Hello!

I'm Aman Mani Tripathi



Data Scientist

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Name: Aman Mani Tripathi

Job Role: Data Scientist

Experience: 6 Months

Address: Greater Noida, India

Skills

SQL 95%
PYTHON 90%
Data Visualization 90%
Statistical Analysis 85%
Machine Learning 90%
Deep Learning 90%
Natural Language processing 90%

About

About Me

Driven Data Science enthusiast with a solid foundation in Python, machine learning, deep learning, NLP, and data visualization. Committed to solving real-world challenges through data-driven insights and collaborative innovation. Experienced in building end-to-end ML and NLP projects, and continuously expanding skills in AI, statistics, and big data tools to make meaningful impact.

  • Profile: Data Science & ML | DL
  • Domain: Retail, Ecommerce, BFSI & Digital Marketing
  • Education: Master of Computer Application
  • Language: English, Hindi
  • Skills: Python,Pandas, Numpy,Plotly Scipy,Matplotlib,Seaborn, NLP,OpenCV,TensorFlow,Scikit-Learn,Keras,SQL,PowerBI , Excel ,Github ,Vscode, & java
  • Interest: Traveling, playing cricket & Coding

0 +   Projects completed

LinkedIn




Education


2020-2023

Bachelor of Computer Applications

Deen Dayal Upadhyaya Gorakhpur University

Grade: First class distinction.

2023-2025

Master of Computer Applications

Galgotias University Greater Noida

Grade: First class distinction.

Download CV

Projects

Projects

Below are the sample Data Science projects on Python, Machine learning & Deep learning.

Self Driving Car Using CNN

Developed a CNN-based self-driving perception system trained on 26,000 labeled images to perform real-time object detection, lane and sign recognition, and semantic segmentation — integrated with a lightweight inference pipeline for low-latency in-vehicle deployment.

Network Intrusion Detection System

Developed an XGBoost-based Network Intrusion Detection System trained on large-scale network traffic data to accurately classify malicious and benign connections — achieving high detection accuracy while reducing false positives through optimized feature engineering and model tuning.

UPI Fraud Detection Using XGBoost

Developed an XGBoost-based UPI Fraud Detection System trained on large-scale transactional datasets to identify suspicious and fraudulent payment activities — enhancing financial security by accurately classifying genuine vs. fraudulent transactions with minimal false alerts.

Resume Screening using ML & NLP

The app supports PDF resume uploads and displays relevant insights through a user-friendly interface. This project reduces manual screening time and increases the efficiency of the recruitment process.

Book recommendations System using Machine learning

The Book Recommendation System suggests books to users based on their interests and preferences. It uses collaborative filtering to analyze user ratings and recommend similar books.

IPL winning team probability prediction

The IPL Probability Prediction project forecasts the winning chances of IPL teams during a live match. It uses machine learning algorithms trained on historical IPL match data.


SMS Spam Classifier using Machine learning

The SMS Spam Classifier detects whether a given message is spam or not using machine learning.Users can input any message, and the system will instantly classify it as “Spam” or “Ham” (Not Spam).

Fake NEWS detection System

The Fake News Detection System identifies whether a given news article is real or fake using machine learning.It processes the news text using Natural Language Processing (NLP) techniques like TF-IDF vectorization.

Car Price prediction

The Car Price Prediction System estimates the selling price of a car based on various features. This project is useful for both buyers and sellers to make informed decisions in the used car market.

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0 Projects

More projects on Github

I love to solve business problems & uncover hidden data stories


GitHub

Contact

Contact Me

Below are the details to reach out to me!

Address

Greater Noida, India

Contact Number

+918756604890

Email Address

amanmanit133@gmail.com

Download Resume

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