About me

I'm a Data Analyst based in Prayagraj,Uttar Pradesh, India, who turns numbers into actionable stories using Python. With libraries like Pandas, NumPy, and Matplotlib,using Excel,Power BI and Tableau, I dive deep into data to uncover insights, solve problems, and create stunning visualizations.

Explore my projects to see how I’ve cleaned, analyzed, and visualized data to drive smarter decisions in finance, healthcare, and e-commerce.

Let’s transform data into impact!

MY SKILLS

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    Dashboard designing

    The most modern and high-quality,live designs made at a professional level using Power BI and Tableau.

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    Data Cleaning

    I work on data cleaning to develop high-quality databases using Excel and Python libraries. .

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    Problem Solving

    I keep working on bottleneck solutions to enhance my problem solving skills.

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    Buiding Chatbots

    I love working one new chatbots and AI models.I have a belief that training AI models is an opportunity to satisfy our hunger of curiousity.

Projects

  • Ansh Pratap Singh

    Chill & Thrill

    A movie recommendation system that is made using Python & Flask Framework as a toolbox for recommending movies to users according to their interests...

  • Ansh Pratap Singh

    M-Track

    A real-time memory allocation tracker developed using Python, Flask, and psutil. This tool visualizes dynamic memory usage through an interactive web ...

  • Ansh Pratap Singh

    ProgressPulse

    An Online Journal Tracker that is built using Python & Flask Framework as a toolbox for researchers and students to organize, summarize, and stay ahead in their academic ...

Certificates

  • AI Vector Search
    (Oracle Certification)


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  • A Guide to Machine Learning with Data Science
    (Cipherschool)


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  • Dashboard Designing
    MicroLearning (Tata)


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  • SQL
    Database Management (Great Learning)


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  • Excel
    Business Analytics with Excel (Simpilearn)


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  • Agile Project Management
    (HP)


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  • Responsive Web Designing
    (Free Code Camp)


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  • Digital System
    (Universitat Autonoma de Barcelona-Coursera)


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  • Python Programming
    for Beginners (HackerRank)


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  • Java Programming
    for Beginners (HackerRank)


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  • Computer Organisation
    Hardware and OS (IBM)


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  • Computer Networks
    (University of Colorado -Coursera)


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  • C for
    Beginners (Great Learning)


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  • Energy Literacy
    (Energy Swaraj Foundation)


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  • Sustainablity
    (Nestle)


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Resume


Education

  1. Lovely Professional University - Jalandhar,Punjab

    2023 - Present

    I have completed fourth semester of my Bachelor of Technology in Computer Science with a CGPA of 9.23 . Having DATA SCIENCE as minor, I have learned about Data Cleaning, Project Management, Data Visualisation,Database Management System along with programming languages like Java,Python and C++.I am looking for an internship opportunity to enhance my skills and develop a better understanding of corporate working environment.

  2. Saint John's Academy - Prayagraj,U.P.

    Apr 2016 - Mar 2023

    I pursued my schooling from Saint John's Academy,one of the most prestigious CISCE board school of Prayagraj. It was a wonderful experience to be a part of such an environment with active participation in sports as well as extra co-curricular activities. I was the captain of the Green House and won several School and Inter-School events which include Olympiads,Debate,Speech,Dumb-Charades Competion. Being the captain of Kabaddi,Tug-o-War and Basketball team,I won the Inter-House Trophy for thes events. I passed my Higher Secondary in Mathematics, with flying colors having a percentage of 92.25!

Project Experience

  1. Movie Recommendation System

    2024 -2025

    Developed Movie Recommendation System using Python and MySQL. Implemented advanced Filters for best user experience. Features include user, choices, and movie recommendation. Movie recommendation system is done through Content-Based Filtering method, depending on the desired complexity, data availability, and goals. Here is the approache made : Content-Based Filtering This system recommends movies based on characteristics (or "content") of items the user has enjoyed in the past. For movies, this could involve genre, director, actors, or keywords extracted from movie descriptions.
    How It Works: The system compares the content of movies the user likes with the content of other movies, using algorithms like cosine similarity to find movies with similar features.
    Example: If a user has watched several action movies with certain actors, the system will recommend similar action movies or movies featuring the same actors or directors. Source code & other details:Chill-n-Thrill

  2. Real Time Memory Allocation Tracker

    2025

    A real-time memory allocation tracker developed using Python, Flask, and psutil. This tool visualizes dynamic memory usage through an interactive web dashboard, helping users understand memory distribution, allocation patterns, and system performance in real time. The most important part of my project includes paging and segmentation simulation.
    Working: The system directly finds the real time memory used by each application or process listing the top memory consumers of the system using psutil library. M-Track

  3. Online Journal Tracker

    2025

    An Online Journal Tracker that is built using Python & Flask Framework as a toolbox for researchers and students to organize, summarize, and stay ahead in their academic journey. Users can come to the platform from any device (Responsive UI Design) and start by categorizing their research, creating accurate citations, and summarizing complex content in one click. They can also explore smart suggestions for new ideas and gain insights into future trends in their field using AI-powered analysis.
    How it Works:It works great for researchers and journal writers suggestion them new ideas and solutions,providing recommendations ,OCR and several other features. ProgressPulse

My skills

  • Data Visualization
    80%
  • Data Cleaning
    70%
  • UI Designing
    80%
  • Coding and Implementation
    90%
  • ML Model Building
    90%
  • AI Vector Search
    50%

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