Hello, my name is
Abhinav Bagwari
I'm a Software Developer and ML Entusiast

About me

Self motivated computer engineering student with teamwork abilities and great communication skills. I am looking for an opportunity in the field of Software Development and Data Analytics to expand my learnings, knowledge, and skills. I look forward to establishing myself by adapting new technologies.

  • Dedication, proactiveness, passion and focus on results in the area related to Software development
  • Knowledge of statistical analysis, such as A/B testing, Hypothesis Testing and other Predictive Analytics skills
  • Hands on experience in Machine Learning, Deep Learning and Natural Language Processing toolkits such as Tensorflow, Keras, NLTK, Word2Vec, NumPy, Pandas, Matplotlib, Seaborn, etc
  • Peformed Sentimental Analylsis using LSTM and BERT and also created Machine Learning, Deep Learning and NLP projects with Deployment
  • Knowledge of MySql, relational databases, database concepts, dimensional modeling and database design
  • Familiarity with Big Data technologies like Hadoop and Spark

Resume

My Services

Data Analytics

Data Analytics

Excels at maintaining large databases, performing data collection and analysis, and conducting detailed reports. Possess great analytical skills, excellent multitasking skills, strong attention to detail, and significant ability to work in a team.

Machine Learning

Machine Learning

Provided data modeling, mining, pattern analysis, data visualization, created End to End Projects with deployment with the help of ML models.

Deep Learning

Deep Learning

Build and train neural networks using TensorFlow. Handle real-world image data and explore strategies to prevent overfitting, including augmentation and dropout.

Natural Language Processing

Natural Language Processing

Started with basic libraries such as NLTK for Text Pre-Processing which includes tokenization, stopwords removal, lemmatization/stemming and representing sentences as vectors, so that they can be input to a neural networks. Also learn to apply RNNs, GRUs, and LSTMs in TensorFlow.

Database Management

Database Management

Data integrity,Database planning and design,Data analysis-accessing,managing and updating organized collection of data.

Web Design

Web Design

Plan, create and code internet sites and web pages. Created many or the projects including this Portfolio.

My Skills

Deep Learning
Machine Learning
Natural Language Processing
Exaploratory Data Analysis
Python
MySql
C++
Html5
CSS3 + BootStrap
JavaScript
Ms Excel
Flask

My Projects

Covid Detection based on X-rays.

Predicting the patient of getting affected by covid by looking into their X-rays with the help of Multilayer Convolutional Neural Network | Deep Learning.
Download, extract the file and run the flask app to to detect the disease.

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Next Word Prediction

Predicting upcoming word by processing the previous typed words.
Used N-grams modelling and edit distance in order to recommend best matching word.

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game-mario

Created with the help of html canvas and pure javascript with some physics logics.
Extact Zip -> Install some dependencies -> ENJOY PLAYING

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Disease Predictor

This is an end to end Machine Learning project that is able to predict the chances of getting a disease in organs like liver, kidney, heart, etc. based on the patients current condition.

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IPL Score Predictor

Given the venue, Teams Playing, Batsmen, Bowlers, our model is able to predict the score at the end of powerplay.

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Malaria Disease Detection using Vgg19

This Dataset is taken from the official NIH Website. The model is trained over 27,558 images of Infected and Uninfected cells.
Download, extract the file and run the flask app to to detect the infection.

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Twitter Sentiment Analysis using LSTM.

Extracted over 16 Lacs tweets using the twitter API.

The model that determine the class (positive, negative) of the text.We train our model on the existing data. The resulting model will have to determine the class of new texts (test data that were not used to build the model) with maximum accuracy.

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Live Covid Tracking

An analysis of tracking live Covid Cases in India which shows the current number of active cases in each state with graphical representation.
The Dataset is taken from MINISTRY OF HEALTH & FAMILY WELFARE which is updated every day at 2:00 AM.

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Machine Learning Pipelines

All the lifecycle of Machine Learning is present right from the beginning.

  1. Data Analysis / Data Preprocessing
  2. Feature Engineering
  3. Feature Selection
  4. Model Building
  5. Model Deployment

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Contact me

Get in Touch
Name
Abhinav Bagwari
Contact No.
+91 9897406832
Address
Rudraprayag, Uttarakhand
Email
abhinavbagwari@gmail.com
Message me