
  • Big Data: Hands-on experience with tools like MongoDB, Hadoop, and Spark.
  • Data Visualization: Expertise in Power BI and Tableau to communicate insights through interactive dashboards.

๐Ÿ’ผ Simulated Work Experience

AWS APAC Solutions Architecture Virtual Experience Program

Forage โ€” August 2023

  • Designed a scalable cloud hosting solution using AWS Elastic Beanstalk to handle client growth.
  • Communicated technical concepts and cost structure clearly, ensuring non-technical clients understood the architecture and pricing.

Accenture North America Data Analytics and Visualization Job Simulation

Forage โ€” June 2024

  • Modeled and analyzed seven datasets for a social media client, uncovering trends for strategic content decisions.
  • Delivered insights through a PowerPoint deck and video presentation to both internal stakeholders and clients.

British Airways Data Science Job Simulation

Forage โ€” June 2024

  • Scraped and analyzed customer reviews, extracting insights to improve customer experience and sales strategies.
  • Built a predictive model to forecast customer buying behavior, enhancing data-driven decisions.

PwC Switzerland Power BI Job Simulation

Forage โ€” September 2024

  • Developed Power BI dashboards to visualize key performance indicators (KPIs) and generate actionable insights for clients.
  • Conducted data analysis on HR metrics to address gender imbalances within executive management, providing data-driven solutions.

Tata Data Visualization: Empowering Business with Effective Insights Job Simulation

Forage โ€” September 2024

  • Delivered high-impact data visualizations that informed executive decisions at Tata Consultancy Services (TCS).
  • Collaborated on strategic questions to facilitate decision-making, driving business success through data analytics.

๐Ÿ› ๏ธ Skills & Expertise

Skill Area Proficiency Tools & Technologies
Data Analysis & Visualization 80% Python (Pandas, NumPy), Power BI, Tableau, Excel
Database Management 70% MySQL, MongoDB, SQL Server
Programming Languages 80% Python, JavaScript, HTML/CSS, C++
Statistical Analysis & Machine Learning 50% Scikit-learn, TensorFlow, R
Big Data Technologies 10% Hadoop, Spark, MongoDB
Natural Language Processing (NLP) 65% NLTK, SpaCy, TextBlob
Presentation & Communication 50% PowerPoint, Google Slides, Effective Email Communication

๐ŸŒŸ My Key Projects

  • Retail Sales Dashboard: Built an interactive Power BI dashboard to track sales performance, identify trends, and optimize inventory decisions.
  • Customer Sentiment Analysis: Applied NLP techniques on customer reviews to analyze sentiments and improve product strategies for a leading retail brand.
  • Machine Learning Model: Developed a predictive model to forecast customer churn using Python and Scikit-learn.

Feel free to explore my repositories and connect with me for collaboration on projects related to Data Analytics, Machine Learning!


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