Datwani Niyati Pitumal
Postgraduate student in AIML passionate about Natural Language
Processing, Machine Learning and Deep learning. Proficient in a range of modern technologies including Python,Machine learning Algorithms and NLP,keras,Tensorflow,Data analysis,Data structure,Deep neural networks etc.
E/24 Chintan Flats Nayan Nagar
Krishna Nagar nr Jain Derasar
Ganpat University, Ahmedabad — B.Sc.(IT)
august 2015 - june 2018
CGPA - 07.4/10.0
Gujarat University, Ahmedabad — M.Sc.(AI&ML)
july 2018 - 2020
Rollwala department of computer science
Percentage - _
1ST YEAR MSC (AI & ML)
TRAVELLING SALESMAN PROBLEM
The traveling salesman problem is a problem in which the goal is to find the shortest path between different cities. This project gives a solution to find an optimum route for traveling salesman using GENETIC ALGORITHM TECHNIQUE.
LIBRARIES: Numpy for Math, Sklearn for implementing Machine Learning algorithms, Pandas for dataframe and Matplotlib for visualizations. 1ST YEAR MSC (AI&ML)
EMAIL SPAM-HAM CLASSIFICATION
The goal of this project is to build a spam filter that can effectively categories an incoming Email
as either “spam” or “ham”.
Different Machine learning algorithms such as NAÏVE BAYES, SUPPORT VECTOR
MACHINE (SVM), KNN, DECISION TREE, RANDOM FOREST have been used to find out
weather the given EMAIL is “spam” or “ham”.
LIBRARIES: Numpy for math, Sklearn for implementing machine learning algorithms, Pandas for
dataframe and Matplotlib for visualizations.
Artificial Intelligence and
Machine Learning, Big Data,
Python, C, C++,Jupyter
Notebook, Spyder, Google
colab,MS SQL Server,
Short term certificate course
on High performance
computing and Deep learning
from IIT Roorkee.
Udemy Certification course of
machine learning : Machine
Learning A-Z Kaggle master
Udemy Certification course of
machine learning : Deep
Solo Learn Certification
course of C++, Python, Java,
SQL and C#
2ND YEAR MSC (AI&ML)
The goal of this project is to compare the advantages and disadvantages of both RULE-BASED and LEARNING-BASED chatbot.
In RULE-BASED chatbot using MACHINE-LEARNING algorithms In LEARNING-Based chatbot using DEEP- NATURAL LANGUAGE PROCESSING.
3RD YEAR B.Sc(IT)
Outlaw is a game to find all the treasure hidden in city, village and forest. You earn points when
you find treasure. Outlaw shows you different realistic scenes of ahmedabad. As the player is First
game character you will enjoy the real scene of city in front of you. LANGUAGE: c# using visual studio
tools: UNity3d, 3ds Max 2018, Audacity, Adobe Photoshop CC 2018 OTHER PROJECTS:
Text classification is the process of assigning tags or categories to text according to its content. It’s one of the fundamental tasks in Natural Language Processing (NLP) with broad applications such as sentiment analysis, topic labeling, spam detection, and intent detection. TWITTER SENTIMENT ANALYSIS
The objective of this task is to detect Positive and Negative speech in tweets. So, the task is to classify Positive and Negative s tweets from other tweets.