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Dathu Swamy: Skills

Dathu Swamy is a Data Scientist with over 5 years of experience in data-driven digital transformation, specializing in machine learning, deep learning, and natural language processing. He has worked on various projects in e-commerce and automobile domains, utilizing technologies like LSTM, YOLO, and TensorFlow. Dathu holds a B. Pharmacy degree from JNTU Hyderabad and possesses strong programming skills in Python and expertise in data validation and visualization tools.

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0% found this document useful (0 votes)
16 views2 pages

Dathu Swamy: Skills

Dathu Swamy is a Data Scientist with over 5 years of experience in data-driven digital transformation, specializing in machine learning, deep learning, and natural language processing. He has worked on various projects in e-commerce and automobile domains, utilizing technologies like LSTM, YOLO, and TensorFlow. Dathu holds a B. Pharmacy degree from JNTU Hyderabad and possesses strong programming skills in Python and expertise in data validation and visualization tools.

Uploaded by

dathugurram16
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Dathu Swamy

Data Scientist
Capitalizing the 5+ years of domain experience in Large-scale Data-driven Digital Transformation (Al & ML), Analytics Adoption for
business problem-solving..

dathugurram16@gmail.com 6301081524 Hyderabad, India

SKILLS

Machine Learning Computer Vision Open CV Deep Learning Natural Language Processing Spacy Gensi

Sciki TensorFlow Pytorch Linear Regression Logistic Regression Cluster Analysis Random Forest

Xgboost CNN RNN LSTM BERT Transformers Python Pandas NumPy Regression

Classification STEMMING LEMMATIZATION

WORK EXPERIENCE
Data Scientist
Accenture
09/2017 - Present,

ABSTRACT

• Having 5+ years of IT experience in Data Science domain.

• Expertise in Machine Learning, Deep Learning, Neural Networks, Natural Language processing (NLP), Statistical Modelling,
Predictive Modelling, Data & Text Analysis

• Working Knowledge in applied Mathematics such as Linear Algebra, Calculus and Statistics.

• Researched and developed advanced computer algorithms to create, display and improve quality and clarity of digital images as
required as well as analyzed, tested and verified real site data and developed effective methods for feature extraction and
classification.

• Created visual representations of data and methods and used variety of image processing algorithms to convert signals from
image sensors into digital images as needed as well as compressed images for communication across networks

• Participated in requirement analysis and researched, designed, developed and verified signal and image collection systems as
well as created test cases for image processing and related hardware or software validation as required.

• Adept in programming languages like Python. • Having good knowledge on BERT and Transformers.

• Visualization Tools: Matplotlib, Seaborn • Expertise in business verticals like Automobile, E-Commerce and Retail etc.

• Expertise in developing chatbots using google dialogue flow.

• Good Knowledge in Data Validation, Data Cleaning, Data Verification and Identifying data mismatch.

• Strong ability to adapt to new technologies and a proactive team player, having strong desire and capabilities to efficiently
convert Customer's requirements into solutions.

• Capable of working on complex and mission critical applications with strong project, people and time management skills.

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PERSONAL PROJECTS
Domain: E-Commerce
Role: Data Scientist
Technologies: LSTM, NLP, RegEx
Tools: PyTorch, TensorFlow
ROLES & RESPONSIBILITIES:
1.Spam classification.
2.Clssify the customer orders.
3.Preprocess the text data using NLP and RegEx.
4. We can split the data.
5. Train the data using LSTM.

Domain: Automobile
Role: Data Scientist
Technologies: Yolo, Unet
Tools: PyTorch, TensorFlow
ROLES & RESPONSIBILITIES:
1.Surround view camera of autonomous driving vehicle.
2.Preprocess the images using OpenCV and NumPy.
3.Train the model and save model
4.To detect the objects using yolo v5 model.
5.To detect the semantic segmentation using UNet model.
6.Then deploy the model.

Natural Language Processing


Objective: Using NLP and Machine learning, make a model to predict the rating in a review base on the contents of the text review. This will help
identify cases where there is a mismatch.
Analysis to be done: Perform specific data clean-up, build a rating prediction model using Random Forest technique and NLP.

NLP-Create text summarizer


By using automatic text summarization, a way of identifying meaningful information in a document and summarizing it while conserving the overall
meaning. The purpose is to present a shorter version of the original text while preserving the semantics.

EDUCATION
B. Pharmacy
JNTU Hyderabad
10/2008 - 05/2012,

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